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The Art of Computer Systems Performance Analysis: Techniques for Experimental Design, Measurement, Simulation, and Modeling

The Art of Computer Systems Performance Analysis: Techniques for Experimental Design, Measurement, Simulation, and Modeling

Raj Jain

ISBN: 978-0-471-50336-1

Apr 1991

720 pages

Select type: Hardcover

In Stock

$110.00

Description

The Art of Computer Systems Performance Analysis "At last, a welcome and needed text for computer professionals who require practical, ready-to-apply techniques for performance analysis. Highly recommended!" -Dr. Leonard Kleinrock University of California, Los Angeles "An entirely refreshing text which has just the right mixture of theory and real world practice. The book is ideal for both classroom instruction and self-study." -Dr. Raymond L. Pickholtz President, IEEE Communications Society "An extraordinarily comprehensive treatment of both theoretical and practical issues." -Dr. Jeffrey P. Buzen Internationally recognized performance analysis expert ". it is the most thorough book available to date" -Dr. Erol Gelenbe Université René Descartes, Paris ". an extraordinary book.. A worthy addition to the bookshelf of any practicing computer or communications engineer" -Dr. Vinton G. Cer??? Chairman, ACM SIGCOMM "This is an unusual object, a textbook that one wants to sit down and peruse. The prose is clear and fluent, but more important, it is witty." -Allison Mankin The Mitre Washington Networking Center Newsletter
Partial table of contents:

AN OVERVIEW OF PERFORMANCE EVALUATION.

Common Mistakes and How to Avoid Them.

Selection of Techniques and Metrics.

MEASUREMENT TECHNIQUES AND TOOLS.

Types of Workloads.

Workload Characterization Techniques.

Monitors.

Ratio Games.

PROBABILITY THEORY AND STATISTICS.

Summarizing Measured Data.

Simple Linear Regression Models.

Other Regression Models.

EXPERIMENTAL DESIGN AND ANALYSIS.

One-Factor Experiments.

Two-Factor Full Factorial Design without Replications.

Two-Factor Full Factorial Design with Replications.

SIMULATION.

Analysis of Simulation Results.

Testing Random-Number Generators.

Commonly Used Distributions.

QUEUEING MODELS.

Analysis of a Single Queue.

Operational Laws.

Convolution Algorithm.

Appendix.

Solutions to Selected Exercises.

References.

Author Index.

Subject Index.