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Coordinators:
Erwin Laure, CERN |
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The Grid Track covers several aspects of Grid computing and provides the ability to get hand-on experience with modern Grid tools. A major part will be dedicated to Grid software that is deployed by the LCG and EGEE projects (both managed by CERN). These projects aim to deploy a large-scale research infrastructure for Grid computing spanning more than 100 sites world-wide. This infrastructure is in regular use by the LHC experiments and, trough the EGEE project, by several other scientific communities such as biomedicine, astro-physics, chemistry, and earth observation. The tutorials will present the Grid software architecture and discuss the interplay of basic Grid software (Globus, Condor), higher level Grid middleware, and application software. Emphasis will be put on Grid architecture and specific middleware issues in job submission, data management and information systems. Novel Grid service technologies which are based on extensions to Web Service technologies will be introduced. In several practical exercises the students will learn how to use Grid tools for their distributed data or computing intensive applications. |
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Type |
Series |
Lecture |
Description |
Lecturer |
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Lectures |
Grid Technologies |
Lecture 1 |
Introduction to the Grid computing An Overview about the Grid Track, it's lectures, the Grid architecture, techniques used to build Grid middleware, and major Grid infrastructures is given |
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Lecture 2 |
Job Submission / Workload Management Most of the users of the Grid software interact with the system by submitting their jobs (executable programs) to a Resource Broker which does a matchmaking on available and requested resources and then dispatches jobs to resources on the Grid. This lecture provides background about the work load management software system and details about how job submission is done. |
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Lecture 3 |
Data Management One of the main objectives of a Data Grid is the management of large distributed data stores. This lecture gives an overview about replica and meta data management as well as the software tools provided to deal with data management problems. |
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Lecture 4 |
Information Systems In a Grid environment, there are several hardware and software resources that can be used by end users as well as Grid services and applications. Information systems are used to keep track of resources and also to monitor the current status. Current solutions are presented in detail and how end users can interact with them. |
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Lecture 5 |
Grid Service Technologies Recent advances in Grid technologies allow to move from tightly coupled Grid systems to more loosely coupled Grid Services exploiting Web Service technologies. In this lecture we introduce the basic concepts of Grid Services and their underlying standards. |
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Exercises |
Grid
Technologies |
Exercise 1 |
Hands-on exercise on Job submission Practical exercises where participants will actively use Grid Software for executing their computation on the Grid. |
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Exercise 3 |
Hands-on exercise on Data Management Practical exercises where participants will actively use Grid Software for solving data management problems, combined with computational tasks. |
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Exercise 5 |
Hands-on exercise on Grid Services Practical exercises how Grid Services technologies work, including setting up a customized Grid Service |
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Mini-project |
Grid Technologies |
Session 1 |
Mini-project In this project students will try to use their specific applications and run them on the Grid. More details will be given based on what students have achieved during the school |
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Wrap up |
Grid Technologies |
Session 1 |
Wrap-up of Grid Technologies Track |