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Web Server Performance Modeling using an M/G/1/K*PS Queue

Author

Summary, in English

Performance modeling is an important topic in

capacity planning and overload control for web servers. We

present an M/G/1/K*PS queueing model of a web server.

The arrival process of HTTP requests is assumed to be

Poissonian and the service discipline is processor sharing.

The total number of requests that can be processed at one

time is limited to K. We obtain closed form expressions for

web server performance metrics such as average response

time, throughput and blocking probability. The average of

the service time requirement and the limit of the number of

requests being served are model parameters. The parameters

are estimated by maximizing the log-likelihood function of the

measured average response time. Compared to other models,

our model is conceptually simple and it is easy to estimate

model parameters. The model has been validated through

measurements in our lab. The performance metrics predicted

by the model fit well to the experimental outcome.

Publishing year

2003

Language

English

Pages

1501-1506

Publication/Series

ICT'2003 : 10th international conference on telecommunications. Volume 2

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Communication Systems
  • Electrical Engineering, Electronic Engineering, Information Engineering

Conference name

10th International Conference on Telecommunications

Conference date

0001-01-02

Status

Published

Project

  • Tele- och datakommunikationssystem: Performance Analysis of distributed Applications

Research group

  • Tele- och datakommunikationssystem

ISBN/ISSN/Other

  • ISBN: 0780376617