ServiceGuides

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This wiki page provides training materials and service documentations that help end users better understand EGI (and third-party's) services. You can ask questions and discuss a particular service at: https://community.egi.eu/

Contents

EGI Services

Cloud Computing

The EGI Federated Cloud is a standards-based, open cloud system that federates institutional clouds to offer a scalable computing platform for data and/or compute driven applications and services in research and science.

Training Materials

User Manual

Publications

Cloud Container Compute

The Cloud Container Compute offers guaranteed computational resources in a secure and isolated environment with standard API access, without the overhead of managing the operating system.

Training Material

User Manual


Application on Demand

Application on Demand service allows user-friendly access to a portfolio of applications and application hosting frameworks (Science Gateways, VREs) that are configured to use the dedicated pool of cloud computing and HTC clusters from EGI. The service also allows users to run their own simulation/analysis models with custom input data.

Training Material

User Manual

Publication


DataHub

The EGI DataHub is a service prototype designed to make data discoverable and available in an easy way across all EGI federated resources.

Training Materials

User Manuals

Publication

Additional Materials

Check-In

EGI Check-In is a proxy service that operates as a central hub to connect federated Identity Providers (IdPs) with EGI service providers. Check-in allows users to select their preferred IdP so that they can access and use EGI services in a uniform and easy way.

Training Material

User Manuals

Additional Information


EGI Jupyter Notebook

EGI Jupyter Notebook is an 'as a Service' environment based on the Jupyter technology, offering a browser-based, scalable tool for interactive data analysis. The EGI Notebooks environment provides users with notebooks where they can combine text, mathematics, computations and rich media output. EGI Notebooks is a multi-user service and can scale to multiple servers based on the EGI cloud service.

Training Material

Online Storage

Online Storage allows you to store data in a reliable and high-quality environment and share it across distributed teams. Your data can be accessed through different standard protocols and can be replicated across different providers to increase fault-tolerance. Online Storage gives you complete control over the data you share and with whom

Training Material

User Manual

Workload Manager

EGI Workload Manager (also known as DIRAC4EGI) is a service is provided to the EGI community as a workload management service used to distribute the users' computing tasks among the available resources both HTC and cloud.

Training Material

User Manual

Data Transfer

Data Transfer allows you to move any type of data files asynchronously from one place to another. The service includes dedicated interfaces to display statistics of on-going transfers and manage network resources.

User Manuals

EGI Marketplace

The EGI Marketplace provides an online platform for exposing and promoting services to new scientific and market segments. The Marketplace provides all the necessary functionalities for bringing together offering and demand to make research happen. All services are provided by the EGI Federation and partner institutions.

Training Material

3rd party services (not part of the EGI Service Catalogue)

EGI VMOps dashboard

The EGI Application Database (AppDB) has recently evolved its functionalities from its currently catalogue of applications and virtual machines (VMs) to include a Graphical User Interface (GUI) allowing authorized users to perform basic VM management operations.

Training Material

The EGI Applications Database is developed and operated by the Institute of Accelerating Systems and Applications (IASA) on behalf of the EGI Foundation as an EGI Core Service.

The Webinar was recorded. You can watch the recording at: http://connect.ct.infn.it/p5cty7tor87/

Additional Information


WS-PGRADE

WS-PGRADE is an open source, Liferay-based web portal environment for the design and execution of compute and data intensive applications on grid and cloud platforms. Applications can be defined in the form of data-driven workflows in WS-PGRADE. Steps within a workflow can be executable applications, Virtual Machine images, or online (Web) Services. These computational steps are connected through data-dependencies within the workflow: The output of one computation can serve as input of the next one. WS-PRADE resolves data dependencies and manages the computational operations on the infrastructure resources. The back-end system of WS-PGRADE is compatible with various academic and commercial grid and cloud systems, including federated clouds and gLite clusters of EGI. Moreover, scientific communities can connect workflow-specific Web interfaces to WS-PGRADE to simplify the execution of workflows for researchers. This is enabled by the 'Remote API' component of WS-PGRADE, a programming interface that exposes the workflow registry and the workflow manager service to third party clients. During the webinar the main capabilities of WS-PGRADE will be presented and demonstrated. The event will also provide opportunity to discuss scientific applications that would benefit from the use of WS-PGRADE to access EGI cloud and grid resources.

Training Material

Additional Information


Hadoop on the EGI Federated Cloud

With the rapid increase of data volumes in scientific computations, the importance of utilising parallel and distributed computing paradigms in data processing is becoming more and more important. Hadoop is an open source implementation of the MapReduce framework supporting processing large datasets in parallel and on multiple nodes in a reliable and fault-tolerant manner. Scientific workflow systems and science gateways are high level environments to facilitate the development, orchestration and execution of complex experiments from a user-friendly graphical user interface. Integrating MapReduce/Hadoop with such workflow systems and science gateways enables scientists to conduct complex data intensive experiments utilising the power of the MapReduce paradigm from the convenience provided by science gateway frameworks.

Training Material

User Manual

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