Alert.png The wiki is deprecated and due to be decommissioned by the end of September 2022.
The content is being migrated to other supports, new updates will be ignored and lost.
If needed you can get in touch with EGI SDIS team using operations @ egi.eu.

Difference between revisions of "Federated Cloud Communities"

From EGIWiki
Jump to navigation Jump to search
(Created page with "== Current FedCloud Users and Communities == This table provides a summary of the communities that are already collaborating with the EGI Federated Cloud offering use cases, re...")
 
 
(363 intermediate revisions by 9 users not shown)
Line 1: Line 1:
== Current FedCloud Users and Communities  ==
{{Fedcloud_Menu}}


This table provides a summary of the communities that are already collaborating with the EGI Federated Cloud offering use cases, requirements and valuable feedback.
{{FCloudCom_menubar}}
{{TOC_right}}


{| cellspacing="5" cellpadding="5" border="0" class="wikitable"
<big>Technical support is available via the [mailto:support@egi.eu EGI.eu Support Team]</big>
|- valign="top"
 
| [http://www.wenmr.eu/ WeNMR]
== Introduction  ==
| The objective of WeNMR is to optimize and extend the use of the NMR and SAXS research infrastructures through the implementation of an e-infrastructure in order to provide the user community with a platform integrating and streamlining the computational approaches necessary for NMR and SAXS data analysis and structural modelling. Access to the e-NMR infrastructure is provided through a portal integrating commonly used software and GRID technology.
 
|- valign="top"
This wiki page provides information about the user communities and use cases who are exploiting the EGI Federated Cloud infrastructure and its services. These use cases and communities collaborated (or collaborate in the past) with the EGI Federated Cloud to enable scientific applications, simulations or tools in virtualised environments. The evolution of the Federated Cloud infrastructure is driven by the requirements of these use cases and the needs of the broader scientific community and industry in the European Research Area.
| [http://www.peachnote.com Peachnote.com]  
 
| Peachnote is a music score search engine and analysis platform. The system is the first of its kind and can be thought as an analog of Google Books Ngram Viewer and Google Books search for music scores. Hundreds of thousands of music scores are being digitized by libraries all over the world. In contrast to books, they generally remain inaccessible for content-based retrieval and algorithmic analysis. There is no analogue to Google Books for music scores, and there exist no large corpora of symbolic music data that would empower musicology in the way large text corpora are empowering computational linguistics, sociology, history, and other humanities that have printed word as their major source of evidence about their research subjects. We want to help change that. Peachnote provides visitors and researchers access to a massive amount of symbolic music data.
The EGI Federated Cloud User Support (FCUS) team during the porting and integration work of the use cases into the Federated Cloud, follows a well defined process described bellow. The various phases are described as well, and will be used in the next coming tables to list the [[Federated Cloud Communities#Ongoing_Use_Cases|ongoing]], [[Federated Cloud Communities#Production_Use_Cases|production]] and [[Federated Cloud Communities#Closed_Use_Cases|closed]] use cases.
|- valign="top"
 
| [https://guse.sztaki.hu/liferay-portal-6.0.5/ WS-PGRADE]  
Use cases in a pre-assessment phase are not listed in this page.
| WS-PGRADE is a portal environment for the development, execution and monitoring of workflows and workflow based parameter studies on different Distributed Computing Infrastructures (DCI). The tool is developed by an open consortium lead by MTA SZTAKI, member of the Hungarian NGI. WS-PGRADE is used by various scientific collaborations and support teams in Europe and beyond. WS-PGRADE is interfaced with Service Grids (gLite, UNICORE, ARC, Globus), Desktop Grids (BOINC) and cluster (PBS, LFS) middleware through the elements of the gUSE service stack. WS-PGRADE and gUSE are actively used and further developed in the [http://www.shiwa-workflow.eu/ SHIWA] and [http://www.sci-bus.eu/ SCI-BUS] FP7 projects.
 
|- valign="top"
[[Image:Cloud.Use.Cases.StatusV2.PNG|center|800px|Cloud.Use.Cases.StatusV2.PNG]]
| [http://www.esa.int/export/esaSC/120377_index_0_m.html GAIA-Space]  
 
| Gaia is a global space astrometry mission. Its goal is to make the largest, most precise three-dimensional map of our Galaxy by surveying an unprecedented number of stars - more than a thousand million.
{| cellspacing="0" cellpadding="10" border="1" class="wikitable sortable"
|- valign="top"
|-
| [http://bncweb.info/ BNCWeb]  
! Status
| BNCWeb is an interface to the British National Corpus, a dataset of 100 million words, carefully sampled from a wide range of texts and conversations to provide a snapshot of British English in the late 20th century. This is a key reference work in English studies, linguistics and language teaching and is widely used in a wide variety of computational linguistic applications. BNCWeb offers powerful search and analysis functions for searching the text and exploiting the detailed textual metadata. It is an open source project, and the BNC is freely available for educational and research purposes.
! class="unsortable" | Description
|- valign="top"
|-
| [http://diracgrid.org/ DIRAC interware for eScience communities]  
| Pre-assessment
| The DIRAC interware project provides a framework for building ready to use distributed computing systems. It has been proven to be a useful tool for large international scientific collaborations integrating in a single system, their computing activities and distributed computing resources: Grids, Clouds and HTC clusters. In the case of Cloud resources, DIRAC is currently integrated with Amazon EC2, OpenNebula, OpenStack and CloudStack. Some Monte Carlo (MC)simulation campaign were realized at the large scale project Belle II, providing over 10.000 thousand CPU days from Amazon. Until this use case in Fedcloud-tf, all cases have made used of a single cloud at a time. The work integrates the resources provided by the multiple private clouds of the EGI Federated Cloud and additional WLCG resources, providing high-level scientific services on top of them by using the DIRAC framework. New design has been adopted by a federated hybrid cloud architecture (Rafhyc). Initial integration and scaling tests demonstrates the architecture is valid to manage federated hybrid cloud IaaS to provide eScience SaaS. The solution has been adopted by [http://lhcb-comp.web.cern.ch/lhcb-comp/DIRAC/ LHCb DIRAC] for the LHCb computing on federated clouds, using end-points just like another computing resource.
| FCUS members identified a potential use case that can profit from the EGI Federated Cloud services
|- valign="top"
|-
| Assessed
| The use case requirements are assessed with relevant information added to a dedicated wiki page, to manage the full porting &amp; integration process
|-
| Preparatory
| The user &amp; FCUS team setup the environment to execute tests on the FedCloud (configuration of client environment, identify resource providers, upload vm images, ...)
|-
| Test &amp; Integration
| Users are accessing the FedCloud through the fedcloud.egi.eu VO to execute tests while integrate their applications to the infrastructure
|-
| Pre-production
| Test &amp; integration phases were successfully completed. Create a production Virtual Organization (VO) or join an already existing VO
|-
| Production
| VO&nbsp;negotiate and agree on VO SLA&nbsp;with EGI. Use case is being used in production. The use case completed all tests and is regularly making use of the Federated Cloud using a production level VO
|-
| Closed
| Test &amp; integration successfully completed. Use case does not foresee moving into production.
|-
| Cancelled
| Test &amp; integration did not successfully completed. User cancelled the use case.
|}
 
== Production Use Cases  ==
 
The following table shows the use cases in production status phase that are regularly making use of the EGI Federated Cloud using a production level VO.  
 
{| cellspacing="0" cellpadding="10" border="1" class="wikitable sortable"
|-
! Community
! class="unsortable" | Description
! [http://wiki.egi.eu/wiki/VT_Scientific_Discipline_Classification Scientific discipline]
! VO
! class="unsortable" | Sites
! class="unsortable" | Further information
|-
| [http://www.biovel.eu/ BioVeL]  
| [http://portal.biovel.eu/ BioVeL Portal]: it is a browser-based interface that contains everything necessary to run users' workflow without user having to install anything on their own computer.  
| Natural sciences
Biological sciences Biodiversity conservation
 
| [http://operations-portal.egi.eu/vo/view/voname/biomed biomed]
| [https://appdb.egi.eu/store/site/bifi BIFI], [https://appdb.egi.eu/store/site/cesnet-metacloud CESNET-MetaCloud], [https://appdb.egi.eu/store/site/prisma-infn-bari PRISMA-INFN-BARI]
| [[FedCloudBiovelPortal|Wiki page]]
|-
| [http://www.biovel.eu/ BioVeL]
| [http://openrefine.org/ OpenRefine]: it is a powerful tool for working with messy data, cleaning it, transforming it from one format into another, extending it with web services, and linking it to databases.  
| Natural sciences
Biological sciences Biodiversity conservation
 
| [http://operations-portal.egi.eu/vo/view/voname/biomed biomed]
| [https://appdb.egi.eu/store/site/bifi BIFI], [https://appdb.egi.eu/store/site/cesnet-metacloud CESNET-MetaCloud], [https://appdb.egi.eu/store/site/prisma-infn-bari PRISMA-INFN-BARI]
| [[FedCloudOpenRefine|Wiki page]]
|-
| [http://www.biovel.eu/ BioVeL]
| [http://openmodeller.sourceforge.net/ OpenModeller]: The Ecological Niche Modelling (ENM) Workflow takes as input a file containing species occurrence points to create a model with the openModeller Web Service.  
| Natural sciences
Biological sciences Biodiversity conservation
 
| [http://operations-portal.egi.eu/vo/view/voname/biomed biomed]  
| [https://appdb.egi.eu/store/site/cesnet-metacloud CESNET-MetaCloud]
| [[FedCloudOPENMODELLER|Wiki page]]
|-
| [http://www.biovel.eu/ BioVeL]  
| [https://wiki.biovel.eu/display/doc/BioVeL+Service+-+BioSTIF BioSTIF]: it is a web map application designed for the interactive visualisation of spatio-temporal data.  
| Natural sciences
Biological sciences Biodiversity conservation
 
| [http://operations-portal.egi.eu/vo/view/voname/biomed biomed]
| [https://appdb.egi.eu/store/site/bifi BIFI], [https://appdb.egi.eu/store/site/cesnet-metacloud CESNET-MetaCloud], [https://appdb.egi.eu/store/site/prisma-infn-bari PRISMA-INFN-BARI]
| [[FedCloudBIOSTIF|Wiki page]]
|-
| [http://www.catania-science-gateways.it Catania Science Gateway Framework]  
| [http://www.catania-science-gateways.it Catania Science Gateway Framework]  
| The Catania Science Gateway Framework (CSGF) has been developed by INFN, Division of Catania (Italy), to provide application developers with a tool to create Science Gateways in short time and in a very easy way. CSGF is made of a set of libraries to manage Authentication &amp; Authorization mechanisms and to interact with several different kinds of DCIs (grid, cloud, HPC, local, etc.). The CSGT would like to use the EGI Federated Cloud to develop a new CSGF plugin implementing the service model SaaS exploiting OCCI. The use case is an interoperability test, implemented as a new Liferay portlet in CSGF, to make the portal capable of submitting applications to the EGI Federated Cloud, grids and HPC resources in a user-trasparent way.
| It is an high-level tool (SaaS model) providing application developers with a tool to create Science Gateways (SGs) in short time
| N/A
| N/A
| N/A
| [[Fedcloud-tf:How to use the Catania Science Gateway Framework as Application Broker|Wiki page]]
|-
| [http://www.chain-project.eu/ CHAIN-REDS]
| [http://www.r-project.org/ R]: it is a free software environment for statistical computing and graphics. visualisation of spatio-temporal data.
| Natural sciences
Mathematics Statistics and probability
 
| [http://operations-portal.egi.eu/vo/view/voname/vo.chain-project.eu vo.chain-project.eu]
| [https://appdb.egi.eu/store/site/cesnet-metacloud CESNET-MetaCloud], [https://appdb.egi.eu/store/site/infn-catania-nebula INFN-CATANIA-NEBULA], [https://appdb.egi.eu/store/site/infn-catania-stack INFN-CATANIA-STACK], [https://appdb.egi.eu/store/site/prisma-infn-bari PRISMA-INFN-BARI]
| [[FedCloudChainR|Wiki page]]
|-
| [http://www.chain-project.eu/ CHAIN-REDS]
| [https://www.gnu.org/software/octave/ Octave]: it is a high-level interpreted language, primarily intended for numerical computations. It provides capabilities for the numerical solution of linear and nonlinear problems, and for performing other numerical experiments. It also provides extensive graphics capabilities for data visualization and manipulation.
| Natural sciences
Mathematics Statistics and probability
 
| [http://operations-portal.egi.eu/vo/view/voname/vo.chain-project.eu vo.chain-project.eu]
| [https://appdb.egi.eu/store/site/cesnet-metacloud CESNET-MetaCloud], [https://appdb.egi.eu/store/site/infn-catania-nebula INFN-CATANIA-NEBULA], [https://appdb.egi.eu/store/site/infn-catania-stack INFN-CATANIA-STACK], [https://appdb.egi.eu/store/site/prisma-infn-bari PRISMA-INFN-BARI]
| [[FedCloudChainOctave|Wiki page]]
|-
| [http://www.chain-project.eu/ CHAIN-REDS]
| tthreader
| Natural sciences
Biological sciences<br> Bioinformatics
| [http://operations-portal.egi.eu/vo/view/voname/vo.chain-project.eu vo.chain-project.eu]
| [https://appdb.egi.eu/store/site/cesnet-metacloud CESNET-MetaCloud], [https://appdb.egi.eu/store/site/infn-catania-nebula INFN-CATANIA-NEBULA], [https://appdb.egi.eu/store/site/infn-catania-stack INFN-CATANIA-STACK], [https://appdb.egi.eu/store/site/prisma-infn-bari PRISMA-INFN-BARI]
| [[FedCloudChainTTHREADER|Wiki page]]
|-
| [http://www.sysmed.uni-wuerzburg.de/ CUSM, Würzburg University]
| [http://pythonhosted.org/READemption/ READemption]: RNA-seq. analysis of data to understand different biological features and behaviour.
| Natural sciences
Biological sciences Bioinformatics
 
| [http://operations-portal.egi.eu/vo/view/voname/highthroughputseq.egi.eu highthroughputseq.egi.eu]
| [https://appdb.egi.eu/store/site/goegrid GoeGrid], [https://appdb.egi.eu/store/site/ifca-lcg2 IFCA]
| [[FedCloudRNASeq|Wiki page]]
|-
| [https://www.csc.fi/ CSC] / [http://www.elixir-europe.org/ ELIXIR]
| [http://chipster.csc.fi/ Chipster]: it is a user-friendly analysis software for high-throughput data. It contains over 300 analysis tools for next generation sequencing (NGS), microarray, proteomics and sequence data
| Natural sciences
Biological sciences Bioinformatics
 
| [http://operations-portal.egi.eu/vo/view/voname/chipster.csc.fi chipster.csc.fi]
| [https://appdb.egi.eu/store/site/prisma-infn-bari PRISMA-INFN-BARI]
| [[FedCloudChipster|Wiki page]]
|-
| [http://diracgrid.org DIRAC]
| VMDIRAC is a DIRAC extension to integrate Federated Clouds in a transparent manner to the user.  
| N/A
| N/A
| N/A
| [[FedCloudDIRAC|Wiki page]]
 
|-
| [http://www.drihm.eu/ DRIHM]
| Run Hydrology and Hydraulic models on the cloud
| Natural sciences
Earth sciences Hydrology
 
| [http://operations-portal.egi.eu/vo/view/voname/drihm.eu drihm.eu]
| [https://appdb.egi.eu/store/site/prisma-infn-bari PRISMA-INFN-BARI]
| [[FedCloudDRIHM|Wiki page]]
 
|-
| [http://www.elixir-europe.org/ ELIXIR]
| Access to EGI Cloud Marketplace via EBI IdP
| Natural sciences
Biological sciences Bioinformatics
 
| N/A
| N/A
| [[FedCloudElixirAppDB|Wiki page]]
|-
| [http://www.ifca.es/ IFCA]
| [http://cmsopendata.ifca.es/ CMS Open Data Portal]: it is a virtual environment that allows the execution for educational purposes of CMS 2010 software to analyze the Open Data available at CERN Open Data portal.
| Natural sciences
Physical sciences High energy physics
 
| [http://operations-portal.egi.eu/vo/view/voname/cms cms]
| [https://appdb.egi.eu/store/site/ifca-lcg2 IFCA]
| [[FedCloudIFCACMSOpenDataPortal|Wiki page]]
|-
| [http://www.peachnote.com Peachnote]
| OCR analysis in music scores
| Humanities
Arts Musicology
 
| [http://operations-portal.egi.eu/vo/view/voname/peachnote.com peachnote.com]
| [https://appdb.egi.eu/store/site/cesnet-metacloud CESNET-MetaCloud], [https://appdb.egi.eu/store/site/fzj FZJ]
| [[FedCloudPeachnote|Wiki page]]
|}
 
== Use Cases under development  ==
 
The following table shows the use cases from assessed to pre-production status phases.
 
{| cellspacing="0" cellpadding="10" border="1" class="wikitable sortable"
|-
! Community
! class="unsortable" | Description
! Registration date
! [http://wiki.egi.eu/wiki/VT_Scientific_Discipline_Classification Scientific discipline]
! Status
! class="unsortable" | Further information
|-
| [http://edu.univ-amu.fr/en Aix Marseille Universite]
| [http://rsat.ulb.ac.be/ RSAT] (Regulatory Sequence Analysis Tools): it provides a series of modular computer programs specifically designed for the detection of regulatory signals in non-coding sequences.
| 2014.10.08
| Natural sciences
Biological sciences Other
 
| Preparatory
| [[FedCloudRSAT|Wiki page]]
|-
| [https://bils.se/ BILS]
| [https://portal.bils.se/ BILS portal]: front-end to biological tools for not IT skilled users.
| 2014.10.31
| Natural sciences
Biological sciences
 
| Preparatory
| [[FedCloudBILSPortal|Wiki page]]
|-
| [https://bils.se/ BILS]
| [http://c2.pcons.net/ PConsC2]: tools for protein structure prediction.
| 2014.10.31
| Natural sciences
Biological sciences
Bioinformatics
| Test & Integration
| [[FedCloudBILSPConsC2|Wiki page]]
|-
| [https://bils.se/ BILS]
| Genome Annotation service: genome brower to run genome annotation pipeline.
| 2014.10.31
| Natural sciences
Biological sciences
Bioinformatics
| Preparatory
| [[FedCloudBILSGenomeAnnotation|Wiki page]]
|-
| [https://bils.se/ BILS]
| TOPCons2: Membrane topology prediction web-server.
| 2014.10.31
| Natural sciences
Biological sciences
Bioinformatics
| Test & Integration
| [[FedCloudBILSTOPCons2|Wiki page]]
|-
| [http://www.biovel.eu/ BioVeL]
| [https://wiki.biovel.eu/display/doc/EDIT+Name+Catalogue EDIT]: it is a portal to access/visualize Catalogue of Life taxonomy data
| 2013
| Natural sciences
Biological sciences Biodiversity conservation
 
| Assessed
| [[FedCloudEdit|Wiki page]]
|-
| [http://www.bsimsquare.com/ BSIM2]
| Proof of Concept and optimization of data workflow
| 2014.04.12
| Natural sciences
Biological sciences
 
| Assessed
| [[FedCloudBSIM2|Wiki page]]
|-
| [http://atlas.ch/ CERN ATLAS]
| Run a cluster on-demand on the cloud to absorb peaks from ATLAS grid.
| 2013
| Natural sciences
Phisical sciences High energy physics
 
| Test &amp; Integration
| [[FedCloudAtlasSlipstream|Wiki page]]
|-
| [http://atlas.ch/ CERN ATLAS]
| Run ATLAS jobs on the EGI FedCloud through Vac/Vcycle
| 2014.10.15
| Natural sciences
Phisical sciences<br> High energy physics
 
| Pre-production
| [[FedCloudAtlasVCycle|Wiki page]]
|-
| [http://atlas.ch/ CERN CMS]
| Run CMS jobs on the EGI FedCloud through Vac/Vcycle
| 2014.12.17
| Natural sciences
Phisical sciences<br> High energy physics
 
| Pre-production
| [[FedCloudCMSVCycle|Wiki page]]
|-
| [http://lhcb.web.cern.ch/lhcb/ CERN LHCb]
| Run LHCb jobs on the EGI FedCloud through Vac/Vcycle
| 2014.11.19
| Natural sciences
Phisical sciences<br> High energy physics
 
| Pre-production
| [[FedCloudLHCbVCycle|Wiki page]]
|-
| [http://cernatschool.web.cern.ch/ CERN@School]
| CERN@school is a programme that brings CERN into the classroom. The cernatschool.org VO would use the EGI Federated Cloud to give users in facilities without access to a research-grade IT infrastructure access to the tools they need for analysing and storing data collected by CERN@school projects using the Timepix hyrbid silicon pixel detectors.
| 2014.04.20
| Natural sciences
Phisical sciences<br> High energy physics
 
| Pre-production
| [[FedCloudCERNATSCHOOL|Wiki page]]
|-
| [http://www.chain-project.eu/ CHAIN-REDS]
| [http://www.wrf-model.org/index.php WRF] (weather research forecast): it is a next-generation mesoscale numerical weather prediction system designed to serve both atmospheric research and operational forecasting needs.
| 2013
| Natural sciences
Earth sciences Atmospheric science
 
| Test & Integration
| [[FedCloudChainWRF|Wiki page]]
<!--
|-
| [http://www.chain-project.eu/ CHAIN-REDS]
| [http://www.r-project.org/ R]: it is a free software environment for statistical computing and graphics.
| 2013
| Natural sciences
Mathematics Statistics and probability
 
| Pre-production
| [[FedCloudChainR|Wiki page]]
|-
| [http://www.chain-project.eu/ CHAIN-REDS]
| [https://www.gnu.org/software/octave/ Octave]: it is a high-level interpreted language, primarily intended for numerical computations. It provides capabilities for the numerical solution of linear and nonlinear problems, and for performing other numerical experiments. It also provides extensive graphics capabilities for data visualization and manipulation.
| 2013
| Natural sciences
Mathematics Applied mathematics
 
| Pre-production
| [[FedCloudChainOctave|Wiki page]]
-->
|-
| [http://www.chain-project.eu/ CHAIN-REDS]
| [http://aleph.web.cern.ch/aleph/ ALEPH]: it was a particle physics experiment installed on the Large Electron-Positron collider (LEP) at the CERN laboratory in Geneva/Switzerland.
| 2014.11.17
| Natural sciences
Phisical sciences<br> High energy physics
 
| Test & Integration
| [[FedCloudChainALEPH|Wiki page]]
<!--
|-
| [http://www.chain-project.eu/ CHAIN-REDS]
| tthreader
| 2015.01.15
| Natural sciences
Biological sciences<br> Bioinformatics
 
| Pre-production
| [[FedCloudChainTTHREADER|Wiki page]]
-->
|-
| [http://www.lf1.cuni.cz/en Charles University in Prague - First Faculty of Medicine]
| [http://www.physiovalues.org/ Physiome project]: Project of web application to compute, store and provide values of parameters of physiological models via lightweight API.
| 2014.05.29
| Medical and Health Sciences
Basic medicine Physiology
 
| Assessed
| [[FedCloudPhysiome|Wiki page]]
|-
| [http://www.clarin.eu CLARIN ERIC]
| Virtual Language Observatory.
| 2015.02.01
| Humanities
Languages and literature
Linguistics
| Assessed
| [[FedCloudCLARIN|Wiki page]]
|-
| [http://www.cnr.it CNR]
| Satellite Data.
| 2015.02.01
| Natural Sciences
Earth Sciences
Physical geography
| Assessed
| [[FedCloudCNR-SatelliteData|Wiki page]]
|-
| [http://www.cnr.it CNR] / [http://www.eng.it/home/home-eng.dot Engineering]
| D4Science/i-Marine.
| 2015.03.01
| Natural Sciences
Biological Sciences
Ecology
| Assessed
| [[FedCloudCNR-D4Science|Wiki page]]
<!--
|-
| [https://www.csc.fi/ CSC] / [http://www.elixir-europe.org/ ELIXIR]
| [http://chipster.csc.fi/ Chipster]: it is a user-friendly analysis software for high-throughput data. It contains over 300 analysis tools for next generation sequencing (NGS), microarray, proteomics and sequence data
| 2014.08.01
| Natural sciences
Biological sciences Bioinformatics
 
| Test &amp; Integration
| [[FedCloudChipster|Wiki page]]
-->
|-
| [https://curoverse.com/ Curoverse]
| [https://curoverse.com/technology Arvados]: integrate Arvados platform in the EGI Federated Cloud
| 2014.08.01
| Natural sciences
Biological sciences
Bioinformatics
| Test &amp; Integration
| [[FedCloudArvados|Wiki page]]
|-
| [http://www.dch-rp.eu/ DCH-RP] / [http://www.eng.it/home/home-eng.dot Engineering]
| Deploy [http://int-platform.digitalpreserve.info/dashboard/happi-toolkit/ SCIDIP-ES HAPPI Toolkit] in the EGI Federated Cloud for the DCH-RP community. The HAPPI toolkit supports the archive manager and curator to capture and manage part of the Preservation Descriptive Information (PDI).
| 2014.07.08
| Support activities
Digital archives
 
| Pre-production
| [[FedCloudHAPPI|Wiki page]]
|-
| [http://www.dch-rp.eu/ DCH-RP]
| Long term preservation in the cloud
| 2014.03.12
| Support activities
Digital archivies
 
| Preparatory
| [[FedCloudDCHRP|Wiki page]]
|-
| [http://www.ugr.es/~fteorica/ Departamento de física teórica y del cosmos, Universidad de Granada]
| [https://www.auger.org/ Auger]: running CORSIKA and OFFLINE in the EGI Federated Cloud.
| 2015.03.03
| Natural sciences
Physical sciences
Astroparticle physics
| Pre-production
| [[FedCloudAUGER|Wiki page]]
<!--
|-
| [http://www.drihm.eu/ DRIHM]
| Run Hydrology and Hydraulic models on the cloud
| 2014.06.18
| Natural sciences
Earth sciences Hydrology
 
| Test &amp; Integration
| [[FedCloudDRIHM|Wiki page]]
-->
|-
| [http://www.epos-eu.org/ EPOS]
| Download datasets from TCSs through ICS.
| 2015.03.01
| Natural Sciences
Earth Sciences
| Assessed
| [[FedCloudEPOS-AAI|Wiki page]]
|-
| [http://www.epos-eu.org/ EPOS]
| MISFIT/VERCE application.
| 2015.03.01
| Natural Sciences
Earth Sciences
Volcanology
| Assessed
| [[FedCloudEPOS-MISFIT|Wiki page]]
|-
| [http://www.esa.int/ESA ESA]
| Stimulus Project.
| 2015.04.27
| Natural Sciences
Physical Sciences
Space Sciences
| Assessed
| [[FedCloudESA-Stimulus|Wiki page]]
|-
| [http://www.harness-project.eu/ HARNESS]
| The HARNESS project is developing a new generation of cloud computing platforms that integrate heterogeneous hardware resources to provide vastly increased performance with reduced energy consumption and lower cost. HARNESS would like to organise training events using FedCloud resources
| 2014.10.06
| Natural sciences
Computer sciences Distributed Computing
 
| Assessed
| [[FedCloudHarnessTraining|Wiki page]]
|-
| [http://www.harness-project.eu/ HARNESS]
| The HARNESS project developed a PaaS to better exploit cloud resources. Aim of this use case is deploying the HARNESS PaaS on the EGI Federated Cloud to make it available for EGI users.
| 2014.10.06
| Natural sciences
Computer sciences Distributed Computing
 
| Assessed
| [[FedCloudHarnessPaaS|Wiki page]]
|-
| [http://www.ifca.es/ IFCA]
| Hydrodynamic modeling using EGI FedCloud
| 2014.09.25
| Natural sciences
Earth sciences Hydrology
 
| Test &amp; Integration
| [[FedCloudIFCAHydrodynamic|Wiki page]]
|-
| [http://www.ifca.es/ IFCA]
| Water Quality modeling using EGI FedCloud
| 2014.11.06
| Natural sciences
Biological sciences Ecology
 
| Test &amp; Integration
| [[FedCloudIFCAWaterQuality|Wiki page]]
<!--
|-
| [http://www.ifca.es/ IFCA]
| [http://cmsopendata.ifca.es/ CMS Open Data Portal]: it is a virtual environment that allows the execution for educational purposes of CMS 2010 software to analyze the Open Data available at CERN Open Data portal.
| 2014.11.20
| Natural sciences
Physical sciences High energy physics
 
| Test &amp; Integration
| [[FedCloudIFCACMSOpenDataPortal|Wiki page]]
-->
|-
| [http://www.ifca.es/ IFCA]
| [https://trufa.ifca.es/ TRUFA] (Transcriptomes User-Friendly Analysis): it is a free webserver designed to perform RNA-seq analysis.
| 2014.08.01
| Natural sciences
Biological sciences Evolutionary biology
 
| Assessed
| [[FedCloudTRUFA|Wiki page]]
|-
| [http://www.inertia-project.eu INERTIA] / [http://www.eng.it/home/home-eng.dot Engineering]
| The [http://www.inertia-project.eu/inertia/ INERTIA project] addresses the "structural inertia" of existing Distribution Grids by introducing more active elements combined with the necessary control and distributed coordination mechanisms. To this end INERTIA will adopt the Internet of Things/Services principles to the Distribution Grid Control Operations.
| 2014.09.01
| Engineering and technology
Environmental engineering<BR> Energy and fuels
 
| Pre-production
| [[FedCloudINERTIA|Wiki page]]
|-
| [http://www.iaa.es/ Instituto de Astrofísica de Andalucía]
| Calibration, Analysis and Modelling of Radio-Astronomy Data: Data Development of a calibration pipeline for LOFAR data
| 2014.10.06
| Natural sciences
Phisical sciences Astronomy
 
| Test &amp; Integration
| [[FedCloudLOFAR|Wiki page]]
|-
| [http://www.iaa.es/ Instituto de Astrofísica de Andalucía]
| Calibration, Analysis and Modelling of Radio-Astronomy Data: Modelling of the kinematic of galaxies (GIPSY)
| 2014.10.06
| Natural sciences
Phisical sciences Astronomy
 
| Test &amp; Integration
| [[FedCloudGIPSY|Wiki page]]
|-
| [http://www.knmi.nl/index_en.html KNMI]
| CLIPCE.
| 2015.02.01
| Natural sciences
Earth sciences
Climate research
| Preparatory
| [[FedCloudCLIPCE|Wiki page]]
|-
| [http://www.verce.eu/ VERCE]
| Deploy a service that utilizes Cloud resources to offer simplified execution of data pre- and post-processing scripts. It offers users access to the [https://github.com/obspy/obspy/wiki ObsPy] seismological toolbox for processing data with the Python programming language, executed on virtual Cloud resources in a secured sandbox.
| 2013
| Natural sciences
Earth sciences Seismology
 
| Preparatory
| [[FedCloudVERCE|Wiki page]]
|}
 
<!-- Use cases in pre-assessment - not public yet
|-
| [http://carelliance.com/ Carelliance]
| Carelliance is offering a managed service using Arvados platform to healthcare and bioinformatics customers in the Netherlands. They wants to run this service in the FedCloud
| 2014.07.28
|
| Pre-assessment
| [[FedCloudCarelliance]]
--> <!--
|-
| (initial suggestion made from Konrad (READemption), also ELIXIR mentioned it)
| [http://cloudbiolinux.org/ CloudBioLinux]
|
|
| Pre-assessment
|
--> <!--
|-
| Ciops/Terradue
| Analyse datasets on VM
|
|
| Pre-assessment
|
--> <!--
|-
| [http://www.lifewatch.eu/ LifeWatch]
| eLaboratory for Biodiversity based on VMI
|
|
| Pre-assessment
|
--> <!--
|-
| [http://verce.eu/ VERCE]
| Submitting VERCE Jobs through DCI-Bridge of gUse/SCI-BUS
|
|
| Pre-assessment
| [[FedCloudVERCE]]
--> <!--
{| cellspacing="0" cellpadding="10" border="1" class="wikitable sortable"
|-
! Project or Application
! class="unsortable" | Description
! class="unsortable" | Further information
|-
| [http://www.biovel.eu/ BioVeL]
| The BioVel project provides workflows for the processing of data in major areas of biodiversity research: ecological niche modelling, ecosystem functioning, and taxonomy. The community wants to explore how critical assets such as the BioVeL Portal, and web-services like OpenModeller, BioSTIF and OpenRefine can be sustained in the EGI Federated Cloud.
|
|-
| [http://www.bsimsquare.com/ BSIM2]
| BSIM2’s mission is to boost the discovery and optimisation of new drug candidates, led by efficient computational methodologies and workflows. This startup company is exploring a set of Proof's of Concept on the EGI Federated Cloud: molecular dynamics simulations, chemoinformatics applications & workflows, and 3rd party licensed software for windows/linux are the key topics.
| [[FedCloudBSIM2]]
|-
| [http://chipster.csc.fi/ Chipster]
| Chipster is a user-friendly analysis software for high-throughput data. It contains over 300 analysis tools for next generation sequencing (NGS), microarray, proteomics and sequence data. The goal is to deploy Chipster on the Cloud Federation.
| [[FedCloudChipster]]
|-
| [http://www.dch-rp.eu/ DCH-RP]
| Digital Cultural Heritage Roadmap for Preservation (DCH-RP) coordination action aims to look at best practices for preservation standards. The use case wants to run a set of data preservation services at the EGI Federated Cloud.
|
|-
| [http://www.drihm.eu/ DRHIM]
| This community aims to predict, manage and mitigate the risks associated to extreme weather phenomena. A set of hydrological models are to be explored using EGI Cloud Federation.
| [[FedCloudDRIHM]]
|-
| [http://envri.eu ENVRI]
| The ENVRI  aims in developing common capabilities including software and services of the environmental and e-infrastructure communities. A set of use cases are being tackled in the Cloud Federation, namely the hosting of data access and dissemination exploring the SaaS model, and data processing via IaaS model.
| [[EGI_ENVRI]]
|-
| [http://www.inertia-project.eu/inertia/ INERTIA]
| INERTIA project addresses the "structural inertia" of existing Distribution Grids by introducing more active elements combined with the necessary control and distributed coordination mechanisms. To this end INERTIA will adopt the Internet of Things/Services principles to the Distribution Grid Control Operations. A set of use cases will be explored inside the Federated Cloud.
| [[FedCloudINERTIA]]
|-
| [http://www.peachnote.com Peachnote]
| Peachnote.com  is a music score search engine and analysis platform. The system is the first of its kind and can be thought as an analog of Google Books Ngram Viewer and Google Books search for music scores.
| [[FedCloudPeachnote]]
|-
| [http://www.physiovalues.org Physiome]
| Project of web application to compute, store and provide values of parameters of physiological models via lightweight API. The goal is to run on the EGI Federated Cloud a system to support modelling of physiological systems in the phase of calibrating model parameters and in the phase of simulating different scenarios.
| [[FedCloudPhysiome]]
|-
| [https://trufa.ifca.es/web TRUFA]
| TRUFA (Transcriptomes User-Friendly Analysis) is a webserver designed to help researchers in genomics to perform de novo RNA-seq analysis. The goal is to exploit Cloud Federation resources from the TRUFA portal.
| [[FedCloudTRUFA]]
|-
|-
| [http://envri.eu ENVRI]  
| [http://verce.eu/ VERCE]
| ENVRI target is on developing common capabilities including software and services of the environmental and e-infrastructure communities. While the ENVRI infrastructures are very diverse, they face common challenges including data capture from distributed sensors, metadata standardization, management of high volume data, workflow execution and data visualization. The common standards, deployable services and tools developed will be adopted by each infrastructure as it progresses through its construction phase.
| VERCE supports earthquake and seismology research, which ultimately addresses fundamental problems in understanding the Earth's internal wave sources and properties, thereby aiding society in the management of natural hazards, energy resources, environmental changes, and national security. VERCE wants to evaluate the EGI Federated Cloud capabilities for data analysis and post-processing.
| [[FedCloudVERCE]]
|}
|}
-->
== Closed Use Cases  ==
The following table shows the use cases in Closed status phase. These use cases are related to the communities that tested the EGI Federated Cloud but that are not decided yet to use it for production aims. Use cases related to the adoption of EGI Federated Cloud services by other communities are also inserted in this table. An outcome for each use case is available.
{| cellspacing="0" cellpadding="10" border="1" class="wikitable sortable"
|-
! Community
! class="unsortable" | Description
! class="unsortable" | [http://wiki.egi.eu/wiki/VT_Scientific_Discipline_Classification Scientific discipline]
! class="unsortable" | Outcome
! class="unsortable" | Further information <!--
|-
| [http://clarin.eu/ CLARIN]
| BNCWeb: scalable ‘British National Corpus’ service
| Humanities
Languages and literature
Linguistics
|
| [[FedCloudBNCweb| Wiki page]]
|-
| [http://www.cranfield.ac.uk/ Cranfield University]
| Exploit the FedCloud capabilities to study resource allocation and scheduling algorithms for federated cloud systems
| Natural sciences
Computer sciences
Distributed computing
|
| [[FedCloudCranfield| Wiki page]]
-->
|-
| [http://www.elixir-europe.org/ ELIXIR]
| Access to EGI Cloud Marketplace via EBI IdP
| Natural sciences
Biological sciences Bioinformatics
| The [https://appdb.egi.eu/ EGI AppDB] authentication system has been extended to support the [https://idp.ebi.ac.uk/idp/Authn/UserPassword Elixir/EBI’s Identity Provider].
| [[FedCloudElixirAppDB|Wiki page]]
|-
| [http://envri.eu/ ENVRI]
| Data access, catalog and dissemination (EISCAT 3D)
| Natural sciences
Phisical sciences Space science


This table provides a summary of the use cases that are already benefiting from the EGI Federated Cloud, and whose recommendations and feedback helps EGI finalise the services of the Federated cloud platform.  
| In this proof-of-concept the [http://sourceforge.net/projects/osgcat/ OSGC] software was deployed on the EGI Federated Cloud. OSGC is an Open Source implementation of an OpenSearch GeoSpatial Catalogue compliant to OGC 10-32r3 specification, developed by EGI.eu (http://www.egi.eu/) under the ENVRI (http://envri.eu/) project.
| [[EGI ENVRI|Wiki page]]
|-
| [http://www.esa.int/ ESA]
| SSEP Data processing
| Natural sciences
| In the context of the [http://www.helix-nebula.eu/ Helix Nebula] initiative, the European Space Agency organized a Proof of Concept using EGI Federated Cloud resources. The pilot proved the possibility to support the [https://wiki.services.eoportal.org/tiki-index.php?page=SSEP SuperSites Exploitation Platform] flagship using academic resources, such as the one provided by the EGI federated cloud. An instance of the SSEP processing cluster has been instantiated into the EGI Federated cloud, on several EGI sites, connected with the SSEP processing platform and used to run test earthquakes monitoring related processing (such as [http://www.irea.cnr.it/index.php?option=com_k2&view=item&id=97:sbas&Itemid=127 SBAS] and [http://www.gamma-rs.ch/software/ipta-interferometric-point-target-analysis Gamma IPTA] processing). [http://sixsq.com/products/slipstream.html SlipStream] was adopted as Infrastructure broker.
| [[FedCloudESAPoC|Wiki page]]
|-
| [http://www.uni-jena.de Jena University]
| JAMS (Jena Adaptable Modelling System): run JAMS in the FedCloud
| Natural sciences
Earth sciences Hydrology


{| cellspacing="5" cellpadding="5" border="0" class="wikitable"
| Aim of this proof-of-concept was the evaluation of the EGI Federated Cloud as alternative to the community computing resources to execute JAMS computation. The community already owns enough computing resources for their current needs but its workload should increase in a near future. The community was able to execute standard JAMS simulation in the EGI Federated Cloud without major issue.
| [[FedCloudJAMSPoC|Wiki page]]
|-
|-
| '''Project and/or application'''
| [http://wenmr.eu/ WeNMR]
| '''Description of the use case'''
| Validating and improving biomolecular NMR structures
| '''Further information'''
| Natural sciences
| '''Contacts'''
Biological sciences Structural biology
 
| Proof of concept demonstrating the validation and improvement of biomolecular NMR structures using VirtualCing, a Virtual Machine equipped with a complex suite of ~25 programs. It was demonstrated at the Cloudscape V Workshop held in February 2013 and at the EGI CF 2013 held in April (see [https://documents.egi.eu/public/ShowDocument?docid=1593 demostrations of VCing over the EGI Federated Cloud])
| [[FedCloudWeNMR|Wiki page]]
|}
<!--
{| cellspacing="0" cellpadding="10" border="1" class="wikitable sortable"
|-
|-
| WeNMR
! Project or Application
| '''Use case 1''': using VMs prepared with Gromacs and some other software to run MD simulations for educational purpose, possibly on multi-core VMs. <br><br>'''Use case 2''': validating and improving biomolecular NMR structures using VirtualCing, a VM equipped with a complex suite of ~25 programs. A presentation of the current deployment at the Dutch National HPC Cloud is available [http://www.sara.nl/sites/default/files/Jurgen_Doreleijers_HPC_Cloud_Day_20111004_2.pdf here], and recently a paper has been published [http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3245154/?tool=pmcentrez here]. The cloud usage framework is based on a pilot job mechanism making use of the [https://grid.sara.nl/wiki/index.php/Using_the_Grid/ToPoS ToPoS] tool. Therefore, such a framework would naturally allow for execution of VirtualCing tasks across multiple cloud providers. Do notice that the framework is independent on the cloud access interface: it would work also with simple grid jobs, as far as the user-defined (or VO manager defined) VirtualCing VM is available at the grid site e.g. in a SE (or in the VO software area mounted by the WNs) and the grid job is allowed to start the VM. Technical details about its current implementation are available [http://code.google.com/p/cing/w/list here]. A live [http://prezi.com/hrzwekguwfkx/virtualcing-cloud-demo-on-wnodes/ demonstration] about the deployment and use of VirtualCing on the WNoDeS testbed of the INFN-CNAF computing centre has been shown at the EGI TF 2012 held in September.
! class="unsortable" | Description
| [[FedCloudWeNMR]]
! class="unsortable" | Further information
| Marco Verlato (marco.verlato@pd.infn.it), Alexandre Bonvin (a.m.j.j.bonvin@uu.nl)
|-
|-
| Peachnote
| [http://www.catania-science-gateways.it Catania Science Gateway Framework]
| '''Use case 1''': the ability to upload and start a prepared VMware VM. The VM only has to be able to make outbound connections: to Amazon's SQS for job info, to HBase cluster to retrieve and store data, and to the peachnote server to regularly update the workflow code. No inbound connections are needed, which hopefully means less administrative and security concerns.<br><br>'''Use case 2''': the ability to run a small Hadoop and HBase cluster in the cloud. Being able to spin a HBase cluster using Apache Whirr on the EGI cloud infrastructure would be perfect, but a custom deployment would be a great first step.  
| The Catania Science Gateway Framework (CSGF) provides application developers with a tool to create Science Gateways. CSGF is able to manage AuthN/AuthZ and to interact with different DCIs (grid, cloud, HPC, local, etc.). The CSGF use case exploits EGI Cloud capabilities through via a SaaS service model. Furthermore, the CSGF can orchestrate the cloud services through their OCCI-compliant and rOCCI-enabled interfaces acting as infrastructure broker.
| [[FedCloudPeachnote]]
|
| Gergely Sipos (gergely.sipos@egi.eu), Vladimir Viro (vladimir@viro.name)
|-
|-
| WS-PGRADE
| [http://bncweb.info/ BNCWeb]
| '''The problem:''' the testing and debugging of new releases of WS-PGRADE and gUSE is a significant challenge for the developer team. The DCIs underpinning WS-PGRADE/gUSE are in a constant evolution and change, planned and unplanned downtimes within them are frequent. These disturbances make WS-PGRADE/gUSE test scenarios hard, often impossible to repeat, causing significant overhead on planning, developing and executing test cases. <br><br>'''The envisaged solution:''' the WS-PGRADE developer team is seeking for a solution that provides stable DCIs for the testing team in order to run pre-defined test scenarios in a repeatable way. The DCIs participating in these test are envisaged as small scale environments built from virtual images predefined and validated for WS-PGRADE tests. The environments should replicate the functional capabilities of large scale DCIs that are used by WS-PGRADE for production runs, but without the disturbances in availability and configuration. The WS-PGRADE team is interested in collaborating with the “Federated Clouds Task Force” of the European Grid Infrastructure in order to understand how the resources and skills from the task force and from EGI could be used to create and operate virtualised DCI infrastructures for WS-PGRADE tests. <br><br> '''Use case 1 (under preparation)''': <br>Biologists, chemists simulating molecular docking by the autodock software tool are potential users of this use case. This use case gives the ability to run a small BOINC based desktop grid infrastructure as a DCI and to submit a pre-defined application (called autodock) to this DCI through the WS-PGRADE/gUSE portal as a (predefined) workflow. <br><br> '''Use case 2 (under preparation)''': <br> Any scientists requiring an on-demand, scalable computing infrastructure are potential users of this use case. This use case gives the ability to run a small BOINC based desktop grid infrastructure providing virtualisation support (GBAC) on the computational resource (BOINC client). Therefore, it allows executing applications (batch-mode) without the need of being ported to different operating system platforms, due to the minimal linux OS used as the virtualised environment. Scalability can be improved by attaching external (non-cloud) resources to the desktop grid server. <br><br> '''Use case 3 (under design)''': <br> Any scientists requiring an on-demand, scalable computing infrastructure are potential users of this use case. This use case gives the ability to run a small BOINC based desktop grid infrastructure providing virtualisation support on the computational resource (BOINC client). The job submission interface in this scenario is the WS-PGRADE/gUSE system where compound applications (i.e. workflows) can be easily built and executed on the BOINC based desktop grid DCI. The submitted jobs of the workflow are executed on minimal linux OS used as the virtualised environment. Scalability can be improved by attaching external (non-cloud) resources to the desktop grid server.
| BNCWeb is an interface to the British National Corpus, being a key reference work in English studies, linguistics and language teaching and is widely used in a wide variety of computational linguistic applications. The use case aims to offer BNCWeb services via EGI FedCloud.
| [[FedCloudWSPGRADE]]  
| [[FedCloudBNCweb]]
| Gergely Sipos (gergely.sipos@egi.eu), Peter Kotcauer (peter.kotcauer@sztaki.mta.hu) <!--
|-
|-
| GAIA-Space
| [https://www.wenmr.eu WeNMR]
| WeNMR community provides the user community with a platform integrating and streamlining the computational approaches necessary for NMR/SAXS data analysis and structural modelling. A set of use cases aim to explore cloud resources to run molecular dynamics simulations for educational purpose, and to port VirtualCing suite of program to the cloud.
| [[FedCloudWeNMR]]
|-
| [http://www.cranfield.ac.uk/ Cranfield University]
| One of the gosal of this use case is to evaluate the EGI Federated Cloud in order to organise hands-on training for students. Another topic of interest is the exploitation of the Federated Cloud capabilities for resource allocation and scheduling algorithms for federated cloud systems.
| [[FedCloudCranfield]]
|-
| [http://diracgrid.org DIRAC]
| The DIRAC interware project provides a framework for building ready to use distributed computing systems. Regarding cloud resources, DIRAC is currently integrated with Amazon EC2, OpenNebula, OpenStack and CloudStack. DIRAC wants to explore Iaas cloud model for Monte Carlo simulations, and to explore VMDIRAC as portal for VM scheduler, with third party job broker.
| [[FedCloudDIRAC]]
|-
| [http://www.esa.int/ESA European Space Agency]
| In the context of the [http://www.helix-nebula.eu/ Helix Nebula] initiative, the European Space Agency organized a Proof of Concept using EGI Federated Cloud resources. The objective is to prove the interoperability between commercial (Helix Nebula) and academic (EGI Federated Cloud) cloud providers and to prove the possibility to provide processing services to scientists using the Federated Cloud IaaS system.
| [[FedCloudESAPoC]]
|-
| [http://www.ftk.de/ FTK]
| FTK – Research Institute for Telecommunication and Cooperation – consists of a team with broad and profound expertise in various fields such as consulting, research, information, innovation- and project management, event organisation and web development. FTK would like to evaluate the EGI Federated Cloud capabilities.
| [[FedCloudFTK]]
|-
| [http://jams.uni-jena.de/ JAMS]
| Jena Adaptable Modelling System (JAMS) is an java-based, open-source software platform that has been especially designed to address the demands of a process-based hydrological model development and various aspects of model application. The use case was to run JAMS on the EGI Federated Cloud.
| [[FedCloudJAMSPoC]]
|-
| [http://pythonhosted.org/READemption/ READemption]
| READemption is a pipeline for the computational evaluation of RNA-Seq data. The use case consists in running the analysis workflow on the EGI Cloud Federation.
| [[FedCloudRNASeq]]
|-
| [https://guse.sztaki.hu/liferay-portal-6.0.5/ WS-PGRADE]
| WS-PGRADE is a portal environment for the development, execution and monitoring of workflows and workflow based parameter studies on different Distributed Computing Infrastructures (DCI). WS-PGRADE wants to exploit the cloud for software testing and debugging.
| [[FedCloudWSPGRADE]]
|}
--> <!--
These entries are already included in one of the tables above: on going, or completed!
 
{|{{Egi-table}}
|-
! Project or Application
! Description
! Use Cases
! Further information
! Contacts
 
|}
|-
| [http://www.catania-science-gateways.it Catania Science Gateway Framework]
| The Catania Science Gateway Framework (CSGF) has been developed by INFN, Division of Catania (Italy), to provide application developers with a tool to create Science Gateways in short time and in a very easy way. CSGF is made of a set of libraries to manage Authentication & Authorization mechanisms and to interact with several different kinds of DCIs (grid, cloud, HPC, local, etc.). The CSGF exploits the EGI Federated Cloud capabilities through a new plugin implementing the service model SaaS exploiting OCCI. Furthermore, the CSGF can orchestrate the cloud services through their OCCI-compliant and rOCCI-enabled interfaces acting as infrastructure broker.
|  
|  
| https://wiki.egi.eu/wiki/FedCloudGAIASPACE
* Use Case 1: the use case is an interoperability test, implemented as a new Liferay portlet in CSGF, to make the portal capable of submitting applications to the EGI Federated Cloud, grids and HPC resources in a user-trasparent way. The portlet includes a set of VMs, each pre-configured with some test applications and provides an application specific SaaS environment built on grids and IaaS clouds. Users will see cloud sites are resources that are available to execute applications without worrying about technical matters. The CSGF will select and start a VM to execute an application on behalf of user, according to application characteristics. The VM management issues will be completely managed by CSGF and will be hidden from end users.
| -->
* Use Case 2: the second use case aims to show how the cloud-tenant of a real or virtual organisation can sign in on a Science Gateway using his/her federated credentials, select VMs from a geographically shared repository and deploy/move/copy it/them across the “personal virtual-cloud” he/she is entitled to use. The VMs should belong to the same domain name independently of the site where it/they are instantiated and of the underlying cloud middleware stack. This service is named MyCloud and uses the CLoud-Enabled Virtual EnviRonment  (CLEVER) to orchestrate the cloud services through their OCCI-compliant and rOCCI-enabled interfaces.
| [[FedCloudCSGF]]
|
* EGI: Nuno Ferreira (nuno.ferreira@egi.eu), Gergely Sipos (gergely.sipos@egi.eu), Diego Scardaci (diego.scardaci@egi.eu)
* INFN: Roberto Barbera (roberto.barbera@ct.infn.it), Giuseppe La Rocca (giuseppe.larocca@ct.infn.it)
 
 
|-
|-
| BNCWeb  
| [http://bncweb.info/ BNCWeb]
| '''Use case 1''': Researchers in linguistics and other disciplines, teachers, language learners, writers and computational linguists all around the world are potential users of BNCWeb, which is a basic reference resource for the English language. <br><br>'''Use case 2''': BNCWeb will be used as the main resource for teaching a masters course in 'Exploring English Usage' in October-November 2012, and 'Corpus Linguistics' in February-March 2013. Users will submit queries in interactive sessions with BNCWeb online. There will be usage peaks during the sessions. <br><br>'''Use case 3''': Federated search in the CLARIN European e-Infrastructure: a secure and highly available BNCWeb can be used to contribute English-languge resources to the ongoing project to build a Europe-wide demonstrator for federated search across archives and across access federation boundaries.<br><br>'''Use case 4''': Developers can build additional web services on top of BNCWeb, e.g. adding improved visualizations of the search results.  
| BNCWeb is an interface to the British National Corpus, a dataset of 100 million words, carefully sampled from a wide range of texts and conversations to provide a snapshot of British English in the late 20th century. This is a key reference work in English studies, linguistics and language teaching and is widely used in a wide variety of computational linguistic applications. BNCWeb offers powerful search and analysis functions for searching the text and exploiting the detailed textual metadata. It is an open source project, and the BNC is freely available for educational and research purposes.
| [[FedCloudBNCweb]]  
|
| <br>
* Use case: Running BNCWeb services on the EGI Federated Cloud.
| [[FedCloudBNCweb]]
|
* EGI: Gergely Sypos (gergely.sypos@egi.eu)
 
 
|-
|-
| DIRAC
| [http://www.biovel.eu/ BioVeL]
| '''Use Case 1''': Running LHCb simulations of Monte Carlo jobs using IaaS federated manner, for integration and scaling tests.(Finished)<br><br> '''Use Case 2''': VMDIRAC as portal for VM scheduler, with third party job broker.
| The BioVel project provides workflows for the processing of data in major areas of biodiversity research: ecological niche modelling, ecosystem functioning, and taxonomy.
In September 2013 a collaboration with the [https://wiki.egi.eu/wiki/FedCloudWeNMR/ EGI FedCloud WeNMR], project has started aiming at using the VMDIRAC portal as VM scheduler.
|
| [[FedCloudDIRAC]]  
* Use case 1: [https://wiki.biovel.eu/display/doc/Ecological+Niche+Modelling+%28ENM%29+Workflow OpenModeller web-service] in Europe (niche modelling). The Ecological Niche Modelling (ENM) Workflow takes as input a file containing species occurrence points to create a model with the openModeller Web Service. The EUBrazilOpenBio ENM service is exposed through an extended openModeller Web Service interface. Multi-staging and multi-parametric oM experiments are implemented through [http://www.bsc.es/computer-sciences/grid-computing/comp-superscalar COMPSs] that dynamically creates the virtual resources to execute the operations. An OCCI connector is used for the VMs management while data management supports CDMI endpoints.
| Gergely Sipos (gergely.sipos@egi.eu), <br>Victor Mendez (vmendez@pic.es)
* Use case 2: Sustain [https://wiki.biovel.eu/display/doc/BioSTIF+User+Manual; BioSTIF] web-service (data visualization). BioSTIF provides an easy GIS interface to vizualize and quality control biodiversity data in time and space.
* Use case 3: Portal to access/visualize Catalogue of Life taxonomy data (EDIT).
* Use case 4: [https://wiki.biovel.eu/display/doc/BioVeL+Google+Refine OpenRefine] (originally developed as [http://openrefine.org/ Google Refine]) is a framework for viewing and cleaning large amounts of messy data. It is used within BioVeL for taxonomic data to ensure data quality and integrity. The service integrates existing know-how of taxonomic data with existing functionality in Google Refine to develop BioVeL specific data cleaning tools.  
| [[FedCloudBioVel]]
|
* EGI: Nuno Ferreira (nuno.ferreira@egi.eu), Salvatore Pinto (salvatore.pinto@egi.eu)
* BioVel: Renato De Giovanni (renato@cria.org.br), Matthias Obst (matthias.obst@bioenv.gu.se), Giacinto Donvito (giacinto.donvito@ba.infn.it), Yulia Fetyukova (yuliya.fetyukova@uef.fi), Karl-Heinz Sylla (karl-heinz.sylla@iais.fraunhofer.de)
* EUBrazilOpenBio: Daniele Lezzi (daniele.lezzi@bsc.es)
 
 
|-
|-
| OpenModeller
| [http://www.bsimsquare.com/ BSIM2]
| [http://openmodeller.sourceforge.net/ OpenModeller] (oM) is a generic framework that includes various modelling algorithms and which is compatible with different data formats. Its functionality is available through command line, desktop and web services interfaces, allowing integration with other specialized services that could help for example finding input data for the modelling process. The [http://www.cria.org.br/ CRIA] institute in Brazil operates an oM server. The server implements the oM web service API and runs as a CGI application. This use case aims to setup and operate an instance of the web service in Europe using resources from the EGI Federated Cloud and from the EGI Service Availability Monitoring infrastructure. The instance would serve the Biodiversity Virtual e-Laboratory ([http://www.biovel.eu/ BioVel]) that supports research on biodiversity issues using large amounts of data from cross-disciplinary sources. [http://www.eubrazilopenbio.eu/ EUBrazilOpenBio] is a project aiming to deploy an open-access platform from the federation and integration of existing European and Brazilian infrastructures and resources. BioVeL and the FedCloud are exploring ways to re-use the already implemented oM service by EUBrazilOpenBio.  
| BSIM2’s mission is to boost the discovery and optimisation of new drug candidates, led by efficient computational methodologies and workflows.
| [[FedCloudOPENMODELLER]]  
|
| EGI: Nuno Ferreira (nuno.ferreira@egi.eu), <br>
* This startup company is exploring a set of Proof's of Concept on the EGI Federated Cloud: molecular dynamics simulations, chemoinformatics applications & workflows, and 3rd party licensed software for windows/linux are the key topics.
EUBrazilOpenBio: Daniele Lezzi (daniele.lezzi@bsc.es), <br> BioVel: Renato De Giovanni (renato@cria.org.br)  
| [[FedCloudBSIM2]]
|
* EGI: Nuno Ferreira (nuno.ferreira@egi.eu), Diego Scardaci (diego.scardaci@egi.eu)
* BSIM2: Bruno Victor (bruno.victor@bsimsquare.com)  
 


|-
|-
| Catania Science Gateway Framework
| [http://chipster.csc.fi/ Chipster]
| [http://www.catania-science-gateways.it Catania Science Gateway Framework (CSGF)] has been developed by INFN, Division of Catania (Italy), to provide application developers with a tool to create Science Gateways in short time and in a very easy way. CSGF is made of a set of libraries to manage Authentication &amp; Authorization mechanisms and to interact with several different kinds of DCIs (grid, cloud, HPC, local, etc.). The CSGF team would like to use the EGI Federated Cloud to develop a new CSGF plugin implementing the service model SaaS exploiting OCCI. The use case is an interoperability test, implemented as a new Liferay portlet in CSGF, to make the portal capable of submitting applications to the EGI Federated Cloud, grids and HPC resources in a user-trasparent way. The portlet would include a set of VMs, each pre-configured with some test applications and would provide an application specific SaaS environment built on grids and IaaS clouds. Users will see cloud sites are resources that are available to execute applications without worrying about technical matters. The CSGF will select and start a VM to execute an application on behalf of user, according to application characteristics. The VM management issues will be completely managed by CSGF and will be hidden from end users.  
| Chipster is a user-friendly analysis software for high-throughput data. It contains over 300 analysis tools for next generation sequencing (NGS), microarray, proteomics and sequence data. Chipster's client software uses Java Web Start to install itself automatically, and it connects to computing servers for the actual analysis. Chipster is open source and the server environment is available as a virtual machine image.
| [[FedCloudCSGF]]  
|
| EGI: Nuno Ferreira (nuno.ferreira@egi.eu),<br>
* Use Case 1: deploy Chipster on the EGI Federated Cloud.
Gergely Sipos (gergely.sipos@egi.eu) <br> INFN: Diego Scardaci (diego.scardaci@ct.infn.it)  
| [[FedCloudChipster]]
|
* EGI: Nuno Ferreira (nuno.ferreira@egi.eu), Diego Scardaci (diego.scardaci@egi.eu)
* Chipster team/CSC: Aleksi Kallio (chipster@csc.fi)  
 


|-
|-
| European Space Agency PoC
| [http://www.cranfield.ac.uk/ Cranfield University]
| In the context of the [http://helix-nebula.eu Helix Nebula] initiative, the European Space Agency organized a Proof of Concept using FedCloud resources. The objective is to prove the interoperability between commercial (Helix Nebula) and academic (EGI Federated Cloud) cloud providers and to prove the possibility to provide processing services to scientists using the Federated Cloud IaaS system. ESA target is volcano and earthquake monitoring in the context of the [http://ssep.eo.esa.int SuperSites Exploitation Platform project].  
| The principal investigator, Mark Stillwell, researches and teaches on issues in distributed computing, particularly cloud and grid computing. He would like to evaluate the EGI Federated Cloud and use it to organise hands-on training for students.
The PoC will deploy and test performances of a computing cluster, by running a set of processing jobs on it. The cluster will use the Globus Grid middleware and will be connected to the [http://gpod.eo.esa.int ESA Grid-Processing On Demand] system for job submission.  
Futhermore, he would like to exploit the EGI Federated Cloud capabilities to study resource allocation and scheduling algorithms for federated cloud systems.
|
* Use Case 1: hands-on training for students with the EGI Federated Cloud.
* Use Case 2: study resource allocation and scheduling algorithms for federated cloud systems.
| [[FedCloudCranfield]]
|
* EGI: Diego Scardaci (diego.scardaci@egi.eu)
* Cranfield University: Mark Stillwell (m.stillwell@cranfield.ac.uk)


| [[FedCloudESAPoC]]
| EGI: Salvatore Pinto (salvatore.pinto@egi.eu)<br>
ESA: G-POD Team (eo-gpod@esa.int)


|-
|-
| ENVRI
| [http://www.dch-rp.eu/ DCH-RP]
| In the context of the [http://envri.eu ENVRI] project, the EGI Federated Cloud will host data access and dissemination service on the Federated Cloud Storage as a Service and provide computing resources to ENVRI processing services via the EGI Federated Cloud IaaS service. The objective is to offer the to the ENVRI partners a reliable, flexible and easy to use system to perform data discovery and dissemination and to support computing services.
| DCH-RP Digital Cultural Heritage Roadmap for Preservation is a coordination action supported by EC FP7 e-Infrastructures Programme, launched to look at best practice for preservation standards in use. The project aim to harmonize data storage and preservation policies in the digital cultural heritage sector; to progress a dialogue and integration among institutions, e-Infrastructures, research and private organisations; to identy models for the governance, maintenance and sustainability of the integrated  infrastructure for digital preservation of cultural content. The DCH-RP project is willing to run data preservation services on the EGI Federated Cloud.
|
* Use Case 1: running the following data preservation services on the EGI Federated Cloud. (1) Preservation Aware Data Management: dropbox equivalent online storage for direct and dynamic data handling during information creation time, (2) OAIS Complaint Archive, (3) collaborative Task-based Search & Access: ElasticSearch Server for searching metadata, provenance, full-text, pictures and video and, (4) User Interface.
| [[FedCloudDCHRP]]
|
* EGI: Diego Scardaci (diego.scardaci@egi.eu), Salvatore Pinto (salvatore.pinto@egi.eu)
* FernUniversitat in Hagen: Dr. Claus-Peter Klas


| [[EGI_ENVRI]]  
 
| EGI: Malgorzata Krakowian (malgorzata.krakowian@egi.eu), Salvatore Pinto (salvatore.pinto@egi.eu)<br>
|-
ESA: Roberto Cossu<br>
| [http://diracgrid.org DIRAC interware for eScience communities]
CNR: Leonardo Candela
| The DIRAC interware project provides a framework for building ready to use distributed computing systems. It has been proven to be a useful tool for large international scientific collaborations integrating in a single system, their computing activities and distributed computing resources: Grids, Clouds and HTC clusters. In the case of Cloud resources, DIRAC is currently integrated with Amazon EC2, OpenNebula, OpenStack and CloudStack. The work integrates the resources provided by the multiple private clouds of the EGI Federated Cloud and additional WLCG resources, providing high-level scientific services on top of them by using the DIRAC framework.
|
* Use Case 1: running LHCb simulations of Monte Carlo jobs using IaaS federated manner, for integration and scaling tests.
* Use Case 2: VMDIRAC as portal for VM scheduler, with third party job broker.
| [[FedCloudDIRAC]]
|
* EGI: Gergely Sipos (gergely.sipos@egi.eu)
* DIRAC: Victor Mendez (vmendez@caos.uab.es)
 
 
|-
| DRHIM project
| Forecasting severe storms and floods is a key topic in HMR. Storms do not respect country boundaries so a pan-European approach to data access and modeling is necessary. The analysis carried out within the FLASH project estimated over 29 billion euros the material damages produced by floods in the Mediterranean region during the 1990-2006 period. The total number of casualties has been estimated over 4,500,
concentrating in the Mediterranean African countries especially.
These data challenge our current scientific understanding and call for focused and joint Hydro-Meteorological and ICT research to:
* understand, explain and predict the physical processes producing such extreme storms;
* understand the possible intensification of such events in the Mediterranean region and their physical origin;
* explore the potential available ICT infrastructures to provide deeper understanding of those events through fine resolution modeling over large areal extents.
These are the main DRHIM objectives.
|
* Use Case: running various hydrological models in the EGI Federated Cloud. Almost all these models need a Windows environment to be executed.
| [[FedCloudDRIHM]]
|
* EGI: Diego Scardaci (diego.scardaci@egi.eu)
* DRIHM/CNR-IMATI: Daniele D'Agostino (dagostino@ge.imati.cnr.it), Giacomo Paschina (giacomo.paschina@ge.imati.cnr.it)
 
|-
| [http://envri.eu ENVRI]
| The ENVRI  target is on developing common capabilities including software and services of the environmental and e-infrastructure communities. While the ENVRI infrastructures are very diverse, they face common challenges including data capture from distributed sensors, metadata standardization, management of high volume data, workflow execution and data visualization. The common standards, deployable services and tools developed will be adopted by each infrastructure as it progresses through its construction phase. In the context of the ENVRI project, the EGI Federated Cloud will host data access and dissemination service on the Federated Cloud Storage as a Service and provide computing resources to ENVRI processing services via the EGI Federated Cloud IaaS service. The objective is to offer to the ENVRI partners a reliable, flexible and easy to use system to perform data discovery and dissemination and to support computing services.
|
* Use Case 1: data access, catalog and dissemination ([https://www.eiscat3d.se/ EISCAT 3D]).
* Use Case 2: data processing (CNR-Pisa).
| [[EGI_ENVRI]]
|
* EGI: Malgorzata Krakowian (malgorzata.krakowian@egi.eu), Salvatore Pinto (salvatore.pinto@egi.eu)
* ESA: Roberto Cossu
* CNR: Leonardo Candela
 
 
 
|-
| [http://www.esa.int/ESA European Space Agency]
| In the context of the [http://www.helix-nebula.eu/ Helix Nebula] initiative, the European Space Agency organized a Proof of Concept using EGI Federated Cloud resources. The objective is to prove the interoperability between commercial (Helix Nebula) and academic (EGI Federated Cloud) cloud providers and to prove the possibility to provide processing services to scientists using the Federated Cloud IaaS system. ESA target is volcano and earthquake monitoring in the context of the [https://wiki.services.eoportal.org/tiki-index.php?page=SSEP SuperSites Exploitation Platform] project.
|
* Use Case : the proof of concept deploys and test performances of a computing cluster, by running a set of processing jobs on it. The cluster will use the Globus Grid middleware and will be connected to the [http://gpod.eo.esa.int ESA Grid-Processing On Demand] system for job submission.
| [[FedCloudESAPoC]]
|
* EGI: Salvatore Pinto (salvatore.pinto@egi.eu)
* ESA: G-POD Team (eo-gpod@esa.int)
 
|-
| [http://www.ftk.de/ FTK]
| FTK – Research Institute for Telecommunication and Cooperation – has been a competent partner for the development and realisation of innovative strategies in private economy and public administration since 1991. Interdisciplinary teams create and develop strategies in order to guarantee an efficient implementation of latest ICT systems, and beyond.
FTK consists of a team with broad and profound expertise in various fields such as consulting, research, information, innovation- and project management, event organisation and web development. The institute is located at the TechnologiePark Dortmund.
FTK would like to evaluate the EGI Federated Cloud capabilities.
|
* Use Case 1: running collaboration tools on the EGI Federated Cloud.
* Use Case 2: Data preservation.
| [[FedCloudFTK]]
|
* EGI: Diego Scardaci (diego.scardaci@egi.eu)
* FTK: Dominic Heutelbeck (dheutelbeck@ftk.de) 
 
 
|-
| [http://www.inertia-project.eu/inertia/ INERTIA]
| INERTIA project addresses the "structural inertia" of existing Distribution Grids by introducing more active elements combined with the necessary control and distributed coordination mechanisms. To this end INERTIA will adopt the Internet of Things/Services principles to the Distribution Grid Control Operations.
|
* Use Case 1: Selection of the optimal portfolio on an emergency grid operation - Congestion issues are related with the power that flows among the lines or the transformers of a power system. The power flows among the different network’s equipment must be maintained within acceptable operational limits (equipment’s thermal limits) in order to prevent equipment failures. In emergency situation a selection of optimal local hub can be used to keep the grid stable.
* Use Case 2: Selection of the optimal portfolio on a non emergency grid operation - This use case describes the situation where the total Consumption of an Aggregated portfolio should be optimized based on the reception of data from market operations. This can be the prediction of tariff information, the operation of Reserve Markets.
* Use Case 3: Monitoring of energy data (Aggregator Hub installation) - A rich monitoring tool is the prerequisite to determine state and performance of the total hub portfolio. It has to collect measured data on different time-scales from DERs, Building Energy Management Systems (Local Hubs) and also manage the regulation of data provision with a large variety of graphical data representations. Different monitoring approaches are delivered for the available data depending on the time horizon.
* Use Case 4: Setting User Preferences - Final Occupants will have the capability of explicitly setting their preferences through a personalized Ambient UI. Moreover, they will have full control over DERs within their personalised working area, using traditional controls (light switches, HVAC panels etc.). If they feel that their preferences are violated, any automated control will be postponed, informing the system of the corrective action performed by the user and the potential discomfort caused.
| [[FedCloudINERTIA]]
|
* EGI: Diego Scardaci (diego.scardaci@egi.eu)
* Engineering: Giampaolo Fiorentino (giampaolo.fiorentino@eng.it), Luigi Briguglio (luigi.briguglio@eng.it) 
 
 
 
|-
| [http://jams.uni-jena.de/ Jena Adaptable Modelling System (JAMS)]
| JAMS is an java-based, open-source software platform that has been especially designed to address the demands of a process-based hydrological model development and various aspects of model application (https://appdb.egi.eu/store/software/jams).
JAMS is a framework to build up complex models out of simple components. Several hydrological models were implemented within JAMS (e.g. J2000, J2000g). Usually those models are applied to simulate hydrological dynamics in catchments with a size of 1km² to 100,000 km² in a temporal time step of hours to months. Typically, the computing time of a single model run is in the range from minutes to hours (on a single workstation). However, those models have many parameters, which must be estimated indirectly during a calibration process. For model calibration an evolutionary optimization algorithms was adopted, which evaulate the model several thousand times. Therefore this calibration process takes days to weeks on a single workstation. To speed up this process, we implemented a thread-based parallelization in JAMS. This thread-based parallelization is used for example to evaluated several parameter combinations in parallel during optimization. The model calibration is carried out frequently. Sometimes more than 10 times a week.
|
* Use Case: run JAMS on the EGI Federated Cloud
| [[FedCloudJAMSPoC]]
|
* JAMS: Christian Fischer (christian.fischer.2@uni-jena.de) -  Department of Geoinformatics, Hydrology and Modelling of Friedrich Schiller University Jena
* EGI: Diego Scardaci (diego.scardaci@egi.eu)
 
 
 
|-
| [http://www.peachnote.com Peachnote]
| Peachnote.com  is a music score search engine and analysis platform. The system is the first of its kind and can be thought as an analog of Google Books Ngram Viewer and Google Books search for music scores. Peachnote provides visitors and researchers access to a massive amount of symbolic music data.
|
* Use Case 1: the ability to upload and start a prepared VMware VM. The VM has only to be able to make outbound connections: to Amazon's SQS for job information, to HBase cluster to retrieve and store data, and to the peachnote server to regularly update the workflow code. No inbound connections are needed, which hopefully means less administrative and security concerns.
* Use Case 2: the ability to run a small Hadoop and HBase cluster in the cloud.
| [[FedCloudPeachnote]]
|
* EGI: Gergely Sipos (gergely.sipos@egi.eu), Salvatore Pinto (salvatore.pinto@egi.eu)
* Peachnote: Vladimir Viro (vladimir@viro.name)
 
 
|-
| [http://www.physiovalues.org Physiome project]
| Project of web application to compute, store and provide values of parameters of physiological models via lightweight API. The current version support model calibration. Further development will focus on storing the calibrated model parameters along with the data of real experiments and simulations and metadata of models. See [https://indico.egi.eu/indico/contributionDisplay.py?sessionId=10&contribId=51&confId=1994 slides] presented at the EGI CF 2014 for more info.
|
* Use Case: Run on the EGI Federated Cloud a system to support modeling of physiological systems in the phase of calibrating model parameters and in the phase of simulating different scenarios. The loosely coupled part of the system is deployed in a remote distributed computational capacity. The system capabilities is accessible via a web application and allows user to focus on experimental data, names of parameters, visual control of the calibration computation and hide unnecessary complexity of the remote subsystems computation. The data of real experiments and simulations are stored and provided for further research.
| [[FedCloudPhysiome]]
|
* EGI: Diego Scardaci (diego.scardaci@egi.eu), Nuno Ferreira (nuno.ferreira@egi.eu)
* Physiome: Tomas Kulhanek (tomas.kulhanek@lf1.cuni.cz)
 
 
|-
| [http://pythonhosted.org/READemption/ READemption - A RNA-Seq Analysis Pipeline]
| RNA-sequencing analysis of data has performed to understand different biological features and behaviour. The research team generated a workflow based on a pipeline built to satisfy many experiments using Python 3.4, third party-libraries (numpy, pysam, matplotlib) and some external tools as segemehl and R. The running time heavily depends on the size and type of data. Usually takes some hour to some day. The workflow will be published as open source tool soon. Indeed, it’s a very common approach.
|
* Use Case: the use case consist to run this workflow on the EGI Federated Cloud.
| [[FedCloudRNASeq]]
|
* EGI: Diego Scardaci (diego.scardaci@egi.eu), Salvatore Pinto (salvatore.pinto@egi.eu)
* Core Unit Systems Medicine - University of Wurzburg: Konrad Foster   
 
 
 
|-
| [https://trufa.ifca.es/web TRUFA - Transcriptomes User-Friendly Analysis]
| TRUFA (Transcriptomes User-Friendly Analysis) is a free webserver designed to help researchers in genomics to perform de novo RNA-seq analysis.  TRUFA aims to be a public service targeting a broad audience, namely comparative biology, biomedicine, bioinformatics and others. Sequencing methods are becoming cheaper and thus it is foreseeable that researchers studying models as well as non-models organisms could make use of this service. Having such pipeline ready for use will allow any biologist to perform RNA-seq analysis in a user-friendly way.
|
* Use Case: Exploiting FedCloud resources from the TRUFA Portal
| [[FedCloudTRUFA]]
|
* EGI: Diego Scardaci (diego.scardaci@egi.eu), Nuno Ferreira (nuno.ferreira@egi.eu)
* IFCA: Jesus Marco de Lucas (marco@ifca.unican.es)
* Department of Biodiversity and Evolutionary Biology at MNCN (Museo Nacional de Ciencias Naturales, Madrid): Etienne Kornobise (ekornobis@gmail.com)
 
 
 
|-
| [http://verce.eu/ VERCE]
| Earthquake and seismology research addresses fundamental problems in understanding the Earth's internal wave sources and properties, thereby aiding society in the management of natural hazards, energy resources, environmental changes, and national security. VERCE is supporting this effort by developing a data-intensive e-science environment to enable innovative data analysis and data modelling methods that fully exploit the increasing wealth of open data generated by the observational and monitoring systems of the global seismology community.
|
* Use Case : evaluate EGI Federated Cloud capabilities for data analysis and post-processing.
| [[FedCloudVERCE]]
|
* EGI: Gergely Sipos (gergely.sipos@egi.eu)
* VERCE: andre.gemuend@scai.fraunhofer.de
 
 
|-
| [https://www.wenmr.eu WeNMR]
| The objective of WeNMR is to optimize and extend the use of the NMR and SAXS research infrastructures through the implementation of an e-infrastructure in order to provide the user community with a platform integrating and streamlining the computational approaches necessary for NMR and SAXS data analysis and structural modelling.
|
* Use Case 1: using VMs prepared with Gromacs and some other software to run MD simulations for educational purpose, possibly on multi-core VMs.
* Use Case 2: validating and improving biomolecular NMR structures using VirtualCing (http://code.google.com/p/cing/wiki/VirtualCing), a VM equipped with a complex suite of ~25 programs. The cloud usage framework is based on a pilot job mechanism making use of the ToPoS (https://grid.sara.nl/wiki/index.php/Using_the_Grid/ToPoS) tool. Therefore, such a framework would naturally allow for execution of VirtualCing  tasks across multiple cloud providers. Do notice that the framework is independent on the cloud access interface: it would work also with simple grid jobs, as far as the user-defined (or VO manager defined) VirtualCing VM is available at the grid site e.g. in a SE (or in the VO software area mounted by the WNs) and the grid job is allowed to start the VM. Technical details about its current implementation are available at http://code.google.com/p/cing/w/list. A live demonstration about the deployment and use of VirtualCing on the WNoDeS testbed of the INFN-CNAF computing centre has been shown at the EGI TF 2012 held in September: http://prezi.com/hrzwekguwfkx/virtualcing-cloud-demo-on-wnodes.
| [[FedCloudWeNMR]]
|
* EGI: Nuno Ferreira (nuno.ferreira@egi.eu)
* WeNRR: Marco Verlato (marco.verlato@pd.infn.it), Alexandre Bonvin (a.m.j.j.bonvin@uu.nl)
 
 
 
|-
| [https://guse.sztaki.hu/liferay-portal-6.0.5/ WS-PGRADE]
| WS-PGRADE is a portal environment for the development, execution and monitoring of workflows and workflow based parameter studies on different Distributed Computing Infrastructures (DCI).
|
* Use Case 1: biologists, chemists simulating molecular docking by the autodock software tool are potential users of this use case. This use case gives the ability to run a small BOINC based desktop grid infrastructure as a DCI and to submit a pre-defined application (called autodock) to this DCI through the WS-PGRADE/gUSE portal as a (predefined) workflow.
* Use Case 2: any scientists requiring an on-demand, scalable computing infrastructure are potential users of this use case. This use case gives the ability to run a small BOINC based desktop grid infrastructure providing virtualisation support (GBAC) on the computational resource (BOINC client). The job submission interface in this scenario is the WS-PGRADE/gUSE system where compound applications (i.e. workflows) can be easily built and executed on the BOINC based desktop grid DCI. The submitted jobs of the workflow are executed on minimal linux OS used as the virtualised environment. Scalability can be improved by attaching external (non-cloud) resources to the desktop grid server.
| [[FedCloudWSPGRADE]]
|
* EGI: Gergely Sipos (gergely.sipos@egi.eu)
* WS-PGRADE: Peter Kotcauer (peter.kotcauer@sztaki.mta.hu)
-->
== High level tools use cases  ==
 
This table lists the high-level tools integrated in the EGI Federated Cloud that have been supported as use cases.
 
{| cellspacing="0" cellpadding="10" border="1" class="wikitable sortable"
|-
! Community
! class="unsortable" | Description
! class="unsortable" | Status
! class="unsortable" | Further information
|-
| [http://www.catania-science-gateways.it Catania Science Gateway Framework]
| It is an high-level tool (SaaS model) providing application developers with a tool to create Science Gateways (SGs) in short time 
| Production
| [[Fedcloud-tf:How to use the Catania Science Gateway Framework as Application Broker|CSGF App. Broker HowTo]]
|-
| [http://diracgrid.org DIRAC]
| VMDIRAC is a DIRAC extension to integrate Federated Clouds in a transparent manner to the user.
| Production
| [[FedCloudDIRAC]]
|-
| [http://www.sci-bus.eu/ SCI-BUS]
| Test/debug new releases of WS-PGRADE
| Test &amp; Integration
| [[FedCloudWSPGRADE]]
|}
|}

Latest revision as of 17:04, 25 May 2015

Overview For users For resource providers Infrastructure status Site-specific configuration Architecture



Federated Cloud Communities menu: Home • Production use cases • Under development use cases • Closed use cases • High level tools use cases



Technical support is available via the EGI.eu Support Team

Introduction

This wiki page provides information about the user communities and use cases who are exploiting the EGI Federated Cloud infrastructure and its services. These use cases and communities collaborated (or collaborate in the past) with the EGI Federated Cloud to enable scientific applications, simulations or tools in virtualised environments. The evolution of the Federated Cloud infrastructure is driven by the requirements of these use cases and the needs of the broader scientific community and industry in the European Research Area.

The EGI Federated Cloud User Support (FCUS) team during the porting and integration work of the use cases into the Federated Cloud, follows a well defined process described bellow. The various phases are described as well, and will be used in the next coming tables to list the ongoing, production and closed use cases.

Use cases in a pre-assessment phase are not listed in this page.

Cloud.Use.Cases.StatusV2.PNG
Status Description
Pre-assessment FCUS members identified a potential use case that can profit from the EGI Federated Cloud services
Assessed The use case requirements are assessed with relevant information added to a dedicated wiki page, to manage the full porting & integration process
Preparatory The user & FCUS team setup the environment to execute tests on the FedCloud (configuration of client environment, identify resource providers, upload vm images, ...)
Test & Integration Users are accessing the FedCloud through the fedcloud.egi.eu VO to execute tests while integrate their applications to the infrastructure
Pre-production Test & integration phases were successfully completed. Create a production Virtual Organization (VO) or join an already existing VO
Production VO negotiate and agree on VO SLA with EGI. Use case is being used in production. The use case completed all tests and is regularly making use of the Federated Cloud using a production level VO
Closed Test & integration successfully completed. Use case does not foresee moving into production.
Cancelled Test & integration did not successfully completed. User cancelled the use case.

Production Use Cases

The following table shows the use cases in production status phase that are regularly making use of the EGI Federated Cloud using a production level VO.

Community Description Scientific discipline VO Sites Further information
BioVeL BioVeL Portal: it is a browser-based interface that contains everything necessary to run users' workflow without user having to install anything on their own computer. Natural sciences

Biological sciences Biodiversity conservation

biomed BIFI, CESNET-MetaCloud, PRISMA-INFN-BARI Wiki page
BioVeL OpenRefine: it is a powerful tool for working with messy data, cleaning it, transforming it from one format into another, extending it with web services, and linking it to databases. Natural sciences

Biological sciences Biodiversity conservation

biomed BIFI, CESNET-MetaCloud, PRISMA-INFN-BARI Wiki page
BioVeL OpenModeller: The Ecological Niche Modelling (ENM) Workflow takes as input a file containing species occurrence points to create a model with the openModeller Web Service. Natural sciences

Biological sciences Biodiversity conservation

biomed CESNET-MetaCloud Wiki page
BioVeL BioSTIF: it is a web map application designed for the interactive visualisation of spatio-temporal data. Natural sciences

Biological sciences Biodiversity conservation

biomed BIFI, CESNET-MetaCloud, PRISMA-INFN-BARI Wiki page
Catania Science Gateway Framework It is an high-level tool (SaaS model) providing application developers with a tool to create Science Gateways (SGs) in short time N/A N/A N/A Wiki page
CHAIN-REDS R: it is a free software environment for statistical computing and graphics. visualisation of spatio-temporal data. Natural sciences

Mathematics Statistics and probability

vo.chain-project.eu CESNET-MetaCloud, INFN-CATANIA-NEBULA, INFN-CATANIA-STACK, PRISMA-INFN-BARI Wiki page
CHAIN-REDS Octave: it is a high-level interpreted language, primarily intended for numerical computations. It provides capabilities for the numerical solution of linear and nonlinear problems, and for performing other numerical experiments. It also provides extensive graphics capabilities for data visualization and manipulation. Natural sciences

Mathematics Statistics and probability

vo.chain-project.eu CESNET-MetaCloud, INFN-CATANIA-NEBULA, INFN-CATANIA-STACK, PRISMA-INFN-BARI Wiki page
CHAIN-REDS tthreader Natural sciences

Biological sciences
Bioinformatics

vo.chain-project.eu CESNET-MetaCloud, INFN-CATANIA-NEBULA, INFN-CATANIA-STACK, PRISMA-INFN-BARI Wiki page
CUSM, Würzburg University READemption: RNA-seq. analysis of data to understand different biological features and behaviour. Natural sciences

Biological sciences Bioinformatics

highthroughputseq.egi.eu GoeGrid, IFCA Wiki page
CSC / ELIXIR Chipster: it is a user-friendly analysis software for high-throughput data. It contains over 300 analysis tools for next generation sequencing (NGS), microarray, proteomics and sequence data Natural sciences

Biological sciences Bioinformatics

chipster.csc.fi PRISMA-INFN-BARI Wiki page
DIRAC VMDIRAC is a DIRAC extension to integrate Federated Clouds in a transparent manner to the user. N/A N/A N/A Wiki page
DRIHM Run Hydrology and Hydraulic models on the cloud Natural sciences

Earth sciences Hydrology

drihm.eu PRISMA-INFN-BARI Wiki page
ELIXIR Access to EGI Cloud Marketplace via EBI IdP Natural sciences

Biological sciences Bioinformatics

N/A N/A Wiki page
IFCA CMS Open Data Portal: it is a virtual environment that allows the execution for educational purposes of CMS 2010 software to analyze the Open Data available at CERN Open Data portal. Natural sciences

Physical sciences High energy physics

cms IFCA Wiki page
Peachnote OCR analysis in music scores Humanities

Arts Musicology

peachnote.com CESNET-MetaCloud, FZJ Wiki page

Use Cases under development

The following table shows the use cases from assessed to pre-production status phases.

Community Description Registration date Scientific discipline Status Further information
Aix Marseille Universite RSAT (Regulatory Sequence Analysis Tools): it provides a series of modular computer programs specifically designed for the detection of regulatory signals in non-coding sequences. 2014.10.08 Natural sciences

Biological sciences Other

Preparatory Wiki page
BILS BILS portal: front-end to biological tools for not IT skilled users. 2014.10.31 Natural sciences

Biological sciences

Preparatory Wiki page
BILS PConsC2: tools for protein structure prediction. 2014.10.31 Natural sciences

Biological sciences Bioinformatics

Test & Integration Wiki page
BILS Genome Annotation service: genome brower to run genome annotation pipeline. 2014.10.31 Natural sciences

Biological sciences Bioinformatics

Preparatory Wiki page
BILS TOPCons2: Membrane topology prediction web-server. 2014.10.31 Natural sciences

Biological sciences Bioinformatics

Test & Integration Wiki page
BioVeL EDIT: it is a portal to access/visualize Catalogue of Life taxonomy data 2013 Natural sciences

Biological sciences Biodiversity conservation

Assessed Wiki page
BSIM2 Proof of Concept and optimization of data workflow 2014.04.12 Natural sciences

Biological sciences

Assessed Wiki page
CERN ATLAS Run a cluster on-demand on the cloud to absorb peaks from ATLAS grid. 2013 Natural sciences

Phisical sciences High energy physics

Test & Integration Wiki page
CERN ATLAS Run ATLAS jobs on the EGI FedCloud through Vac/Vcycle 2014.10.15 Natural sciences

Phisical sciences
High energy physics

Pre-production Wiki page
CERN CMS Run CMS jobs on the EGI FedCloud through Vac/Vcycle 2014.12.17 Natural sciences

Phisical sciences
High energy physics

Pre-production Wiki page
CERN LHCb Run LHCb jobs on the EGI FedCloud through Vac/Vcycle 2014.11.19 Natural sciences

Phisical sciences
High energy physics

Pre-production Wiki page
CERN@School CERN@school is a programme that brings CERN into the classroom. The cernatschool.org VO would use the EGI Federated Cloud to give users in facilities without access to a research-grade IT infrastructure access to the tools they need for analysing and storing data collected by CERN@school projects using the Timepix hyrbid silicon pixel detectors. 2014.04.20 Natural sciences

Phisical sciences
High energy physics

Pre-production Wiki page
CHAIN-REDS WRF (weather research forecast): it is a next-generation mesoscale numerical weather prediction system designed to serve both atmospheric research and operational forecasting needs. 2013 Natural sciences

Earth sciences Atmospheric science

Test & Integration Wiki page
CHAIN-REDS ALEPH: it was a particle physics experiment installed on the Large Electron-Positron collider (LEP) at the CERN laboratory in Geneva/Switzerland. 2014.11.17 Natural sciences

Phisical sciences
High energy physics

Test & Integration Wiki page
Charles University in Prague - First Faculty of Medicine Physiome project: Project of web application to compute, store and provide values of parameters of physiological models via lightweight API. 2014.05.29 Medical and Health Sciences

Basic medicine Physiology

Assessed Wiki page
CLARIN ERIC Virtual Language Observatory. 2015.02.01 Humanities

Languages and literature Linguistics

Assessed Wiki page
CNR Satellite Data. 2015.02.01 Natural Sciences

Earth Sciences Physical geography

Assessed Wiki page
CNR / Engineering D4Science/i-Marine. 2015.03.01 Natural Sciences

Biological Sciences Ecology

Assessed Wiki page
Curoverse Arvados: integrate Arvados platform in the EGI Federated Cloud 2014.08.01 Natural sciences

Biological sciences Bioinformatics

Test & Integration Wiki page
DCH-RP / Engineering Deploy SCIDIP-ES HAPPI Toolkit in the EGI Federated Cloud for the DCH-RP community. The HAPPI toolkit supports the archive manager and curator to capture and manage part of the Preservation Descriptive Information (PDI). 2014.07.08 Support activities

Digital archives

Pre-production Wiki page
DCH-RP Long term preservation in the cloud 2014.03.12 Support activities

Digital archivies

Preparatory Wiki page
Departamento de física teórica y del cosmos, Universidad de Granada Auger: running CORSIKA and OFFLINE in the EGI Federated Cloud. 2015.03.03 Natural sciences

Physical sciences Astroparticle physics

Pre-production Wiki page
EPOS Download datasets from TCSs through ICS. 2015.03.01 Natural Sciences

Earth Sciences

Assessed Wiki page
EPOS MISFIT/VERCE application. 2015.03.01 Natural Sciences

Earth Sciences Volcanology

Assessed Wiki page
ESA Stimulus Project. 2015.04.27 Natural Sciences

Physical Sciences Space Sciences

Assessed Wiki page
HARNESS The HARNESS project is developing a new generation of cloud computing platforms that integrate heterogeneous hardware resources to provide vastly increased performance with reduced energy consumption and lower cost. HARNESS would like to organise training events using FedCloud resources 2014.10.06 Natural sciences

Computer sciences Distributed Computing

Assessed Wiki page
HARNESS The HARNESS project developed a PaaS to better exploit cloud resources. Aim of this use case is deploying the HARNESS PaaS on the EGI Federated Cloud to make it available for EGI users. 2014.10.06 Natural sciences

Computer sciences Distributed Computing

Assessed Wiki page
IFCA Hydrodynamic modeling using EGI FedCloud 2014.09.25 Natural sciences

Earth sciences Hydrology

Test & Integration Wiki page
IFCA Water Quality modeling using EGI FedCloud 2014.11.06 Natural sciences

Biological sciences Ecology

Test & Integration Wiki page
IFCA TRUFA (Transcriptomes User-Friendly Analysis): it is a free webserver designed to perform RNA-seq analysis. 2014.08.01 Natural sciences

Biological sciences Evolutionary biology

Assessed Wiki page
INERTIA / Engineering The INERTIA project addresses the "structural inertia" of existing Distribution Grids by introducing more active elements combined with the necessary control and distributed coordination mechanisms. To this end INERTIA will adopt the Internet of Things/Services principles to the Distribution Grid Control Operations. 2014.09.01 Engineering and technology

Environmental engineering
Energy and fuels

Pre-production Wiki page
Instituto de Astrofísica de Andalucía Calibration, Analysis and Modelling of Radio-Astronomy Data: Data Development of a calibration pipeline for LOFAR data 2014.10.06 Natural sciences

Phisical sciences Astronomy

Test & Integration Wiki page
Instituto de Astrofísica de Andalucía Calibration, Analysis and Modelling of Radio-Astronomy Data: Modelling of the kinematic of galaxies (GIPSY) 2014.10.06 Natural sciences

Phisical sciences Astronomy

Test & Integration Wiki page
KNMI CLIPCE. 2015.02.01 Natural sciences

Earth sciences Climate research

Preparatory Wiki page
VERCE Deploy a service that utilizes Cloud resources to offer simplified execution of data pre- and post-processing scripts. It offers users access to the ObsPy seismological toolbox for processing data with the Python programming language, executed on virtual Cloud resources in a secured sandbox. 2013 Natural sciences

Earth sciences Seismology

Preparatory Wiki page


Closed Use Cases

The following table shows the use cases in Closed status phase. These use cases are related to the communities that tested the EGI Federated Cloud but that are not decided yet to use it for production aims. Use cases related to the adoption of EGI Federated Cloud services by other communities are also inserted in this table. An outcome for each use case is available.

Community Description Scientific discipline Outcome Further information
ELIXIR Access to EGI Cloud Marketplace via EBI IdP Natural sciences

Biological sciences Bioinformatics

The EGI AppDB authentication system has been extended to support the Elixir/EBI’s Identity Provider. Wiki page
ENVRI Data access, catalog and dissemination (EISCAT 3D) Natural sciences

Phisical sciences Space science

In this proof-of-concept the OSGC software was deployed on the EGI Federated Cloud. OSGC is an Open Source implementation of an OpenSearch GeoSpatial Catalogue compliant to OGC 10-32r3 specification, developed by EGI.eu (http://www.egi.eu/) under the ENVRI (http://envri.eu/) project. Wiki page
ESA SSEP Data processing Natural sciences In the context of the Helix Nebula initiative, the European Space Agency organized a Proof of Concept using EGI Federated Cloud resources. The pilot proved the possibility to support the SuperSites Exploitation Platform flagship using academic resources, such as the one provided by the EGI federated cloud. An instance of the SSEP processing cluster has been instantiated into the EGI Federated cloud, on several EGI sites, connected with the SSEP processing platform and used to run test earthquakes monitoring related processing (such as SBAS and Gamma IPTA processing). SlipStream was adopted as Infrastructure broker. Wiki page
Jena University JAMS (Jena Adaptable Modelling System): run JAMS in the FedCloud Natural sciences

Earth sciences Hydrology

Aim of this proof-of-concept was the evaluation of the EGI Federated Cloud as alternative to the community computing resources to execute JAMS computation. The community already owns enough computing resources for their current needs but its workload should increase in a near future. The community was able to execute standard JAMS simulation in the EGI Federated Cloud without major issue. Wiki page
WeNMR Validating and improving biomolecular NMR structures Natural sciences

Biological sciences Structural biology

Proof of concept demonstrating the validation and improvement of biomolecular NMR structures using VirtualCing, a Virtual Machine equipped with a complex suite of ~25 programs. It was demonstrated at the Cloudscape V Workshop held in February 2013 and at the EGI CF 2013 held in April (see demostrations of VCing over the EGI Federated Cloud) Wiki page

High level tools use cases

This table lists the high-level tools integrated in the EGI Federated Cloud that have been supported as use cases.

Community Description Status Further information
Catania Science Gateway Framework It is an high-level tool (SaaS model) providing application developers with a tool to create Science Gateways (SGs) in short time Production CSGF App. Broker HowTo
DIRAC VMDIRAC is a DIRAC extension to integrate Federated Clouds in a transparent manner to the user. Production FedCloudDIRAC
SCI-BUS Test/debug new releases of WS-PGRADE Test & Integration FedCloudWSPGRADE
Retrieved from "https://wiki.egi.eu/w/index.php?title=Federated_Cloud_Communities&oldid=79693"