Cost-Based Optimization of Buffer Size in M/G/1/N Systems under Different Service-Time Distributions

Derek Doran, Lester Lipsky, Steve Thompson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An analytic cost model is presented for M/G/1/N queueing systems. It considers the cost of customer loss versus customer delays, by varying buffer size and processor speed. We find optimal (and near optimal) configurations for a wide variety of service-time distributions. The model can provide insight into when it is better to invest in increased processor speed than to supply more buffer space. It is seen that different distributions may need very different hardware for optimal performance, and that it may actually be better to reject customers.

Original languageAmerican English
Title of host publication2010 Ninth IEEE International Symposium on Network Computing and Applications
PublisherIEEE
Pages28-35
Number of pages8
ISBN (Electronic)978-1-4244-7627-5 , 978-0-7695-4118-1
ISBN (Print)978-1-4244-7628-2
DOIs
StatePublished - 2010
Event2010 9th IEEE International Symposium on Network Computing and Applications, NCA 2010 - Cambridge, MA, United States
Duration: Jul 15 2010Jul 17 2010

Conference

Conference2010 9th IEEE International Symposium on Network Computing and Applications, NCA 2010
Country/TerritoryUnited States
CityCambridge, MA
Period7/15/107/17/10

ASJC Scopus Subject Areas

  • Computer Networks and Communications
  • Computer Science Applications

Keywords

  • Servers
  • Shape
  • Organizations
  • Equations
  • Queueing analysis
  • Optimized production technology
  • Cost function

Disciplines

  • Computer Sciences
  • Engineering

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