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State-of-the-art,  Relevance,  and  Research  Challenges in Distributed Simulation (DS) and Distributed Virtual Environments (DVE) Rafaela Vilela da Rocha VIII Workshop LRVNet  18/12/2009
Future Trends in Distributed Simulation and Distributed Virtual Environments: Results of a Peer Study Steffen Strassburger  School of Economic Sciences - Ilmenau University of Technology Ilmenau, GERMANY Thomas Schulze  School of Computer Science - University of Magdeburg  Magdeburg, GERMANY  Richard Fujimoto   Computational Science & Engineering - Georgia Institute of Technology Atlanta, U.S.A Proceedings of the 2008 Winter Simulation Conference
Survey Conducted in the period from September 15, 2007 until October 15, 2007 Consisted of two parts: 1) Evaluation of the relevanceof the technologies (DS/DVE) today and in future 08 questions 2) Research Challenges and Trends  09 questions
Questions classification questions- scale from 0 to 5 5 very high 4: high 3 medium 2: low 1: very low 0: none open questions- possibilities to comment
61 individuals completed the survey questionnaire Classification of Participants with regard to their Organization Relationship of Participants to DS/DVE Technologies Relationship of Participants to Countries
1) Evaluation of the relevanceof the technologies (DS/DVE) today and in future
Applications 1: DVEs for improving the communication between company sites 2: Distributed Training Sessions 3: Joining computer resources for complex distributed simulations 4: Integrating heterogeneous resources for DS 5: Distributed Design Reviews 6: DVEs as a replacement of video conferencing technologies 7: DVEs as an enhancement of video conferencing technologies Others relevant: Area of production planning and control Area of product development
The current adoption of the technologies in industry and defense Defense Technological  barriers Organizational issues Industry A lack of good technical solutions The need  for more basic research Current Adoption
Economic Potencial Average = 3.7 Defense Mission training  and  rehearsal Decision  support Technology acquisition Industry Manufacturing sector Product development  Distance  learning technologies “Killer” Applications ,[object Object]
Virtual Training Applications in general
Command and Control tool for remote operations,  especially  in  space  exploration  missions
Virtual Meetings
Industrial Supply Chain Simulation ,[object Object]
DS/DVE Standards and Protocols * they were known by a minority of participants The most critical issue  HLA:  Poor Scalability  Covers only syntactic interoperability (not semantic) DIS: Limited conceptual versatility (i.e. only applicable to real-time simulations)  Restriction to a single domain (military training simulations)
Base Technologies 1: Network technologies  2: Distributed Simulation Middleware  3: Human-Computer-Interfaces  4: Semantic Web (to support semantic interoperability) 5: Graphics Hardware  6: High Performance Computing      the fields rated as the most promising areas of research
“Grand Challenges”  Solving  the  intrinsic  conflict  between  desire  for high  interactivity  /  response  times  and  the  need for maintaining consistency in DVEs   Easy  to  use  synchronization  algorithms  which idealistically solve the "zero lookahead problem"  True plug-and-play capability  Automatic  or  semi-automatic  semantic  interoperability  between  domains  (ontologies,  standard reference models, metamodels)
Trends Increasing popularity of Personal Computing Devices   Service oriented architectures  Ambient networks  Open source solutions  Rising importance of homeland security and critical infrastructure protection  Ubiquity of visual media  Expectation of instant easy communication (cell phone,      I-pod, email, …)  Augmented reality systems  Introduction of haptic and other multimodal interfaces
Solutions SISOdraft standard for Simulation Package Interoperability  German Armed Forces' Simulation & Test Environment (SuTBw)  VBS2.com (Virtual Battlespace 2)  HLA (High Level Architecture for Modeling and Simulation)  MDA(Model Driven Architecture)  DEVS (Discrete Event System Specification)
Actors/Participants Gaming Industry  Defense Agencies (US DOD, German Armed Forces' IT-Agency)  SISO(Simulation Interoperability Standards Organization)  Marketing Decision Makers
HLA Compliant Training Simulations Creation Tool  ROCHA, R. V. ; ARAUJO, R. B. ; CAMPOS, M. R. ; BOUKERCHE, A. . HLA Compliant Training Simulations Creation Tool. In: The 13-th ACM(*) International Symposium on Distributed Simulation and Real Time Applications (DS-RT 2009), 2009, Singapore. The 13-th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2009.
Architecture to Support the Creation of Emergency Management Training Simulation P H YS I C A L    W O R L D (1) Develop  Simulation Model HLA compliant Simulation Repository Physical Engine Simulations Creation Tool Human Engine C O N C E P T U A L  W O R L D other engines Ontologies F E D E R A T I O N (2) Execute  Simulation Model FDD DB Simulation Controller / Monitor RTI X3D DB X3D  Visualizer Context DB V I R T U A L W O R L D … (3) Analyse Output Services Middleware  (MidSensorNet) Simulation Output Analyser Tool Output Repository R E P O R T S

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Distributed Simulation Research Trends

  • 1. State-of-the-art, Relevance, and Research Challenges in Distributed Simulation (DS) and Distributed Virtual Environments (DVE) Rafaela Vilela da Rocha VIII Workshop LRVNet 18/12/2009
  • 2. Future Trends in Distributed Simulation and Distributed Virtual Environments: Results of a Peer Study Steffen Strassburger School of Economic Sciences - Ilmenau University of Technology Ilmenau, GERMANY Thomas Schulze School of Computer Science - University of Magdeburg Magdeburg, GERMANY Richard Fujimoto Computational Science & Engineering - Georgia Institute of Technology Atlanta, U.S.A Proceedings of the 2008 Winter Simulation Conference
  • 3. Survey Conducted in the period from September 15, 2007 until October 15, 2007 Consisted of two parts: 1) Evaluation of the relevanceof the technologies (DS/DVE) today and in future 08 questions 2) Research Challenges and Trends 09 questions
  • 4. Questions classification questions- scale from 0 to 5 5 very high 4: high 3 medium 2: low 1: very low 0: none open questions- possibilities to comment
  • 5. 61 individuals completed the survey questionnaire Classification of Participants with regard to their Organization Relationship of Participants to DS/DVE Technologies Relationship of Participants to Countries
  • 6. 1) Evaluation of the relevanceof the technologies (DS/DVE) today and in future
  • 7. Applications 1: DVEs for improving the communication between company sites 2: Distributed Training Sessions 3: Joining computer resources for complex distributed simulations 4: Integrating heterogeneous resources for DS 5: Distributed Design Reviews 6: DVEs as a replacement of video conferencing technologies 7: DVEs as an enhancement of video conferencing technologies Others relevant: Area of production planning and control Area of product development
  • 8. The current adoption of the technologies in industry and defense Defense Technological barriers Organizational issues Industry A lack of good technical solutions The need for more basic research Current Adoption
  • 9.
  • 11. Command and Control tool for remote operations, especially in space exploration missions
  • 13.
  • 14. DS/DVE Standards and Protocols * they were known by a minority of participants The most critical issue HLA: Poor Scalability Covers only syntactic interoperability (not semantic) DIS: Limited conceptual versatility (i.e. only applicable to real-time simulations) Restriction to a single domain (military training simulations)
  • 15. Base Technologies 1: Network technologies 2: Distributed Simulation Middleware 3: Human-Computer-Interfaces 4: Semantic Web (to support semantic interoperability) 5: Graphics Hardware 6: High Performance Computing the fields rated as the most promising areas of research
  • 16. “Grand Challenges” Solving the intrinsic conflict between desire for high interactivity / response times and the need for maintaining consistency in DVEs Easy to use synchronization algorithms which idealistically solve the "zero lookahead problem" True plug-and-play capability Automatic or semi-automatic semantic interoperability between domains (ontologies, standard reference models, metamodels)
  • 17. Trends Increasing popularity of Personal Computing Devices Service oriented architectures Ambient networks Open source solutions Rising importance of homeland security and critical infrastructure protection Ubiquity of visual media Expectation of instant easy communication (cell phone, I-pod, email, …) Augmented reality systems Introduction of haptic and other multimodal interfaces
  • 18. Solutions SISOdraft standard for Simulation Package Interoperability German Armed Forces' Simulation & Test Environment (SuTBw) VBS2.com (Virtual Battlespace 2) HLA (High Level Architecture for Modeling and Simulation) MDA(Model Driven Architecture) DEVS (Discrete Event System Specification)
  • 19. Actors/Participants Gaming Industry Defense Agencies (US DOD, German Armed Forces' IT-Agency) SISO(Simulation Interoperability Standards Organization) Marketing Decision Makers
  • 20. HLA Compliant Training Simulations Creation Tool  ROCHA, R. V. ; ARAUJO, R. B. ; CAMPOS, M. R. ; BOUKERCHE, A. . HLA Compliant Training Simulations Creation Tool. In: The 13-th ACM(*) International Symposium on Distributed Simulation and Real Time Applications (DS-RT 2009), 2009, Singapore. The 13-th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2009.
  • 21. Architecture to Support the Creation of Emergency Management Training Simulation P H YS I C A L W O R L D (1) Develop Simulation Model HLA compliant Simulation Repository Physical Engine Simulations Creation Tool Human Engine C O N C E P T U A L W O R L D other engines Ontologies F E D E R A T I O N (2) Execute Simulation Model FDD DB Simulation Controller / Monitor RTI X3D DB X3D Visualizer Context DB V I R T U A L W O R L D … (3) Analyse Output Services Middleware (MidSensorNet) Simulation Output Analyser Tool Output Repository R E P O R T S
  • 22.
  • 23.
  • 24.
  • 25.
  • 26. Respiratory Protection Reserve EquipmentPerson Vehicle EVENTS Emergency Infrastructure
  • 27. FIRE Strategies 1- Ventilação natural vertical e Nebulização 2- Ataque Indireto 3- Ataque Direto 1 BACKDRAFT store production free area Surrounding risks 2 3 AB ABP VO UT UR veranda reception Characters N WE S Soldier Corporal Sergeant Officer Vehicles AB - Auto-Bomba ABP- Auto-Bomba Plataforma UR - Unidade de Resgate UT - Utilitário VO - Veículo Orgânico W I N D Proof of Concept : A fry chip factory CommandPost
  • 28. Thank you! Rafaela Vilela da Rocha VIII Workshop LRVNet 18/12/2009

Editor's Notes

  1. An architecture and a tool to create HLA compliant training simulations are being desenvolved. The integration of multiple ontologies is used to generate different simulations scenarios. Also context information recorded by the middleware can be used to instantiate training. HLA FDD filesand X3D models are used to create the virtual world visualized by the federated simulation.A modelagem de simulação em nossa arquitetura é dividida em três principais etapas: 1) Desenvolver modelo de simulação: estão envolvidas atividade para criar, integrar e instanciar as ontologias, gerar automaticamente o arquivo FOM e testar a simulação. O módulo Ambiente Criação AVCs é utilizado nesta etapa; 2) Executar modelo de simulação: a federação é criada a partir do modelo de simulação criado na etapa anterior, utilizando o módulo controlador / monitor da simulação, e os trainees podem testar suas habilidades utilizando o módulo Visualizador X3D; e 3) Analisar saídas: o treinador pode visualizar e gerar relatórios de desempenho de cada um dos trainees utilizando o módulo analisador saídas simulação.