The Art of Computer Systems Performance Analysis: Techniques for Experimental Design, Measurement, Simulation, and ModelingThe 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 |
Contents
AN OVERVIEW OF PERFORMANCE | 1 |
CONTENTS | 11 |
Common Mistakes and How to Avoid Them | 14 |
Copyright | |
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Common terms and phrases
algorithm alternatives analysis analyze autocovariance average b₁ batch benchmark bytes cache called chart cluster coefficient coefficient of determination column components computer systems confidence interval degrees of freedom discussed disk I/O's effects errors estimated example experimental design experiments factors fractional factorial design function Gantt chart histogram input integer interactions Kiviat graph linear measured MIPS multiplicative normal quantile-quantile plot normally distributed number of disk observations obtained packets parameters predictor variables problem processor quantile quantile-quantile plot queue random numbers random variables random-number ratio regression model replications requests residuals resource RISC sample Section sequence shown in Figure shown in Table software monitor specified SSAB standard deviation statistical sum of squares techniques throughput tion transformation valid values variance versus predicted response workload zero