5. Case Study I: Queuing Theory Applied to SOA

  1. Henry H. Liu PhD

Published Online: 28 OCT 2008

DOI: 10.1002/9780470465394.ch5

Software Performance and Scalability: A Quantitative Approach

Software Performance and Scalability: A Quantitative Approach

How to Cite

Liu, H. H. (2009) Case Study I: Queuing Theory Applied to SOA, in Software Performance and Scalability: A Quantitative Approach, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470465394.ch5

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:

  • queuing theory for real problem solving;
  • queuing theory applied to SOA;
  • MedRec deployment and test scenario

Summary

This chapter contains sections titled:

  • Introduction to SOA

  • XML Web Services

  • The Analytical Model

  • Service Demand

  • MedRec Application

  • MedRec Deployment and Test Scenario

  • Test Results

  • Comparing the Model with the Measurements

  • Validity of the SOA Performance Model

  • Summary

  • Recommended Reading

  • Exercises