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ANABAS Use of Grids in DoD Applications Geoffrey Fox, Alex Ho SAB Briefing November 16, 2005 1 General Message I Our proof of concept demonstrates many of the NCOW core enterprise services (CES) implemented using Grid services built on top of the WS-* Web service industry specifications. We will illustrate the use of the Grid of Grids architecture to integrate heterogeneous systems. The papers describe how all CES can be implemented using Grid technology and this is proposed in phase II SBIR. Note the adherence to standards with a common line protocol SOAP implies that all service implementations are interoperable and one takes services from multiple sources. Anabas/Indiana University only has to implement some of the key Grid services. 2 General Message II: Why Grids Web services gives us interoperability but Grids are essential as we aim at Information Management Grids are the key idea to manage complexity but applying uniform policies and building managed systems Grids of Grids allows one to build out the management in a modular fashion Uniform Grid messaging handles complex networks with managed QoS such as real-time constraints Managed Services and Messaging gives scalability and performance (later slide) 3 DoD Core Services and WS-* plus GS-* I NCOW Service or Feature WS-* Service area GGF Others A: General Principles Use Service Oriented Architecture WS-1: Model Core Service Build Grids Services on Web Grid of Grids Composition Industry Best Practice (IBM, Microsoft …) Legacy subsystems modular architecture and B: NCOW Core Services (to be continued) CES 1: Enterprise Services Management WS-8 Management GS-6: Management CES 2: Information Assurance(IA)/Security WS-5 WS-Security GS-7 (Authorization) CES 3: Messaging WS-2, WS-3 Service Internet Notification CES 4: Discovery WS-6 UDDI CES 5: Mediation WS-4 Workflow CES 6: Collaboration Shared Web Resources Asynchronous Organizations CES 7: User assistance WS-10 Portlets GridSphere CIM Security Grid-Shib, Permis Liberty Alliance etc. NaradaBrokering, Streaming/Sensor Technologies Extended UDDI Treatment of systems. Transformations Virtual Legacy Data XGSP, Shared Web Service ports, Anabas NCOW Capability4 Interfaces, JSR168 DoD Core Services and WS-* and GS-* II NCOW Service or Feature WS-* Service area GGF Others B: NCOW Core Services Continued CES 8: Storage (not real-time streams) GS-4 Data NCOW Data Strategy CES 9: Application GS-2; invoke GS-3 Best Practice in building Grid/Web services (proxy or direct) Environmental Services ECS Control WS-9 Policy C: Key NCOW Capabilities not directly in CES System Meta-data WS-7 Semantic Grid Globus MDS C2IEDM, DDMS, WFS XBML, Resource/Service Matching/Scheduling Distributed Scheduling Extend computer and SLA’s (GS-3) scheduling to networks and data flow Sensors (real-time data) Work starting Geographical Systems GIS Information OGC Sensor standards OGC GIS standards 5 Major Conclusions I One can map 7.5 out of 9 NCOW and GiG core capabilities into Web Service (WS-*) and Grid (GS-*) architecture and core services • Analysis of Grids in NCOW document inaccurate (confuse Grids and Globus and only consider early activities) Some “mismatches” on both NCOW and Grid sides GS-*/WS-* do not have collaboration and miss some messaging NCOW does not have at core level system metadata and resource/service scheduling and matching Higher level services of importance include GIS (Geographical Information Systems), Sensors and data-mining 6 Major Conclusions II Criticisms of Web services in a recent paper by Birman seem to be addressed by Grids or reflect immaturity of initial technology implementations NCOW does not seem to have any analysis of how to build their systems on WS-*/GS-* technologies in a layered fashion; they do have a layered service architecture so this can be done • They agree with service oriented architecture • They seem to have no process for agreeing to WS-* GS-* or setting other standards for CES Grid of Grids allows modular architectures and natural treatment of legacy systems 7 Performance Reduction of message delay jitter to a millisecond. Dynamic meta-data access latency reduced from seconds to milliseconds using web service context service. The messaging is distributed with each low end Linux node capable of supporting 500 users at a total bandwidth of 140 Mbits/sec with over 20,000 messages per second. Systematic use of redundant fault tolerance services supports strict user QoS requirements and fault tolerant Grid enterprise bus supports collaboration and information sharing at a cost that scales logarithmically with number of simultaneous users and resources. Supporting N users at the 0.5 Mbits/sec level each would require roughly (N/500)log(N/500) messaging servers to achieve full capability. 8 Script I: Data Mining and GIS Grid This will show a set of Open Geospatial Consortium (OGC) compatible services implementing a GIS (Geographical Information System) grid supporting streaming of feature and map data. Intrinsic features of a region are supplemented here by features coming from a data-mining code that is filtering data to predict likely earthquake positions. This uses discovery, metadata, database, workflow, messaging, data transformation, simulation (data-mining) services. Note the OGC compatible WFS (Web Feature Service) plays role as a domain specific service interface to a database This used by Los Alamos for DHS simulations replacing data mining by critical infrastructure simulations 9 I: Data Mining and GIS Grid Databases with NASA, USGS features SERVOGrid Faults WFS1 UDDI Data Mining Grid WFS3 WFS2 NASA WMS WMS handling Client requests SOAP WMS WMS Client Client HTTP 10 I: Data Mining Grid Databases with NASA,USGS features SERVOGrid Faults UDDI WFS4 SOAP Pipeline Filter PI Data Mining HPSearch Workflow Filter WS-Context Narada Brokering System Services WFS3 GIS Grid 11 Hot spots calculations-areas of increased earthquake probability in the forecast time-calculations are re-plotted on the map as features. 12 Script I: Google Map Grid Service This first demo also illustrates how the Google map system can be wrapped as a Grid itself front-ended by a OGC Web Map Service. This is used in a Grid of Grids fashion with Google linked with traditional (NASA) Web Map services. Illustrates how linking NCOW to commodity Grid technology allows access to major IT resources • Google’s 100,000 computers • DoD MSRC, DoE, NSF Supercomputers 13 Real Time GPS and Google Maps Subscribe to live GPS station. Position data from SOPAC is combined with Google map clients. Select and zoom to GPS station location, click icons for more information. 14 Script II: Collaborative Grid Service This demonstrates how streams can be formed from messages and managed in a uniform way whether maps or video. Collaboration is achieved by multicasting of the input or output streams to Grid services. Our messaging infrastructure handles all multicasting (using software) transparently to services First we demonstrate collaborative maps using “shared input ports” on web service 15 Collaborative Google Maps with faults from WFS 16 Script III: Collaboration Grid Collaboration uses basic Grid services – metadata, discovery, workflow, security plus the XGSP stream management services. Complex collaboration scenarios correspond to additional services for particular shared applications and to gateways in Grid of Grids fashion to H323, SIP and other protocols. Annotation, record, replay, whiteboards, codec conversion, audio and video mixing become services. We demonstrate MPEG4 transcoding and video mixing services Only Grid Web service based collaboration environment Use of Grids ensures scalability and performance 17 Collaboration Grid WS-Context HPSearch UDDI Narada Broker Audio Mixer Video Mixer Narada Broker WS-Security Gateway XGSP Media Service Narada Broker Gateway SharedWS Transcoder Thumbnail Replay Record Annotate SharedDisplay WhiteBoard 18 GIS TV Chat Video Mixer Webcam GlobalMMCS SWT Client 19 e-Annotation e - Annotation Player Player Archived Archieved stream list Stream List Archived Stream Archived stream Player player Real time Real Time stream list Stream List Annotated Annotation /WB Stream Player player Real time stream player e-Annotation e -Annotation Whiteboard Whiteboard Real Time Player 20