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Item Details
| Title:
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STOCHASTIC NETWORK OPTIMIZATION WITH APPLICATION TO COMMUNICATION AND QUEUEING SYSTEMS
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| By: |
Michael Neely, Jean Walrand |
| Format: |
Paperback |
| List price:
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£35.95 |
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We believe that this item is permanently unavailable, and so we cannot source
it.
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| ISBN 10: |
160845455X |
| ISBN 13: |
9781608454556 |
| Publisher: |
MORGAN & CLAYPOOL PUBLISHERS |
| Pub. date: |
1 August, 2010 |
| Series: |
Synthesis Lectures on Communication Networks |
| Pages: |
211 |
| Synopsis: |
This text presents a modern theory of analysis, control, and optimization for dynamic networks. Mathematical techniques of Lyapunov drift and Lyapunov optimization are developed and shown to enable constrained optimization of time averages in general stochastic systems. The focus is on communication and queueing systems, including wireless networks with time-varying channels, mobility, and randomly arriving traffic. A simple drift-plus-penalty framework is used to optimize time averages such as throughput, throughput-utility, power, and distortion. Explicit performance-delay tradeoffs are provided to illustrate the cost of approaching optimality. This theory is also applicable to problems in operations research and economics, where energy-efficient and profit-maximizing decisions must be made without knowing the future.Topics in the text include the following: Queue stability theory; Backpressure, max-weight, and virtual queue methods; Primal-dual methods for non-convex stochastic utility maximization; Universal scheduling theory for arbitrary sample paths; Approximate and randomized scheduling theory; Optimization of renewal systems and Markov decision systems; Detailed examples and numerous problem set questions are provided to reinforce the main concepts. |
| Illustrations: |
black & white illustrations |
| Publication: |
US |
| Imprint: |
Morgan & Claypool Publishers |
| Returns: |
Non-returnable |
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