Goal-Directed Grid-Enabled Computing for Legacy Simulations

Abstract

We describe a middleware framework conceived to enhance the effectiveness and efficiency of existing simulation applications by providing three capabilities: (1) access to grid-based and cloud-based execution, (2) access to advanced Design of Experiments (DOE) methodologies such as simulation-based optimization, and (3) access to robust data processing and visualization. The framework has been applied to a variety of simulations in both commercial and open source programming languages employing both discrete and continuous modeling formalisms. A key design objective is to minimize the workload necessary to adapt a simulation for use with the framework. User experience to date reveals that the learning curve for the framework is reasonable, but further automation of key tasks would enhance the frameworks utility.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2012
Accession Number
AD1108518

Entities

People

  • Brian Wickham
  • Elizabeth Chang
  • Ernest H. Page
  • Laurie Litwin
  • Matthew T. Mcmahon
  • Mike Shadid

Organizations

  • MITRE Corporation

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Big Data
  • Case Studies
  • Computer Programming
  • Computers
  • Computing System Architectures
  • Data Analysis
  • Data Management
  • Data Processing
  • Databases
  • Engineers
  • Experimental Design
  • Graphical User Interface
  • Information Science
  • Network Protocols
  • Operating Systems
  • Operations Research
  • Relational Database Management Systems
  • Simulations
  • User Interface
  • Visualizations

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Cybersecurity.
  • Software Engineering.