Difficulties with True Interoperability in Modeling & Simulation

Abstract

Interoperability among distributed models and simulations is complex, tedious and difficult to evaluate. Integrating models that were developed for various purposes with disparate technologies and managed by independent organizations is often the goal. This goal is underestimated due to misleading facts of commonalities between those applications. Common compliance with middleware architectures, modeling goals and even object models gives a false impression of complete interoperability. There are numerous considerations when developing a distributed simulation environment. The event's objectives drive the necessary simulation functions, but how those simulation functions interact needs to be meticulously designed for true interoperability. The semantics of the information transmitted, the behavior necessary across multiple applications, fidelity and resolution synchronization are only a subset of the systems engineering necessary for a coherent System of Systems. This paper covers interoperability complexities and proposes criteria to consider when developing, integrating and executing a distributed modeling and simulation architecture.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2011
Accession Number
ADA558536

Entities

People

  • Chris Gaughan
  • Scott Gallant

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Counter WMD
  • Engineered Resilient Systems
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Application Software
  • Computer Programming
  • Computer Programs
  • Computers
  • Computing System Architectures
  • Department Of Defense
  • Distributed Computing
  • Engineering
  • Engineers
  • Information Exchange
  • Interoperability
  • Language
  • Lessons Learned
  • Reliability
  • System Of Systems
  • Systems Engineering
  • Unmanned Aerial Vehicles

Fields of Study

  • Computer science
  • Engineering

Readers

  • Computational Modeling and Simulation
  • Distributed Systems and Data Platform Development
  • Software Engineering.