Stochastic network optimization with application to communication and queueing systems

Stochastic network optimization with application to communication and queueing systems

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Bibliographic Details
Author / Creator:Neely, Michael J.
Imprint:San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool, c2010.
Description:1 electronic text (xii, 199 p. : ill.) : digital file.
Language:English
Series:Synthesis lectures on communication networks, 1935-4193 ; # 7
Synthesis digital library of engineering and computer science.
Synthesis lectures on communication networks, # 7.
Subject:
Dynamic programming.
Queuing networks (Data transmission)
Stochastic systems.
Lyapunov functions.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/10510955
Hidden Bibliographic Details
ISBN:9781608454563 (electronic bk.)
9781608454556 (pbk.)
Notes:Part of: Synthesis digital library of engineering and computer science.
Series from website.
Includes bibliographical references (p. 181-198).
Abstract freely available; full-text restricted to subscribers or individual document purchasers.
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Also available in print.
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
Summary: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.
Standard no.:10.2200/S00271ED1V01Y201006CNT007

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