The Estimation of Delay Gradients for Purposes of Routing in Data-Communication Networks,

Abstract

The derivatives with respect to message flow of the total delay accumulated per unit time on each link in a Data-Communication network have been shown to be fundamental quantities in the solution of the routing problem. Casting the problem of estimating these delay gradients in a queueing theory framework, and making no statistical assumptions other than stationarity, we propose three algorithms that process the record of arrivals and departures of a single-server queue to derive an estimate for the derivative, with respect to arrival rate, of the total delay accumulated per unit time. Through simulation and analysis we show that all three algorithms are asymptotically unbiased and efficient for M/D/1 queues. By simulation of other queues we investigate the relative robustness of the three procedures. Finally, through examination of the storage and computational requirements we identify a single most promising algorithm. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1979
Accession Number
ADA077296

Entities

People

  • Adrian Segal
  • M. G. Bello

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Buildings And Structures
  • Classification
  • Computational Complexity
  • Computer Science
  • Computers
  • Distribution Functions
  • Electrical Engineering
  • Engineering
  • Estimators
  • Network Science
  • Networks
  • Probability
  • Random Variables
  • Security
  • Simulations
  • Statistical Analysis

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Networking
  • Mathematical Modeling and Probability Theory.