Computer Systems Performance Evaluation and Prediction

Nonfiction, Computers, Advanced Computing, Engineering, Computer Engineering, Operating Systems, General Computing
Cover of the book Computer Systems Performance Evaluation and Prediction by Paul Fortier, D.Sc., Howard Michel, Ph.D., Elsevier Science
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Author: Paul Fortier, D.Sc., Howard Michel, Ph.D. ISBN: 9780080502601
Publisher: Elsevier Science Publication: July 9, 2003
Imprint: Digital Press Language: English
Author: Paul Fortier, D.Sc., Howard Michel, Ph.D.
ISBN: 9780080502601
Publisher: Elsevier Science
Publication: July 9, 2003
Imprint: Digital Press
Language: English

Computer Systems Performance Evaluation and Prediction bridges the gap from academic to professional analysis of computer performance.

This book makes analytic, simulation and instrumentation based modeling and performance evaluation of computer systems components understandable to a wide audience of computer systems designers, developers, administrators, managers and users. The book assumes familiarity with computer systems architecture, computer systems software, computer networks and mathematics including calculus and linear algebra.

· Fills the void between engineering practice and the academic domain's treatment of computer systems performance evaluation and assessment
· Provides a single source where the professional or student can learn how to perform computer systems engineering tradeoff analysis
· Allows managers to realize cost effective yet optimal computer systems tuned to a specific application

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Computer Systems Performance Evaluation and Prediction bridges the gap from academic to professional analysis of computer performance.

This book makes analytic, simulation and instrumentation based modeling and performance evaluation of computer systems components understandable to a wide audience of computer systems designers, developers, administrators, managers and users. The book assumes familiarity with computer systems architecture, computer systems software, computer networks and mathematics including calculus and linear algebra.

· Fills the void between engineering practice and the academic domain's treatment of computer systems performance evaluation and assessment
· Provides a single source where the professional or student can learn how to perform computer systems engineering tradeoff analysis
· Allows managers to realize cost effective yet optimal computer systems tuned to a specific application

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