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High Throughput Urgent Computing

Condor Week 2008. High Throughput Urgent Computing. Jason Cope jason.cope@colorado.edu. Project Collaborators. Argonne National Laboratory / University of Chicago Pete Beckman Suman Nadella Nick Trebon University of Wisconsin-Madison Ian Alderman Miron Livny. Urgent Computing Use Cases.

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High Throughput Urgent Computing

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  1. Condor Week 2008 High Throughput Urgent Computing Jason Cope jason.cope@colorado.edu

  2. Project Collaborators • Argonne National Laboratory / University of Chicago • Pete Beckman • Suman Nadella • Nick Trebon • University of Wisconsin-Madison • Ian Alderman • Miron Livny

  3. Urgent Computing Use Cases

  4. High Throughput Urgent Computing • Urgent computing provides immediate, cohesive access to computing resources for emergency computations • Support for urgent high throughput computing environments is necessary • Support for high throughput emergency computing applications • Urgent cycle scavenging

  5. Resources for Urgent Computing Environments

  6. SPRUCE • Special PRiority Urgent Computing Environment (SPRUCE) • TeraGrid Science Gateway • http://spruce.teragrid.org • GOAL: Provide cohesive urgent computing infrastructure for emergency computations • Authorization • Resource Selection • Resource Allocation

  7. Event Automated Trigger 2 First Responder SPRUCE Gateway / Web Services 1 Right-of-Way Token Human Trigger Right-of-Way Token SPRUCE Architecture Overview ( 1 / 2 ) Source: Pete Beckman, ‘SPRUCE: An Infrastructure for Urgent Computing’

  8. SPRUCE Architecture Overview ( 2 / 2 ) User Team Authentication 4 ? Urgent Computing Job Submission Conventional Job Submission Parameters Priority Job Queue Choose a Resource SPRUCE Job Manager 3 ! 5 Local Site Policies Urgent Computing Parameters Supercomputer Resource Source: Pete Beckman, ‘SPRUCE: An Infrastructure for Urgent Computing’

  9. SPRUCE Resources • Deployed on TeraGrid resources at IU, NCSA, NCAR, Purdue, TACC, SDSC, UC/ANL • Supported Resource Managers • PBS • PBS Pro • LSF • SGE • LoadLeveler • Cobalt • Local and Grid resource managers supported

  10. SPRUCE and Condor User Team Authentication ? Urgent Computing Job Submission Conventional Job Submission Parameters Choose a Resource SPRUCE Job Manager 3 ! 4 Local Site Policies Urgent Computing Parameters Condor Pool Adapted from Pete Beckman, ‘SPRUCE: An Infrastructure for Urgent Computing’

  11. SPRUCE / Condor Integration • Added support for urgent computing ClassAds • SPRUCE_URGENCY • SPRUCE_TOKEN_VALID • SPRUCE_TOKEN_VALID_CHECK_TIME • Modifications to the Condor schedd that support identifying SPRUCE jobs • SPRUCE Grid ASCII Helper Protocol (GAHP) Server • Asynchronously invoke SPRUCE Web service operations • GAHP calls integrated into the Condor schedd

  12. SPRUCE / Condor Integration

  13. SPRUCE / Condor Integration • SPRUCE provides an authorization mechanism for access to Condor resources • “Right-of-Way” access to Condor resources • Same authorization infrastructure for supercomputer and Grid resource access • Leverage existing Condor features to enhance scheduling policies • Job ranking / suspension / preemption • Site administrators define local scheduling policies

  14. SPRUCE / Condor Status • Prototype complete August, 2007 • Demonstrated urgent authorization and scheduling capabilities • Deployed and tested on equipment at the University of Colorado • Currently revising the prototype for a stable software release • Condor 7.0 support • Final software development iteration before official release • Evaluation of SPRUCE-related software integrated into larger Condor pools

  15. Future Work • High throughput support for urgent computing applications • SURA SCOOP CH3D Grid Appliance • Many additional evaluation tasks • Application requirements • Security • Deadline scheduling / response time • Reliability / fault tolerance analysis • Data management

  16. High Throughput Urgent Computing Questions? jason.cope@colorado.edu http://spruce.teragrid.org

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