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首页Stochastic Network Optimization with Application to Communication and Queueing S
本文介绍了动态网络的分析、控制和优化的现代理论。发展了李雅普诺夫漂移和李雅普诺夫优化的数学技术,证明了在一般随机系统中,时间平均的约束优化是可行的。重点是通信和排队系统,包括具有时变信道、移动性和随机到达流量的无线网络。一个简单的漂移-加-惩罚框架用于优化时间平均,如吞吐量、吞吐量-效用、功率和失真。提供了显式的性能延迟权衡,以说明接近最优的代价。这一理论也适用于运筹学和经济学的问题,在运筹学和经济学中,能源效率和利润最大化的决策必须在不知道未来的情况下做出。主题在文本中包括以下:-队列稳定性理论反压力max-weight和虚拟队列方法-非非凸随机效用极大化方法普遍任意样本路径-近似调度理论和随机调度理论——优化更新系统和马尔科夫决策系统提供了详细的例子和无数的作业问题,加强的主要概念。目录:介绍/队列介绍/动态调度实例/优化时间平均/优化时间平均函数/近似调度/更新系统优化/结论
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Stochastic Network Optimization
with Application to
Communication and
Queueing Systems
Copyright © 2010 by Morgan & Claypool
All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in
any form or by any means—electronic, mechanical, photocopy, recording, or any other except for brief quotations in
printed reviews, without the prior permission of the publisher.
Stochastic Network Optimization with Application to Communication and Queueing Systems
Michael J. Neely
www.morganclaypool.com
ISBN: 9781608454556 paperback
ISBN: 9781608454563 ebook
DOI 10.2200/S00271ED1V01Y201006CNT007
A Publication in the Morgan & Claypool Publishers series
SYNTHESIS LECTURES ON COMMUNICATION NETWORKS
Lecture #7
Series Editor: Jean Walrand, University of California, Berkeley
Series ISSN
Synthesis Lectures on Communication Networks
Print 1935-4185 Electronic 1935-4193
This material is supported in part by one or more of the following: the DARPA IT-MANET program grant
W911NF-07-0028, the NSF Career grant CCF-0747525, and continuing through participation in the Network
Science Collaborative Technology Alliance sponsored by the U.S. Army Research Laboratory.
Synthesis Lectures on
Communication Networks
Editor
Jean Walrand, University of California, Berkeley
Synthesis Lectures on Communication Networks is an ongoing series of 50- to 100-page publications
on topics on the design, implementation, and management of communication networks. Each lecture is
a self-contained presentation of one topic by a leading expert. The topics range from algorithms to
hardware implementations and cover a broad spectrum of issues from security to multiple-access
protocols. The series addresses technologies from sensor networks to reconfigurable optical networks.
The series is designed to:
• Provide the best available presentations of important aspects of communication networks.
• Help engineers and advanced students keep up with recent developments in a rapidly evolving
technology.
• Facilitate the development of courses in this field.
Stochastic Network Optimization with Application to Communication and Queueing
Systems
Michael J. Neely
2010
Scheduling and Congestion Control for Wireless and Processing Networks
Libin Jiang and Jean Walrand
2010
Performance Modeling of Communication Networks with Markov Chains
Jeonghoon Mo
2010
Communication Networks: A Concise Introduction
Jean Walrand and Shyam Parekh
2010
Path Problems in Networks
John S. Baras and George Theodorakopoulos
2010
iv
Performance Modeling, Loss Networks, and Statistical Multiplexing
Ravi R. Mazumdar
2009
Network Simulation
Richard M. Fujimoto, Kalyan S. Perumalla, and George F. Riley
2006
Stochastic Network Optimization
with Application to
Communication and
Queueing Systems
Michael J. Neely
University of Southern California
SYNTHESIS LECTURES ON COMMUNICATION NETWORKS #7
C
M
&
cLaypoolMorgan publishers
&
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