Algebraic and Topological Structure of QOS (End to End) Within Large Scale Distributed Information Systems

Abstract

End-to-end quality of service (QoSete) in large scale distributed information systems (DIS) is essential for intelligent system acquisition and design. Without well-developed mechanisms to measure system performance in terms of user requirements, systems can only be built in an ad-hoc manner. The QoSete model formalizes the identification of user requirements and provides performance metrics that are based on empirically measurable attributes that indicate how well user requirements have been met. These performance metrics manifest through the Benefit Function, which is then used for resource dimensioning. Ideally, large scale DIS should be designed and built to efficiently match both system and capital resources to pre-defined user requirements. This avoids users receiving unacceptably low levels of service and/or expending unnecessary capital. The current barriers to achieving QoSete include a lack of understanding of user requirements, the lack of a practical interface between the users and system designers, the lack of a common framework for integration of concepts between the various areas of expertise within the system, and the lack of a mature composability theory that allows such systems to be designed in a modular sense. The work herein addresses to some degree (primarily at a high-level) each of these obstacles, as well as providing insight into a number of related issues.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1999
Accession Number
ADA359965

Entities

People

  • Mitchell J. Anderson
  • Robert Mathews

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Air Force Research Laboratories
  • Difference Equations
  • Differential Equations
  • Identification
  • Information Systems
  • Military Research
  • Number Theory
  • Numbers
  • Packet Loss
  • Precision
  • Probability
  • Probability Distributions
  • Reliability
  • Resource Management
  • Statistical Distributions

Fields of Study

  • Computer science
  • Engineering

Readers

  • Computer Networking
  • Software Engineering.
  • Systems Analysis and Design