A Development Testbed for ALPS-Based Systems

Abstract

The work expanded the definition of a distributed architecture model that would support digital signal processing applications. Efforts concentrated on two aspects: the development of a reliable simulation facility that would more accurately predict the performance of our distributed system (known as the d-ALPS framework), and the exploration of models of analysis for task distribution and resource allocation within that framework. The first portion resulted in a set of computer programs that interacted within our existing behavioral model for support d-ALPS applications. The simulator itself is a flexible system that allows a variable degree of report information to be generated for specification execution sequences. It was written to be relatively portable within a UNIX-based environment. The second portion resulted in a master's-level thesis that discussed analysis methods for d-ALPS architecture in terms of four broad analytical techniques: static analysis, state generation analysis, schedule simulation, and architectural simulation. Each of these methodologies is developed in terms of a series of relevant application models that highlight the strengths and weaknesses of the d-ALPS approach.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1988
Accession Number
ADA220135

Entities

People

  • Daniel Leibholz
  • Dick C. Bulterman

Organizations

  • Brown University

Tags

Communities of Interest

  • C4I
  • Cyber
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Computer Programming
  • Computer Programs
  • Computers
  • Computing System Architectures
  • Data Transmission
  • Digital Signal Processing
  • Engineering
  • Failure Mode And Effect Analysis
  • Gantt Charts
  • Hypervelocity Flow
  • Linear Programming
  • Load Monitoring
  • Operating Systems
  • Signal Processing
  • Simplex Method
  • Systems Engineering

Fields of Study

  • Computer science
  • Engineering

Readers

  • Software Engineering.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.