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Performance Modeling and Engineering (eBook)

Zhen Liu, Cathy H. Xia (Herausgeber)

eBook Download: PDF
2008 | 2008
XVI, 219 Seiten
Springer US (Verlag)
978-0-387-79361-0 (ISBN)

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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.
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.

Performance Design and Engineering.- Machine Learning Techniques—Reductions Between Prediction Quality Metrics.- Performance Engineering and Management Method — A Holistic Approach to Performance Engineering.- Economic Models of Communication Networks.- Algorithmic Methods for Sponsored Search Advertising.- Scheduling and Control.- Advances in Oblivious Routing of Internet Traffic.- Network Scheduling and Message-passing.- to Control Theory And Its Application to Computing Systems.

Erscheint lt. Verlag 12.4.2008
Zusatzinfo XVI, 219 p. 49 illus.
Verlagsort New York
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Netzwerke
Mathematik / Informatik Informatik Theorie / Studium
Informatik Weitere Themen Hardware
Schlagworte algorithms • Architecture • Communication • economics of networks • network design • Networked Applications • optimal control • Performance Engineering • performance modeling • performance optimization • System
ISBN-10 0-387-79361-5 / 0387793615
ISBN-13 978-0-387-79361-0 / 9780387793610
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