1 Open Science Grid: Project Statement & Vision Transform compute and data intensive science through a cross- domain self-managed national distributed cyberinfrastructure that brings together campus and community infrastructure facilitating the research of Virtual Organizations at all scales. VO Jobs Running on OSG in 2006

2 Why the effort is important: Sustained growth in the needs of traditional compute and data intensive science; The steady stream of scientific domains that add and expand the role of computing and data processing in their discovery process; Coupled with the administrative and physical distribution of compute and storage resources and increase in the size, diversity and scope of scientific collaborations. CPU Million Specint2000s Cache Disk in Petabytes Facility (preliminary commitments):

3 Goals of the OSG: Support data storage, distribution & computation for High Energy, Nuclear & Astro Physics collaborations, in particular delivering to the schedule, capacity and capability needed for LHC and LIGO science. Engage and benefit other Research & Science of all scales through progressively supporting their applications. Educate & train students, administrators & educators. Operate & evolve a petascale Distributed Facility across the US providing guaranteed & opportunistic access to shared compute & storage resources. Interface & Federate with Campus, Regional, other national & international Grids (including EGEE & TeraGrid). Provide an Integrated, Robust Software Stack for Facility & Applications, tested on a well provisioned at-scale validation facility. Evolve the capabilities offered by the Facility by deploying externally developed new services & technologies.

4 Challenges: Sociological and Technical Develop the organizational and management structure of an open consortium that drives such a CI. Develop the organizational and management structure for the project that builds, operates and evolves such CI. Maintain and evolve a software stack capable of offering powerful and dependable capabilities to the NSF and DOE scientific communities. Operate and evolve a dependable facility. Boston UniversityBrookhaven National Laboratory California Institute of TechologyColumbia University Cornell UniversityFermi National Accelerator Laboratory Indiana UniversityLawrence Berkeley National Laboratory Rennaisance Computing InstituteStanford Linear Accelerator Center University of California, San DiegoUniversity of Chicago/Argonne National Laboratory University of Florida University of Iowa University of Wisconsin, Madison

5 Software StackSoftware Release Process Grid of Grids: From Local to Global Computational Science: Here, There and Everywhere Global Research & Shared Resources

6 Integrated Network Management Timeline & Milestones (preliminary) LHC Simulations Support 1000 Users; 20PB Data Archive Contribute to Worldwide LHC Computing Grid LHC Event Data Distribution and Analysis Contribute to LIGO Workflow and Data Analysis +1 Community Additional Science Communities +1 Community Facility Security : Risk Assessment, Audits, Incident Response, Management, Operations, Technical Controls Plan V11st AuditRisk Assessment AuditRisk Assessment AuditRisk Assessment AuditRisk Assessment VDT and OSG Software Releases: Major Release every 6 months; Minor Updates as needed VDT 1.4.0VDT 1.4.1VDT 1.4.2………… Advanced LIGO LIGO Data Grid dependent on OSG CDF Simulation STAR, CDF, D0, Astrophysics D0 Reprocessing STAR Data Distribution and Jobs 10KJobs per Day D0 Simulations CDF Simulation and Analysis LIGO data run SC5 Facility Operations and Metrics: Increase robustness and scale; Operational Metrics defined and validated each year. Interoperate and Federate with Campus and Regional Grids Project startEnd of Phase I End of Phase II VDT Incremental Updates dCache with role based authorization OSG 0.6.0OSG 0.8.0OSG 1.0OSG 2.0OSG 3.0… AccountingAuditing VDS with SRM Common S/w Distribution with TeraGrid EGEE using VDT 1.4.X Transparent data and job movement with TeraGrid Transparent data management with EGEE Federated monitoring and information services Data Analysis (batch and interactive) Workflow Extended Capabilities & Increase Scalability and Performance for Jobs and Data to meet Stakeholder needs SRM/dCache Extensions “Just in Time” Workload Management VO Services Infrastructure Improved Workflow and Resource Selection Work with SciDAC-2 CEDS and Security with Open Science +1 Community Community