A QoS Performance Measure Framework for Distributed Heterogeneous Networks

Abstract

In a distributed heterogeneous computing environment, users' tasks are allocated resources to simultaneously satisfy, to varying degrees, the tasks different, and possibly conflicting, quality of service (QoS) requirements. When the total demand placed on system resources by the tasks, for a given interval of time, exceeds the resources available, some tasks will receive degraded service or no service at all. One part of a measure to quantify the success of a resource management system (RMS) in such a distributed environment is the collective value of the tasks completed during an interval of time, as perceived by the user, application, or policy maker. The Flexible Integrated System Capability (FISC) ratio introduced here is a measure for quantifying this collective value. The FISC ratio is a multi-dimensional measure, and may include priorities, versions of a task or data, deadlines, situational mode, security, application- and domain-specific QoS, and dependencies. In addition to being used for evaluating and comparing RMSs, the FISC ratio can be incorporated as part of the objective function in a system's scheduling heuristics.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2000
Accession Number
ADA423695

Entities

People

  • David St. John
  • Debra A. Hensgen
  • Howard J. Siegel
  • Jong-kook Kim
  • Taylor Kidd

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Availability
  • Computer Network Security
  • Computer Science
  • Corporations
  • Distributed Computing
  • Environment
  • Heterogeneous Networks
  • Intervals
  • Language
  • Military Applications
  • Networks
  • Resource Management
  • Scheduling (Production)
  • Security
  • Simulations

Fields of Study

  • Computer science

Readers

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