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Using the EDG Testbed A report from the application WPs

This report provides an overview of the application-oriented testbed status, including live demos of currently-running ATLAS jobs, CMS Production System inspection, Ozone Measurement Processing, and Medical Image Analysis. It also includes statistics, geographical overview of testbed sites, and summary information about testbed resources.

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Using the EDG Testbed A report from the application WPs

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  1. Using the EDG TestbedA report from the application WPs Jeff Templon (Loose Cannon, NIKHEF, WP8 ) templon@nikhef.nl Oxana Smirnova (ATLAS, CERN/Lund/Dubna, WP8 ) Oxana.Smirnova@cern.ch

  2. Outline • Presentation of various application-oriented testbed status views • Snapshot of Currently-running ATLAS jobs • Live Inspection of CMS Production System (WP8 “Demo”) • Live Presentation of Ozone Measurement Processing (WP9 “Demo”) • Live Presentation of Medical Image Analysis (WP10 “Demo”) • Questions

  3. Status of Testbed • All my slides refer to (and all app demos run on) the Certified EDG Application Testbed • A few statistics • Geographical Overview of Testbed Sites • Summary information about testbed resources (generated from MDS) • Live visualization of running ATLAS jobs for one user

  4. A few statistics Since mid-November 2002

  5. Nb. of evts time CMS use of the system (Statistics) Events Production within EDG is part of the Official CMS production http://cmsdoc.cern.ch/cms/production/www/html/general/index.html SEs CEs

  6. CMS Demo • Introduction : • CMS computing task description • Integration of CMS production tools and EDG middleware • Live Inspection of Production System

  7. EO WebMap Portal

  8. Processing Sequence EO Product Catalogue Web Portal EO Product Archive EO Grid Engine EDG User Interface EO Replica Catalogue EDG Resource Broker EDG Storage Element EDG Computing Element

  9. Exam image patient key ACL ... WP10 demonstration overview 1. Query the medical image database and retrieve a patient image Medical images Metadata 2. Compute similarity measures over the database images Submit 1 job per image 3. Retrieve most similar cases Similar images Low score images

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