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Data, Visualization and Scheduling (DVS)

Data, Visualization and Scheduling (DVS). TeraGrid Annual Meeting, April 2008 Kelly Gaither, GIG Area Director DVS. Data. The TeraGrid handles data through a combination of activities that fall into data movement, data management, and data collections.

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Data, Visualization and Scheduling (DVS)

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  1. Data, Visualization and Scheduling (DVS) TeraGrid Annual Meeting, April 2008 Kelly Gaither, GIG Area Director DVS

  2. Data • The TeraGrid handles data through a combination of activities that fall into data movement, data management, and data collections. • Deployed both the data movement and GPFS-WAN kits. • All activities are coordinated through two working groups: • Data Working Group (led by Chris Jordan – was at SDSC, now at TACC) • Data Collections Working Group (led by Natasha Balac – SDSC)

  3. Data Movement • Deployed new GridFTP services (including instrumentation for improved monitoring – in support of efforts in the Operations group) • Significant testing of GridFTP and RFT releases (base functionality and new features) were performed by the data movement performance group at PSC. • Worked with Science Gateways/LEAD/Globus on improving GridFTP reliability on striped and non-striped servers.

  4. Data Management • Completed the expansion of the storage and redesign of the GPFS-WAN service. • Expanded GPFS-WAN production availability to include IU BigRed and NCAR Frost. • Continued work on Lustre-WAN, including initial testing of cross-site authentication. • Explored TG wide licensing structure for GPFS-WAN.

  5. Data Collections • Creation and deployment of TeraGrid wide allocation policy for long term storage of data on disk (led by IU and SDSC). • Initial definition completed of services for Data Collections (primarily interface-oriented, i.e., JDBC).

  6. Visualization • Activities are coordinated through the Visualization working group (led by Mike Papka - ANL, and Kelly Gaither - TACC). • Work specifically focused on the TeraGrid Visualization Gateway: • Improved data management portlet added. • Enabled full access for TeraGrid users. • Progress made on dynamic accounting for community allocations, but not completely finished. • Incorporated volume rendering capability. • Working with RP’s to include software being developed locally.

  7. Scheduling • All activities are coordinated through the scheduling working group (led by Warren Smith – TACC). • General approach and methodology taken by the working group: • Identify capabilities needed by users • Deploy tools that provide these capabilities in test beds for evaluation • Select tools, then document, deploy, and support in production • Current areas of work • Urgent or on-demand computing • SPRUCE • Advance reservation and co-scheduling • GUR, HARC, GARS • Automatic resource selection • Moab, Gridway, Condor-G, GRMS, MCP • BQPS

  8. SPRUCE Achievements Coordinated a CTWatch edition on Urgent Computing to bring more awareness (http://www.ctwatch.org/quarterly) Roadmap LEAD/SPRUCE real time spring urgent runs (April 14 -June 6, 2008) on TeraGrid Made SPRUCE WS-GRAM compatible on all resources Moved SPRUCE into production as a CTSS component Challenges Working on experimenting with differentiated pricing: Need more active participation from the resource providers with regards to urgency policies and differentiated pricing

  9. Advanced Reservation and Co-Scheduling • Reserve resources on one or more systems at specific times • Evaluating 3 tools • GUR (SDSC) supports reservation and co-scheduling • HARC (LSU) supports reservation and co-scheduling • GARS (UC/ANL) supports reservation • Major accomplishments in 2007 • GUR deployed in production at SDSC and NCSA and in test bed form at UC/ANL • HARC deployed in production at LSU and in test bed form at NCSA and SDSC • Plans for 2008 • Deploy tools on additional systems as a test bed • Evaluate and select tools (input from users and sys admins) • Deploy selected tools in production

  10. Automatic Resource Selection • Select which system to use for a job in an automatic manner • Evaluating several tools • Moab, Gridway, GRMS, Condor-G, MCP • Major accomplishments in 2007 • Moab deployed across systems at NCSA • Initial Gridway and Condor-G deployments on a GIG server • Plans for 2008 • Deploy more of the tools and deploy them on additional systems • Evaluate and select tools (input from users and sys admins) • Deploy selected tools in production • Challenges • Obtaining the information needed to make good resource selections (e.g. static resource descriptions, dynamic load information) • Working with software working group to make more information available about TeraGrid systems

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