DEVS Standard for Modeling and Simulation in Web-Centric Environments

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# DEVS Standard for Modeling and Simulation in Web-Centric Environments - PowerPoint PPT Presentation

DEVS Standard for Modeling and Simulation in Web-Centric Environments. Bernard P. Zeigler Arizona Center for Integrative Modeling and Simulation University of Arizona. Presented at Mosim08: Modélisation, Optimisation et Simulation des Systèmes March 31-April 2 2008 Paris, France .

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## DEVS Standard for Modeling and Simulation in Web-Centric Environments

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1. DEVS Standard for Modeling and Simulation in Web-Centric Environments Bernard P. Zeigler Arizona Center for Integrative Modeling and Simulation University of Arizona Presented at Mosim08: Modélisation, Optimisation et Simulation des Systèmes March 31-April 2 2008 Paris, France

2. Modeling and Simulation (M&S) Framework Experimental Frame Source Simulator System Simulation Relation Modeling Relation Model

3. DEVS – Formal Specification of a System A discrete event system specification (DEVS) is a structure M=<X,S,Y,int, ext, con, ,ta> where X is the set of input values, S is a set of states, Y is the set of output values, int :S->S is the internal transition function, ext,:QX->S is the external transition function, con,:QX->S is the confluent transition function, ta: S->R + 0,∞ Where Q={(s,e)|sS, 0 e ta(s) } is the total state set, e is the time elapsed since last transition, :S->Y is the output function and R + 0,∞ is the set of positive reals with 0 and 

4. DEVS Hierarchical Modular Models DEVS Model Output port System Entity Structure message SES coupling DEVS Model Input port Hierarchical Composition, Coupling and Variants are Represented in System Entity Structure

5. Advantages of DEVS Theory • Closure under coupling, universality, uniqueness, relation to other formalisms • Hierarchical Model Construction supports complex systems • Supporting the correctness of the algorithms and validation of the executing models Application • Models, Simulators and Experimental Frames are distinct entities with their own software representations. • Precise and well-defined mathematical representation • Models/Experiments are developed systematically for interoperability • Repositories of models/experiments are created and maintained systematically (and existing components can be easily reused for constructing new models) • Discrete-event basis improves performance (e.g. no need for have a global clock to control timing)

6. Some Types of Models Represented in DEVS Coupled Models Atomic Models Partial Differential Equations can be components in a coupled model Ordinary Differential Equation Models Processing/ Queuing/ Coordinating Networks, Collaborations Physical Space Spiking Neuron Networks Spiking Neuron Models Processing Networks Petri Net Models n-Dim Cell Space Discrete Time/ StateChart Models Stochastic Models Cellular Automata Quantized Integrator Models Self Organized Criticality Models Fuzzy Logic Models Reactive Agent Models Multi Agent Systems

7. DEVS Research Groups/Environments • Carleton’s CD++, • ADEVS (ORNL *), • DEVS/C#, • DEVS/HLA, • DEVSJAVA (ACIMS - University of Arizona *), • GALATEA (USB – Venezuela), • LSIS (Aix-Marseille III – France *), • JDEVS (Université de Corse - France), PyDEVS (McGill), • PowerDEVS (University of Rosario, Argentina), • SimBeams (University of Linz – Austria), • VLE (Université du Litoral -France), • SmallDEVS (Brno University of Technology, Czech Republic), • James (University of Rostock,Germany) • Portugal, Spain, and Russia;;; • Workshop on Net-Centric Modeling & SimulationMarch 6–7 2008 - Marseille, France • http://osa.inria.fr/wiki/NCMS/NCMS

8. DEVS Adopters • Joint Interoperability Test Command, USA • Air Force, Navy / USA, South Korea • Lockheed Martin Missile Systems • Usinor – Sachem Expert Control • Swedish Materials Command • …

9. Global Information Grid /Service Oriented Architecture Net-Enabled Command & Control NCES: Secure, agile, robust, dependable, interoperable data-sharing environment for DOD where warfighter, business, and intelligence users share knowledge on a global network. This, in turn, facilitates information superiority, accelerates decision-making, effective operations and net-centric transformation.

10. WSDL Service Oriented Architecture Basics Content/Service Catalogs/Registries Search find_xxx Post save_xxx (Bind) XML Schema XML Payload Content/Service Provider Content/Service Consumer Client Access (& Use) SOAP Service Simple Object Application Protocol

11. WSDL Requirements for Testing and Data Collection Testing for Organization and Ontology quality Content/Service Catalogs/Registries Content discovery accuracy and effectiveness Verification/ Validation relative to service Search find_xxx Post save_xxx (Bind) Assessment of content for pragmatic, semantic, syntactic correctness XML Schema XML Payload Content/Service Provider Content/Service Consumer Client Access (& Use) SOAP Service Measurement of timeliness of information exchange Simple Object Application Protocol

12. Net-Centric Test Agent Capability (NTAC) Test Director Data Analyst Search Find service Post Save service WSDL Embedded “Test Agent” Embedded “Test Agent” Content/Service Catalogs/Registries Real time test data, status Post test data / metrics for analysis XML Schema XML Payload Content/Service Provider Content/Service Consumer Client Access (& Use) Service SOAP Agent-to-Agent communication/coordination

13. Levels of System of System Interoperability

14. Mapping M&S Layers to Linguistic Levels Collaboration Layer Semantic Web, Composition, Orchestration Design and Test Development Layer Pragmatic Level SES, DoDAF, Integrated System Development and Testing Experimental Frame Layer . Observers and Agents for Net-Centric Key Performance Parameters Semantic Level Modeling Layer Ontologies, Formalisms, Model Dynamic Structure, Life Cycle Continuity, Model Abstraction Syntactic Level Execution Layer Abstract Simulators, Real time Execution, Animation Visualization Network Layer Distributed Grids, Service Oriented Architectures

15. NTAC Agent-based Test Instrumentation Infrastructure supports simultaneous testing at multiple levels Highest layer agents collaborate to control and observe mission thread executions End-to-end Mission Layer Middle layer alert higher layer agents of network conditions that invalidate test results Higher layer agents inform lower level agents of the objectives for health monitoring Information Exchange Layer Network probes return statistics and alarms to higher layer agents Middle layer agents activate probes at lower layer Probe Layer

16. Concept of DEVS Standard Single DEVS C++ Simulation processor Protocol Distributed Java Simulator DEVS DEVS DEVSML Model Real - Time Simulator Simulator Interface Interface Virtual - Time Non Simulator Other DEVS Representation

17. DEVS Simulation Protocol simulators. simulators. tellAll tellAll ("initialize“) ("initialize“) Coordinator Coordinator simulators. simulators. AskAll AskAll (“ (“ nextTN nextTN ”) ”) simulators. simulators. tellAll tellAll (" (" computeInputOutput computeInputOutput “) “) simulators. simulators. tellAll tellAll (" (" sendMessages sendMessages ") ") simulators. simulators. tellAll tellAll (" (" ApplyDeltFunc”) putContentOnSimulator DEVS Simulator DEVS Simulator Non-DEVS Simulator ? DEVS Model 2 DEVS Model 1 Atoimc1 Atoimc2

18. DEVS Standard Interfaces interface coreSimulatorInterface{ void setSimulators (Collection<CoreSimulatorInterface>); void initialize(); Double nextTN(); void computeInputOutput(Double t); void applyDeltFunc(Double t); void putContentOnSimulator (CoreSimulatorInterface sim, ContentInterface c); void sendMessages(); }

19. DEVS/SOA Infrastructure: Supports Deployment and Execution of DEVS Models on the Web WEB SERVICE CLIENT DEVS DEVS Agent Agent (Observer) ( Virtual User) WEB DEVSJAVA SERVICE CLIENT DEVS Modeling Language (DEVML) DEVS Simulator Services • Service Oriented Architecture (SOA) consists of various W3C standards • Client server framework • XML Message encapsulated in SOAP wrapper • Machine-to-machine interoperable interaction over the network based on WSDL interface descriptions Middleware (SOAP, RMI etc) Net - centric infrastructure Run Example

20. Deploying Models: DEVSML and DEVS/SOA

21. Automated Negotiation Support in Multi-Agent Web Environments FD-DEVS Market Place Domain-independent behavior FD-DEVS ~ phases ~ message types Domain-dependent structure SES message specializations Receive message Interpret message storeSpec Send message Surveillance Spec

22. Analysis-Based Network Data Extraction SES for Throughput Analysis pruning SES for Network Data Network Data Collection SES for Protocol Analysis SES for Intrusion Detection Use Aspects, Specializations, … and Pragmatic Frame to develop System Entity Structure

23. Applications • Natural language capture of high level information technology systems requirements • Automated generation of FDDEVS kernel DEVSJAVA/C++ models for distributed real-time net-centric IT systems testing • Development of web service workflows using DEVS/SOA • Network Traffic data capture, focused extraction, and model generation for exercising IT systems e.g., intrusion detection

24. Conclusions • DEVS and SES provide a framework based on Systems Theory for Web-Centric M&S environments • Supports integrated development and testing • DEVS standard supports sharable models and repository reuse on the Service Oriented Architecture • Provides a basis for achieving higher levels of interoperability – can work with HLA or not: DEVS/SOA provides a SOA implementation independent of HLA • The framework supports development of generic tools which in turn support a wide array of web service domain specific specializations and applications

25. Books and Web Links acims.arizona.edu Rtsync.com devsworld.org