Overview
- Editors:
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Paul Glasserman
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Department of Management Science and Operations Management, Columbia University, New York City, USA
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Karl Sigman
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Department of Operations Research and Industrial Engineering, Columbia University, New York City, USA
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David D. Yao
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Department of Operations Research and Industrial Engineering, Columbia University, New York City, USA
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Table of contents (14 papers)
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Front Matter
Pages iii-xii
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Stability
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- J. G. Dai, John H. Vande Vate
Pages 1-26
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Rare Events
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- Peter W. Glynn, Marcelo Torres
Pages 109-138
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- Wei-Bo Gong, Soracha Nananukul
Pages 139-168
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- Predrag R. Jelenković, Aurel A. Lazar
Pages 215-235
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- Takis Konstantopoulos, Si-Jian Lin
Pages 257-273
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- Cheng-Shang Chang, David D. Yao, Tim Zajic
Pages 275-298
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Back Matter
Pages 299-300
About this book
Two of the most exciting topics of current research in stochastic networks are the complementary subjects of stability and rare events - roughly, the former deals with the typical behavior of networks, and the latter with significant atypical behavior. Both are classical topics, of interest since the early days of queueing theory, that have experienced renewed interest mo tivated by new applications to emerging technologies. For example, new stability issues arise in the scheduling of multiple job classes in semiconduc tor manufacturing, the so-called "re-entrant lines;" and a prominent need for studying rare events is associated with the design of telecommunication systems using the new ATM (asynchronous transfer mode) technology so as to guarantee quality of service. The objective of this volume is hence to present a sample - by no means comprehensive - of recent research problems, methodologies, and results in these two exciting and burgeoning areas. The volume is organized in two parts, with the first part focusing on stability, and the second part on rare events. But it is impossible to draw sharp boundaries in a healthy field, and inevitably some articles touch on both issues and several develop links with other areas as well. Part I is concerned with the issue of stability in queueing networks.
