1. 1 ANABAS Use of Grids in DoD Applications Geoffrey Fox, Alex Ho SAB Briefing November 16, 2005

2. 2 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.

3. 3 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)

4. 4 DoD Core Services and WS-* plus GS-* I NCOW Service or FeatureWS-* Service areaGGFOthers A: General Principles Use Service Oriented ArchitectureWS-1: Core Service Model Build Grids on Web Services Industry Best Practice (IBM, Microsoft …) Grid of Grids CompositionLegacy subsystems and modular architecture B: NCOW Core Services (to be continued) CES 1: Enterprise Services Management WS-8 ManagementGS-6: ManagementCIM CES 2: Information Assurance(IA)/Security WS-5 WS-Security GS-7 Security (Authorization) Grid-Shib, Permis Liberty Alliance etc. CES 3: MessagingWS-2, WS-3 Service Internet Notification NaradaBrokering, Streaming/Sensor Technologies CES 4: DiscoveryWS-6 UDDIExtended UDDI CES 5: MediationWS-4 WorkflowTreatment of Legacy systems. Data Transformations CES 6: CollaborationShared Web ResourcesAsynchronous Virtual Organizations XGSP, Shared Web Service ports, Anabas CES 7: User assistanceWS-10 PortletsGridSphereNCOW Capability Interfaces, JSR168

5. 5 DoD Core Services and WS-* and GS-* II NCOW Service or FeatureWS-* Service areaGGFOthers B: NCOW Core Services Continued CES 8: Storage (not real-time streams) GS-4 DataNCOW Data Strategy CES 9: ApplicationGS-2; invoke GS-3Best Practice in building Grid/Web services (proxy or direct) Environmental Control Services ECS WS-9 Policy C: Key NCOW Capabilities not directly in CES System Meta-dataWS-7Semantic Grid Globus MDS C2IEDM, XBML, DDMS, WFS Resource/Service Matching/Scheduling Distributed Scheduling and SLA’s (GS-3) Extend computer scheduling to networks and data flow Sensors (real-time data)Work startingOGC Sensor standards Geographical Information Systems GIS OGC GIS standards

6. 6 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

7. 7 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

8. 8 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.

9. 9 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

10. 10 I: Data Mining and GIS Grid WMS handling Client requests WMS Client UDDI WFS2 Databases with NASA, USGS features SERVOGrid Faults WFS1 NASA WMS HTTP SOAP WFS3 Data Mining Grid WMS Client

11. 11 I: Data Mining Grid HPSearch Workflow UDDI Databases with NASA,USGS features SERVOGrid Faults WFS4 SOAP WS-Context WFS3 PI Data Mining Filter GIS Grid Filter Narada Brokering Pipeline System Services

12. 12 Hot spots calculations-- areas of increased earthquake probability in the forecast time-- calculations are re-plotted on the map as features.

13. 13 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

14. 14 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.

15. 15 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

16. 16 Collaborative Google Maps with faults from WFS

17. 17 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

18. 18 Collaboration Grid UDDI Narada Broker HPSearch WS-Context Gateway WS-Security Narada Broker Gateway XGSP Media Service Video Mixer Transcoder Audio Mixer Replay Record Annotate Thumbnail WhiteBoard SharedDisplay SharedWS

19. 19 GlobalMMCS SWT Client Chat TV WebcamVideo Mixer GIS

20. 20 e - Annotation Player Archived stream player Annotation / WB player Archieved stream list Real time stream list e - Annotation Whiteboard Real time stream player Archived Real Time Real Time Stream List Stream List Player e-Annotation Archived Stream Annotated e-Annotation Player Player Stream Player Whiteboard