1. OSG Area Coordinator’s Report: Workload Management Maxim Potekhin BNL 631-344-3621 potekhin@bnl.gov May 8 th, 2008

2. 2 Overview Workload Management Accomplishments Since Last Report  Code changes to glexec-enabled Panda Pilot committed to SVN and tested on both BNL and Fermilab sites  Understood the issues of the environment set-up when using glexec, which includes both the OS environment variables and the dynamic change of the working directory  Code enhancements made to the Panda Pilot to accommodate specifics of MPI clusters, with test done at Purdue and NERSC  Finalized the Panda Pilot Factory  EGEE interoperability: had consultations and met in person with EGEE/WLCG personnel regarding the status of LCMAPS/LCAS deployment, which is a pre-requisite to using glexec-enabled pilot jobs in setuid mode (note: in OSG, we are using the GUMS plugin, whose setup has been largely understood prior to that). Developed testing plan for EGEE sites, pending additional development of the LCMAPS network API.

3. 3 Overview Workload Management Current Initiatives:  user support  With Panda Pilot code adapted to MPI running mode and initial testing done at Purdue and NERSC, will shortly contact the CHARMM team to coordinate pre-production validation  Security  Continue to work out configuration and other issues related to glexec integration. Will work to expand testing to WLCG/EGEE sites  increasing robustness of the Panda job aggregation and submission service  Working on Panda Server code review, refactoring, versioning and improvements to installation and configuration procedures  With a new set of hardware available at RACF as a dedicated test platform, we are working towards a comprehensive stress test of Panda service – work in progress

4. 4 Overview Workload Management Issues / Concerns   Current priorities in the OSG Workload Management effort continue to be scalability and security   EGEE interoperability re: glexec? (Need to keep up the effort and cooperation with EGEE)  While Panda already features a comprehensive set of monitoring tools, we need to move towards more user- friendly, efficient Panda interface for VO’s and individual users to increase the OSG’s ability to engage new organizations and researchers

5. 5 WMS in WBS WBS Task InformationIn ChargeFinish DateComment 4.1.2.1 Deliver phase 1 improvements into OSG 1.0Wenaus12/07/07 4.1.9. Support security effort in facility (including GUMS)Wenaus, Potekhin09/30/08Well under way 4.2.1 Support OSG VOs in building, deploying and operating Workload Management Systems (WMS) that are based on just-in time job scheduling and the integration of tools used by these WMS in to the VDT Potekhin09/30/08MPI integration work under way 4.2.1.1 Deliver phase 1 into OSG 1.0Potekhin, Chiu17/03/08?Testing in production to commence 4.2.1.2 Deliver phase 2 into OSG 1.2Potekhin, Caballero06/07/08In progress 4.2.2. Manage the allocation of compute and storage resources allocated to the OSG-ET by OSG sites and/or external resource providers. Potekhin09/30/08Planning phase 4.2.3 Operate and support the hardware upon which the WMS service for OSG VO is instantiated. Ernst09/30/08In progress 4.2.4. Operate and support the WMS service for the OSG VOPotekhin, Caballero09/30/08In progress 4.3.3.1 Job submission, execution and managementGreen09/30/08