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Analyzing Computer System Performance with Perl


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Table of Contents

Part I Preliminary Concepts.- Why Queues Rule Performance Analysis.- Measurement Tools and Techniques.- Time - The Zeroth Performance Metric.- Part II Basic Queueing Theory for PDQ.- Getting the Jump on Queueing.- Queueing Systems for Computer Systems.- Linux Load Average.- Performance Bounds and Log Jams.- Part III Practical Application of PDQ.- Pretty Damn Quick|A Slow Introduction.- Multicomputer Analysis with PDQ.- How to Scale an Elephant with PDQ.- Client/Server Analysis with PDQ.- Web Application Analysis with PDQ.- Virtual Machine Analysis with PDQ.- Part IV Appendices.- Thanks for No Memories.- Compendium of Queueing Equations.- Units and Abbreviations.- Perl PDQ Manual.- Solutions to Selected Exercises.

About the Author

Neil Gunther, M.Sc., Ph.D. is an internationally recognized computer performance researcher who founded Performance Dynamics Company ( in 1994, after having held both university teaching positions and management positions at Xerox PARC and Pyramid-Siemens Technology. In 2008 Dr. Gunther received the prestigious A.A. Michelson Award from CMG. In 2009, he was elected Senior Member of both the ACM and IEEE. Read more about him at


"The literature of computer performance analysis is generally composed of two groups: heavy theoretical treatises and performance cookbooks. [!] Surprisingly, this book is exceptionally well balanced between theory and practice [!] . I strongly recommend this book, both for the novice practitioner and for the experienced performance analyst. Both can extract a vast array of benefits, ranging from understanding the theoretical concepts of performance modeling, to building for themselves a powerful modeling tool [!] ." Jair Merlo, Computing Reviews, May 2005

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