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Performance Modeling and Engineering

  • Book
  • © 2008

Overview

Editors:
  1. Zhen Liu

    1. IBM T. J. Watson Research Center, Hawthorne

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    You can also search for this editor in PubMed   Google Scholar

  2. Cathy H. Xia

    1. IBM T. J. Watson Research Center, Hawthorne

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    You can also search for this editor in PubMed   Google Scholar

  • First book to cover both performance modeling and performance engineering
  • Establishes a connection between market mechanisms and Internet applications
  • Provides state-of-the-art insights in the application of control theory and optimization techniques on computer systems and computer networks
  • Includes supplementary material: sn.pub/extras

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xvi
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  2. Performance Design and Engineering

    1. Machine Learning Techniques—Reductions Between Prediction Quality Metrics

      • Alina Beygelzimer, John Langford, Bianca Zadrozny
      Pages 3-28

    2. Performance Engineering and Management Method — A Holistic Approach to Performance Engineering

      • Dave Jewell
      Pages 29-55

    3. Economic Models of Communication Networks

      • Jean Walrand
      Pages 57-89

    4. Algorithmic Methods for Sponsored Search Advertising

      • Jon Feldman, S. Muthukrishnan
      Pages 91-122

  3. Scheduling and Control

    1. Advances in Oblivious Routing of Internet Traffic

      • M. Kodialam, T. V. Lakshman, Sudipta Sengupta
      Pages 125-146

    2. Network Scheduling and Message-passing

      • Devavrat Shah
      Pages 147-184

    3. Introduction to Control Theory And Its Application to Computing Systems

      • Tarek Abdelzaher, Yixin Diao, Joseph L. Hellerstein, Chenyang Lu, Xiaoyun Zhu
      Pages 185-215

  4. Back Matter

    Pages 217-219
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Keywords

About this book

With the fast development of networking and software technologies, information processing infrastructure and applications have been growing at an impressive rate in both size and complexity, to such a degree that the design and development of high performance and scalable data processing systems and networks have become an ever-challenging issue. As a result, the use of performance modeling and m- surementtechniquesas a critical step in designand developmenthas becomea c- mon practice. Research and developmenton methodologyand tools of performance modeling and performance engineering have gained further importance in order to improve the performance and scalability of these systems. Since the seminal work of A. K. Erlang almost a century ago on the mod- ing of telephone traf c, performance modeling and measurement have grown into a discipline and have been evolving both in their methodologies and in the areas in which they are applied. It is noteworthy that various mathematical techniques were brought into this eld, including in particular probability theory, stochastic processes, statistics, complex analysis, stochastic calculus, stochastic comparison, optimization, control theory, machine learning and information theory. The app- cation areas extended from telephone networks to Internet and Web applications, from computer systems to computer software, from manufacturing systems to s- ply chain, from call centers to workforce management.

Reviews

From the reviews:

"This is a nice reference book that provides an essential set of literature of available methods, models, and techniques for the study of performance modeling and analysis. It presents seven select topics related to performance modeling and engineering, while paying specific attention to disciplines involving computer, communication, and network technologies; the contributors belong to both academia and the industry. … this book is very valuable as a cohesive, collected summary for readers interested in performance modeling." (Srini Ramaswamy and Sithu D. Sudarsan, ACM Computing Reviews, January, 2009)

Editors and Affiliations

  • IBM T. J. Watson Research Center, Hawthorne

    Zhen Liu, Cathy H. Xia

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