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Analysis of TCP Performance in Data Center Networks [Paperback]

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  • Category: Books (Technology & Engineering)
  • Author:  Kulkarni, Santosh, Agrawal, Prathima
  • Author:  Kulkarni, Santosh, Agrawal, Prathima
  • ISBN-10:  146147860X
  • ISBN-10:  146147860X
  • ISBN-13:  9781461478607
  • ISBN-13:  9781461478607
  • Publisher:  Springer
  • Publisher:  Springer
  • Pages:  112
  • Pages:  112
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Feb-2013
  • Pub Date:  01-Feb-2013
  • SKU:  146147860X-11-SPRI
  • SKU:  146147860X-11-SPRI
  • Item ID: 100717301
  • List Price: $54.99
  • Seller: ShopSpell
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  • Delivery by: Mar 20 to Mar 22
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This book addresses the need to improve TCPs 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 TCPs 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.

Introduction.- The Transmission Control Protocol.- Modeling Incast and its Empirical Validation.- Addressing TCP Incast.- Conclusions and Future Work.

From the reviews:

This book precisely discusses the performance of TCP in data center networks and methods to overcome the TCP incast problem. In general, the concepts, problems, and solutions related to the performance of TCP in high-speed networks discussed in this book will be of interest to all network engineers and researchers. & The lists of references & present good quality research work carried out to study the performance of TCP in computer networks, and should be used for further study. (Rinki Sharma, Computing Reviews, May, 2014)

This book addresses the need to improve TCPs 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 TCPs 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 ol³-

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