Prathima Agrawal – författare

This IMA Volume in Mathematics and its Applications Wireless Communications contains papers based on invited lectures at the very successful IMA Sum­ mer Program on Wireless Communications, held on June 22 - July 1, 2005. We would like to thank Prathima Agrawal (Auburn University), Daniel Matthew Andrews (Lucent Technologies), Philip J. Fleming (Mo­ torola, Inc.), George Yin (Wayne State University), and Lisa Zhang (Lucent Technologies) for their superb role as workshop organizers and editors of the proceedings. We take this opportunity to thank the National Science Foundation for its support of the IMA. Series Editors Douglas N. Arnold, Director of the IMA Arnd Scheel, Deputy Director of the IMA v PREFACE This volume presents papers, based on invited talks given at the 2005 IMA Summer Workshop on Wireless Communications, held at the Institute for Mathematics and Its Applications, University of Minnesota, June 22 ­ July 1, 2005. The conference provided a well blended program to facilitate the com­ munications between academia and the industry, and to bridge the mathe­ matical sciences, engineering, information theory, and communication com­ munities. The emphases were on design and analysis of computationally efficient algorithms to better understand the behavior and to control the wireless telecommunication networks. As an achieve, this volume presents some of the highlights of the conference, and collects papers covering a broad spectrum of topics. All papers have been reviewed.

This IMA Volume in Mathematics and its Applications Wireless Communications contains papers based on invited lectures at the very successful IMA Sum­ mer Program on Wireless Communications, held on June 22 - July 1, 2005. We would like to thank Prathima Agrawal (Auburn University), Daniel Matthew Andrews (Lucent Technologies), Philip J. Fleming (Mo­ torola, Inc.), George Yin (Wayne State University), and Lisa Zhang (Lucent Technologies) for their superb role as workshop organizers and editors of the proceedings. We take this opportunity to thank the National Science Foundation for its support of the IMA. Series Editors Douglas N. Arnold, Director of the IMA Arnd Scheel, Deputy Director of the IMA v PREFACE This volume presents papers, based on invited talks given at the 2005 IMA Summer Workshop on Wireless Communications, held at the Institute for Mathematics and Its Applications, University of Minnesota, June 22 ­ July 1, 2005. The conference provided a well blended program to facilitate the com­ munications between academia and the industry, and to bridge the mathe­ matical sciences, engineering, information theory, and communication com­ munities. The emphases were on design and analysis of computationally efficient algorithms to better understand the behavior and to control the wireless telecommunication networks. As an achieve, this volume presents some of the highlights of the conference, and collects papers covering a broad spectrum of topics. All papers have been reviewed.

This book addresses the need to improve TCP’s performance inside data centers by providing solutions that are both practical and backward compatible with standard TCP versions. The authors approach this challenge first by deriving an analytical model for TCP’s performance under typical data center workload traffic. They then discuss some solutions that are designed to improve TCP performance by either proactively detecting network congestion through probabilistic retransmission or by avoiding timeout penalty through dynamic resizing of TCP segments. Experimental results show that each of techniques discussed outperforms standard TCP inside a data center.

This book addresses the need to improve TCP’s performance inside data centers by providing solutions that are both practical and backward compatible with standard TCP versions. The authors approach this challenge first by deriving an analytical model for TCP’s performance under typical data center workload traffic. They then discuss some solutions that are designed to improve TCP performance by either proactively detecting network congestion through probabilistic retransmission or by avoiding timeout penalty through dynamic resizing of TCP segments. Experimental results show that each of techniques discussed outperforms standard TCP inside a data center.