Ultra-Dependable, High-Performance, Real-Time Signal Processing,

Abstract

The Active Nodal Task Seeking (ANTS) approach to the design of multicomputer systems is named for its basic component: an Active Nodal Task-Seeker (ANT). An ANTS multicomputer system can achieve a mean time to failure of more than 20 years. In this final report, we present the many findings during the project duration. First, the first version of ANTS kernel has been implemented on a network of UNIX workstations. Based on these implementations, we have successfully demonstrated the proposed fault tolerant techniques via fault injection experiments. The system detects faults and recover itself as expected within seconds. The dependability goal predicted in the theoretical model is validated. We then program and execute several well-known algorithms in ANTS distributed computing environment to demonstrate the high-performance features.

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Document Details

Document Type
Technical Report
Publication Date
Aug 20, 1996
Accession Number
ADA313491

Entities

People

  • Donald W. Tufts
  • James W. Cooley
  • Jien-chung Lo

Organizations

  • University of Rhode Island

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Consensus Algorithms
  • Distributed Computing
  • Environment
  • Mathematics
  • Signal Processing
  • Time Signals

Fields of Study

  • Computer science
  • Engineering

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computer Networking
  • Parallel and Distributed Computing.