1. Grid Leadership Avery –PI of GriPhyN ($11 M ITR Project) –PI of iVDGL ($13 M ITR Project) –Co-PI of CHEPREO –Co-PI of UltraLight –President of SESAPS Ranka –PI of Data Mining & exploration Middleware for Grid and Distributed Computinhg ($1.5 M ITR Project) –Project Co-lead for Sphinx –Senior Personnel on CHEPREO –PI MRI Bourilkov –Project Lead for CAVES and CODESH Cavanaugh –Project Coordinator for UltraLight –Deputy Coordinator for GriPhyN –Project Co-Lead for Sphinx Prescott –Co-organised the Boston OSG Technical Workshop –US-CMS Production Manager Rodriguez –Deputy Coordinator for iVDGL –Deployment Board Co-chair for OSG KIM –Project Lead for GridCAT

2. Sphinx Sphinx is a Grid Scheduler for Data Intensive Applications –Accounts for CPU, Storage, Band Width Resources Scheduling decisions based on global views providing a Quality of Service –Particularly in a resource limited environment Extensible, flexible framework Co-Led by Ranka and Cavanaugh Expected Ph.D. Theses : –In (Quality of Service), –Chitnis (Global Views), –Kulkarni (High Bandwidth Applications) VDT Server VDT Client ? Recommendation Engine

3. CAVES & CODESH Concentrate on the interactions between scientists collaborating over extended periods of time Seamlessly log, exchange and reproduce analysis results (and the corresponding methods, algorithms and programs) –Automatic and complete logging –reuse of work or analysis sessions Enable users to work in their habitual way –giving them virtual data capabilities –Build collaboration suites (stay close to users!) Led by Bourilkov First prototypes use popular tools: Python, ROOT and CVS; e.g. all ROOT commands and CAVES commands available

4. Publications Computing in High Energy Physics –Virtual Data in CMS Analysis (2003, Bourilkov) –Virtual Data in CMS Production (2003, Cavanaugh) –UF Proto T2 Facility (2004, Rodriguez et al) –GridCAT (2004, Kim) –Sphinx (2004, In et al) The GRID II (ed. Foster, Kesselman) –Federated Analysis for High Energy Physics (2003, Graham, Cavanaugh et al) International Parallel and Distributed Processing Symposium 2004 –Policy Based Scheduling for Simple Quality of Service in Grid Computing (2004, In et al)