EGEE is a project funded by the European Union under contract IST-2003-508833 GENIUS and GILDA Guy Warner NeSC Training Team Induction to Grid Computing.

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Presentation transcript:

EGEE is a project funded by the European Union under contract IST GENIUS and GILDA Guy Warner NeSC Training Team Induction to Grid Computing and the EGEE Project, Vilnius,

Induction to Grid Computing and the EGEE Project, Vilnius, Contents Why GENIUS is needed GILDA GENIUS (functionality and how it works) Example Applications Introduction to the Practical

Induction to Grid Computing and the EGEE Project, Vilnius, Contents Why GENIUS is needed GILDA GENIUS (functionality and how it works) Example Applications Introduction to the Practical

Induction to Grid Computing and the EGEE Project, Vilnius, Middleware components ReplicaCatalogue Logging & Book-keeping ResourceBrokerStorageElementComputingElement InformationService Job Status DataSets info Author. &Authen. Job Submit Event Job Query Job Status Input “sandbox” Input “sandbox” + Broker Info Output “sandbox” Publish SE & CE info “User interface”

Induction to Grid Computing and the EGEE Project, Vilnius, LCG2 Command Line edg-job-list-match –vo gilda HelloWorld.jdl edg-job-submit --vo gilda -o job.id HelloWorld.jdl edg-job-status -v 1 -i job.id edg-job-get-output -i job.id --dir.

Induction to Grid Computing and the EGEE Project, Vilnius, The New EGEE Middleware

Induction to Grid Computing and the EGEE Project, Vilnius, GENIUS: A grid portal Grid Enabled web eNvironment for site Independent User job Submission Avoids users needing to learn complex command line interfaces to the Grid It can be accessed from everywhere and by “everything” (desktop, laptop, PDA, mobile phone). It can keep the same user interface to several back-ends (including the switch to new EGEE middleware). It must be redundantly “secure” at all levels Grid services “a mouse click away”.

Induction to Grid Computing and the EGEE Project, Vilnius, Contents Why GENIUS is needed GILDA GENIUS (functionality and how it works) Example Applications Introduction to the Practical

Induction to Grid Computing and the EGEE Project, Vilnius, GILDA Grid INFN Laboratory for Dissemination Activities GILDA incorporates: The Gilda Testbed GENIUS Grid-Demonstrator Grid-tutor A monitoring system using GridICE A virtual laboratory to demonstrate/disseminate the strong capabilities of grid computing.

Induction to Grid Computing and the EGEE Project, Vilnius, The GILDA home page (

Induction to Grid Computing and the EGEE Project, Vilnius, The GILDA Virtual Organization

Induction to Grid Computing and the EGEE Project, Vilnius, The GILDA Certification Authority

Induction to Grid Computing and the EGEE Project, Vilnius, The GILDA Certification Authority 2

Induction to Grid Computing and the EGEE Project, Vilnius, Contents Why GENIUS is needed GILDA GENIUS (functionality and how it works) Sample Applications Introduction to the Practical

Induction to Grid Computing and the EGEE Project, Vilnius, Accessing GENIUS 1 GENIUS Grid Demonstrator (open access) Grid Tutor Web Sites using Secure http

Induction to Grid Computing and the EGEE Project, Vilnius, Accessing GENIUS 2 PDAMobile Phone

Induction to Grid Computing and the EGEE Project, Vilnius, The GENIUS hourglass model OS & Net services Basic Services High level GRID middleware HEPBiomed Other apps Other apps Applications’ specific layer Other apps GLOBU S toolkit EDG/LCG architecture GENIUS web portal GENIUS ® (Grid Enabled web eNvironment for site Independent User job Submission) [ INFN/NICEsrl collaboration

Induction to Grid Computing and the EGEE Project, Vilnius, GENIUS: how it works Apache EnginFrame GENIUS https+java/xml+rfb WEB Browser UI Loc al WS the Grid M/W+GSI 3-tier model

Induction to Grid Computing and the EGEE Project, Vilnius, GENIUS graphic job editor (work in collaboration with DATAMAT)

Induction to Grid Computing and the EGEE Project, Vilnius, GENIUS graphic workflow editor (integration of TRIANA from GridLab)

Induction to Grid Computing and the EGEE Project, Vilnius, GENIUS interactive services

Induction to Grid Computing and the EGEE Project, Vilnius, GENIUS P2P services

Induction to Grid Computing and the EGEE Project, Vilnius, Contents Why GENIUS is needed GILDA GENIUS (functionality and how it works) Example Applications Introduction to the Practical

Induction to Grid Computing and the EGEE Project, Vilnius, Example Application: ALICE A Large Ion Collider Experiment Collide heavy nuclei to attempt to melt them into Quark-Gluon Plasma (the state of the universe before particles had formed). Each collision (event) will generate a data file approximately 2GB large. There is expected to be about 10 9 events per year. Expected data produced of order 2 PetaBytes per year.

Induction to Grid Computing and the EGEE Project, Vilnius, GENIUS and ALICE

Induction to Grid Computing and the EGEE Project, Vilnius, ALICE and Aliroot ALICE and its visualisation in Aliroot

Induction to Grid Computing and the EGEE Project, Vilnius, Example Application: GATE, A BioMed Application

Induction to Grid Computing and the EGEE Project, Vilnius, GENIUS and GATE

Induction to Grid Computing and the EGEE Project, Vilnius, Summary GILDA is a complete suite of grid elements (RB, BDII, RLS, CA, VO, monitoring system, web portal) and applications fully dedicated to dissemination purposes. GILDA runs and will run the last production (stable) version of the grid middleware (currently Grid.it based on LCG 2.2.0). GILDA is the dissemination tool which will be used during induction courses and tutorials GENIUS is a well established tool which will be fundamental in the process of interfacing new applications with the EGEE middleware hiding its complex internals to non-experts users from new communities.

Induction to Grid Computing and the EGEE Project, Vilnius, Contents Why GENIUS is needed GILDA GENIUS (functionality and how it works) Example Applications Introduction to the Practical

Induction to Grid Computing and the EGEE Project, Vilnius, Job Description Language (JDL) The supported attributes are grouped in two categories:  Job Attributes Define the job itself  Resources Taken into account by the RB for carrying out the matchmaking algorithm (to choose the “best” resource where to submit the job) Computing Resource –Used to build expressions of Requirements and/or Rank attributes by the user Data and Storage resources –Input data to process, SE where to store output data, protocols spoken by application when accessing SEs