6. Case Study II: Queuing Theory Applied to Optimizing and Tuning Software Performance and Scalability

  1. Henry H. Liu PhD

Published Online: 28 OCT 2008

DOI: 10.1002/9780470465394.ch6

Software Performance and Scalability: A Quantitative Approach

Software Performance and Scalability: A Quantitative Approach

How to Cite

Liu, H. H. (2009) Case Study II: Queuing Theory Applied to Optimizing and Tuning Software Performance and Scalability, in Software Performance and Scalability: A Quantitative Approach, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470465394.ch6

Author Information

  1. Folsom, California, USA

Publication History

  1. Published Online: 28 OCT 2008
  2. Published Print: 5 MAY 2009

Book Series:

  1. IEEE Computer Society

Book Series Editors:

  1. Linda Shafer2 and
  2. Alan Clements3

Series Editor Information

  1. 2

    Software Quality Institute, The University of Texas at Austin, USA

  2. 3

    University of Teesside, UK

ISBN Information

Print ISBN: 9780470462539

Online ISBN: 9780470465394

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Keywords:

  • software performance and scalability analysis;
  • effective optimization and tuning techniques;
  • balanced queuing system

Summary

This chapter contains sections titled:

  • Analyzing Software Performance and Scalability

  • Effective Optimization and Tuning Techniques

  • Balanced Queuing System

  • Summary

  • Recommended Reading

  • Exercises