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Bill McQuay Technical Advisor Air Force Research Laboratory AFRL/RYT Approved for Public Release

The Collaboration Grid: Trends for Next Generation Distributed Collaborative Modeling and Simulation Environments. Bill McQuay Technical Advisor Air Force Research Laboratory AFRL/RYT Approved for Public Release. Outline. Introduction The M&S Collaboration Continuum

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Bill McQuay Technical Advisor Air Force Research Laboratory AFRL/RYT Approved for Public Release

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  1. The Collaboration Grid:Trends for Next GenerationDistributed Collaborative Modeling and Simulation Environments Bill McQuay Technical Advisor Air Force Research Laboratory AFRL/RYT Approved for Public Release

  2. Outline • Introduction • The M&S Collaboration Continuum • Distributed Collaborative Environment for Systems Engineering • Polymorphic Collaboration • Conclusions

  3. M&S Throughout The Enterprise DoD Vision: • To train & develop doctrine • Formulate operational plans • Assess war fighting situations • Force structuring • Support technology assessment, • system upgrade, prototype and • full scale development Strategy: Circa 1995 • No single M&S system suffices • Establish common framework • Define authoritative environmental, system, and behavioral representations • Provide supporting infrastructure -- network, model & data repositories • Corporate process for verification, validation, and accreditation • M&S is an integral part of system maturation • Models grow in detail & fidelity as program progresses

  4. Systems Engineering • Systems Engineering and Systems Analysis are crucial for modern RDT&E • Especially important as move from platform-centric to system of systems and net-centric development • Focus on the methodology to solve problems using quantitative approaches • Represent the real world as models and simulations, • Employ those models for analysis and synthesis • Data, Information, & Knowledge are key ingredients “Life was simple before World War II. After that, we had systems.” Adm Grace Hopper (1987)

  5. 1930 1940 1950 1960 1970 1980 1990 2000 CE Simulated Squadron Technology Models Campaign HUD Radar Aero Live Weapon Systems Pilot Engine Missile Mission Engagement 1800 1800 Engineering Manned Simulators Hardware Component Standalone Discrete Models (70’s) Federated Model Hierarchy (80’s) Integrated M&S Systems (90’s) Information Technology Web/Network Workstation/Servers Mainframe PC 1 Modeling & Simulation Technology Trends Standalone Federated Integrated Collaborative Janus CBS TACWARS TACSIM JWARS ALSP OperationsResearchformalizedMath Models Vector Carmonette THUNDER JSIMS Web M&S EADSIM SUPPRESSOR TACOS MECCA MPACT JIMM Sim Based Acquisition Product Models JMASS WSIM ECDES Tempest ALARM Non Real-Time Simulation HLA DIS SIMNET OPNet MatLab SimuLink SAMS ESAMS GEMM WARSIM Cast Forem NSS RESA Brawler NASM Distributed Collaborative Simulation JECEWSI AWSIM Collaborative (2000’s)

  6. The Model & Simulation Pyramid Time Span Resolution Function Increasing Aggregation Strategic Outcome - Policy & Planning - Econometrics - Effectiveness Analysis - Training & Rehearsal Weeks to Days Hours to Minutes Minutes to Seconds Minutes to Sub-seconds Comparative Results Tactical Outcome (Groups of Systems) - Test & Evaluation - Design - Manufacturing - Cost - Technology Req’ts - Labs (Many-on-Many) Product Performance (One-on-One) Scientific/Engineering Subsystem/Component/ Science & Technology) Actual Performance AFI 16-1002, “MODELING AND SIMULATION (M&S) SUPPORT TO ACQUISITION”, 1 June 2000 “The vision for M&S support to acquisition is to have a process enabled by robust, collaborative use and re-use of M&S technology that is integrated across acquisition phases and programs.” Increasing Resolution

  7. Lab Program Definition & Risk Reduction Engineering Concept Production, Deployment, & Support Technology Manufacturing Exploration Development Development Digital Modeling and Simulation Component Measurement Facility Testing Technology Integration System Integration Lab Testing S I L Lab Testing Technology People/ Hardware-in-the-loop System Testing HITL Testing Installed Technology Installed System Testing Demonstrations Open Air Field/Open Air Range System Testing Technology Demonstrations Continuous feedback for Verification & Validation The DoD Acquisition & Test Process

  8. CE CE Distributed Collaborative Technology Complements Simulation End-State Collaboration of Distributed Disciplines Today Disparate Collection of Dispersed Disciplines Collaborative Technologies Distributed Collaborative Environment (DCE) • Distributed Training • Test & Evaluation • Research & Engineering • Design & Production Stovepipes & Discontinuities

  9. Features of Future Technologies • Standards Based Architectures • Extensibility • Scalability • Intelligent Agents • Knowledge Centric • Advanced Workflow Resource Control • Product/Process Focused Organization Support • Variable Thickness User Interface Clients

  10. DCE Implementing Systems Engineering • Access Electronic Versions of Documents • Maintain document and software • Configuration control • Tailored Content Presentation Dependent • on Mission Needs • Data Translation across Domains • Product Data Modeling & Workflow • Monitor progress of tasking & alert • Personnel on variances • Remotely activate applications such as • simulations or applications • Desktop Electronic Conferencing for • Document Creation & Discussion

  11. Better Information Earlier 80% of Affordability Decisions Occur Prior to Detailed Design in Aerospace Products Ability to Influence Product Cost 100 75 50 Knowledge Curve of Product and Details 25 Most Development Costs Occur During Detailed Design Conceptual Preliminary Detailed Production Design Design Design

  12. Everything is a Web Service • Every resource is implemented as a Web Service • Computers, Supercomputers, Servers • Terabyte Repository • Applications like Microsoft Word are XML based • XML based messages exchanged among other web services, resources, and users • World Wide Web Consortium Standards • Web Services Definition Language (WSDL) • Simple Object Access Protocol (SOAP) • Universal Description Discovery & Integration (UDDI) • Web Services Flow Language (WSFL) • Web Services for Remote Portals (WSRP) • XML based General Session Protocol (XGSP)

  13. Polymorphic Collaboration • Multiple heterogeneous resources • Human to Human • Human to Machine • Machine to Machine • Adjust session based on client • and network characteristics • Reuse user profiles for future • sessions • Cognitive User Interfaces • to learn user preferences based • on usage Collaboration at the Touch of the Screen

  14. Transforming to a Grid/ Web-based Architecture Client / Server Grid Client (Layer 4) (Layer 3) (Layer 2) (Layer 1) Grid/ Web Services

  15. Conclusions • Grid-based web services for next • generation net-centric systems • Pervasive net centric information & knowledge sharing • Multiple heterogeneous resources • -- Human to human • -- Human to machine • -- Machine to machine • New Impetus for Next Gen Systems • Web Services & Community Grid • Pervasive Information & Knowledge Sharing • Part of the Global Grid

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