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Remote Sensing Ground Stations and Network-Centric Operations. NCOIC Plenary Ground Systems Working Group Reston, VA Aug 1-3, 2006. Dr. Craig A. Lee, lee@aero.org The Aerospace Corporation. Grid Computing : Building on WS. Grids rely on WS for many fundamental capabilities
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Remote Sensing Ground Stations and Network-Centric Operations NCOIC PlenaryGround Systems Working GroupReston, VAAug 1-3, 2006 Dr. Craig A. Lee, lee@aero.org The Aerospace Corporation
Grid Computing: Building on WS • Grids rely on WS for many fundamental capabilities • Svc desc., protocols, metadata schema, discovery, … • … and builds on them to address general, distributed computing system issues: • Management of State (WS Resource Framework) • Notification (WS Notification) • Lifetime Management • Virtual Organizations (aka Communities of Interest) • Resource Virtualization (processors, data, etc.) • Co-Scheduling (scheduling set of resources) • Advance Reservations (doing so ahead of time) • Workflow Management (centralized and distributed) • Workflow planning • Agent Frameworks
Tremendous Activity Across Many Standards Developing Organizations • Global Grid Forum (GGF, www.ggf.org) • Enterprise Grid Alliance (EGA) • Note: GGF and EGA have publicly announced their intent to merge • World Wide Web Consortium (W3C) • Organization for the Adv. of Structured Information Standards (OASIS) • Distributed Management Task Force (DMTF) • Storage Networking Industry Association (SNIA) • Tele Management Forum (TMF) • Internet Engineering Task Force (IETF) • International Telecommunication Union (ITU-T)
Ground Systems-Related Standards Activities • OMG Space Task Force • CEOS WGISS Grid Team • Committee on Earth Observation Systems, Working Group on Information Systems • CCSDS • (Consultative Committee on Space Data Systems) • How can the National Security Space and NCO communities leverage all this activity to produce netcentric ground systems?
New Book (in press) • High-Performance Computing in Remote Sensing • CRC Press, Plaza and Chang, eds. • Section III. Large-Scale and Heterogeneous Distributed Computing • Preface. Introduction to Grid computing • Craig Lee, The Aerospace Corporation • Chapter 11. Grid Computing for Remote Sensing Data and Data Analysis • Samuel D. Gasster, Craig Lee and James Palko, The Aerospace Corporation.
Notional Ground System Architecture Elements • Observing Elements • In-situ sensors, ground based, airborne and spaceborne instruments that collect the basic environmental measurements • Data Management Elements • Data transport, storage, archive discovery and distribution • Data Processing and Utilization Elements • User applications, modeling and assimilation, forecasting, etc. • Communications, Command and Control Elements • Resources that allow all elements to work together • Includes interaction and feedback between any of the sensor web elements • Core Infrastructure • Underlying resources needed to tie all elements together, including networks, communication links, etc.
Notional Weather Forecasting and Climate Science Ground System
Earth Observation and Ground Systems Session at the Open Grid Forum • GGF-18 • Washington, D.C., Convention Center • Sept. 11-14, 2006 • Held in conjunction with GlobusWorld and GridWorld • EO and GS session • Sept. 12, 10 AM, Room 147A • Earth Observation systems, and satellite systems in general, require extensive distributed ground systems for the processing, dissemination and archiving of data. This session will explore the use of grids and service architectures for the design of new ground systems and the integration of legacy systems.