Executable Architecture of Net Enabled Operations: State Machine of Federated Nodes

Abstract

The Defence Research and Development Canada (DRDC) Centre for Operational Research and Analysis (CORA) is developing capability-engineering analysis tools to support the building, demonstration, and analysis of executable architectures. Our previous paper [7] described how to model workflows within an Operations Centre (OPCEN) employing a Net-Centric architecture. It used a State Machine (SM) to simulate how multiple jobs can proceed in parallel, and in contention within priorities, when operators use a Task, Post, Process, Use (TPPU) cycle to organize their work. This paper extends the OPCEN SM model to track the interaction of work between OPCENs. The State Machine of Federated Nodes (SMOFN) engine is organized around networked functional nodes within those OPCENs that produce and consume products held in a virtual Repository. The data-driven simulation uses files to build customized job workflows and configure any combination of nodes without affecting the operational logic.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2009
Accession Number
ADA639011

Entities

People

  • M. G. Ball
  • R. Sorensen
  • R. W. Funk

Organizations

  • Defence Research and Development Canada

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Cyber
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Application Software
  • Classification
  • Command And Control
  • Command And Control Systems
  • Computer Programs
  • Control Panels
  • Department Of Defense
  • Engineering
  • Graphical User Interface
  • Hard Copy
  • Information Exchange
  • National Security
  • Operations Research
  • Security
  • Simulations
  • Simulators
  • Systems Engineering

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Parallel and Distributed Computing.