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

Abstract

Appealing to current and past work on the routing problem in data - communication networks, we motivate the need for algorithms that estimate the derivative with respect to flow, of the total message delay on each of the links. We then cast the problem 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-sever queue to derive an estimate of 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

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1977
Accession Number
ADA043248

Entities

People

  • Martin G. Bello

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Capillary Electrophoresis
  • Communication Networks
  • Computational Complexity
  • Digital Communications
  • Distribution Functions
  • Estimators
  • Information Processing
  • Information Systems
  • Massachusetts
  • Military Research
  • Power Series
  • Probability
  • Queueing Theory
  • Random Variables
  • Simulations
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Mathematical Modeling and Probability Theory.
  • Statistical inference.