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The Effects of Traffic Structure on Application and Network Performance

  • Book
  • © 2013

Overview

  • Presents ground-breaking research that will influence how networking research is conducted in the future

  • An important reference for networking researchers who practice empirical research in testing and evaluating network protocols and applications in a laboratory setting

  • Serves as a valuable resource for networking professionals who must design and plan testing and evaluation for their networks

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Table of contents (7 chapters)

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About this book

Over the past three decades, the Internet's rapid growth has spurred the development of new applications in mobile computing, digital music, online video, gaming and social networks. These applications rely heavily upon various underlying network protocols and mechanisms to enable, maintain and enhance their Internet functionality

The Effects of Traffic Structure on Application and Network Performance provides the necessary tools for maximizing the network efficiency of any Internet application, and presents ground-breaking research that will influence how these applications are built in the future.  The book outlines how to design and run all types of networking experiments, and establishes the best practices in synthetic traffic generation for current and future researchers and practitioners to follow.  It addresses some basic concepts and methods of traffic generation, but also details extensive empirical research in testing and evaluating network protocols and applications within a laboratory setting.

The Effects of Traffic Structure on Application and Network Performance is designed as a reference book for networking professionals who must design, plan, test and evaluate their networks.  Advanced-level students and researchers in computer science and engineering will find this book valuable as well

Authors and Affiliations

  • University of North Carolina at Chapel H, Chapel Hill, USA

    Jay Aikat

  • at Chapel Hill, Department of Computer Science, University of North Carolina, Chapel Hill, USA

    Kevin Jeffay

  • at Chapel Hill, Department of Computer Science, University of North Carolina, Chapel Hill, USA

    F. Donelson Smith

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