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Motivation
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Contents
Introduction
How can we analyze the performance of multiserver systems efficiently and accurately?
Subsections
Motivation
Difficulty of performance analysis of multiserver systems
Approximating general distributions
Multidimensional Markov chains
Road map
Synopsis of Part I: Analytical tools for multiserver systems
Moment matching algorithm (Chapter 2)
Dimensionality reduction of Markov chains (Chapter 3)
Synopsis of Part II: Performance analysis of multiserver systems
Configuring multiserver systems with multiple priority classes (Chapter 4)
Improving traditional task assignment policy (Chapter 5)
Reducing switching costs in cycle stealing (Chapter 6)
Designing robust resource allocation policies (Chapter 7)
Synopsis of Part III: Further discussion and conclusion
Applications in contact center design (Chapter 8)
Takayuki Osogami 2005-07-19
