Overview
- New chapters on queues, tools and virtualization
- New Perl listing format to aid readability of PDQ models
- Fully compatible with latest PDQ 5.0 software release
- Crowd-sourced corrigenda to first edition has been included
- Includes supplementary material: sn.pub/extras
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (13 chapters)
-
Front Matter
-
Preliminary Concepts
-
Front Matter
-
-
Basic Queueing Theory for PDQ
-
Front Matter
-
-
Back Matter
Keywords
About this book
To solve performance problems in modern computing infrastructures, often comprising thousands of servers running hundreds of applications, spanning multiple tiers, you need tools that go beyond mere reporting. You need tools that enable performance analysis of application workflow across the entire enterprise. That's what PDQ (Pretty Damn Quick) provides. PDQ is an open-source performance analyzer based on the paradigm of queues. Queues are ubiquitous in every computing environment as buffers, and since any application architecture can be represented as a circuit of queueing delays, PDQ is a natural fit for analyzing system performance.
Building on the success of the first edition, this considerably expanded second edition now comprises four parts. Part I contains the foundational concepts, as well as a new first chapter that explains the central role of queues in successful performance analysis. Part II provides the basics of queueing theory in a highly intelligible style for the non-mathematician; little more than high-school algebra being required. Part III presents many practical examples of how PDQ can be applied. The PDQ manual has been relegated to an appendix in Part IV, along with solutions to the exercises contained in each chapter.
Throughout, the Perl code listings have been newly formatted to improve readability. The PDQ code and updates to the PDQ manual are available from the author's web site at www.perfdynamics.comReviews
From the reviews
"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
From the reviews of the second edition:
“Besides its case studies on applying queueing theory to the analysis of computer performance, this book on queueing circuits also includes a quick user guide to Perl Pretty Damn Quick (PDQ), a reference manual, and numerous examples. … The book is written to be a field manual for enlightened practitioners of performance analysis, or possibly a school textbook. … It is a laudable achievement to make performance analysis theoretical foundations available to anyone who is interested and can master high-school algebra.” (A. Squassabia, ACM Computing Reviews, December, 2011)
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Analyzing Computer System Performance with Perl::PDQ
Authors: Neil J. Gunther
DOI: https://doi.org/10.1007/978-3-642-22583-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2011
Hardcover ISBN: 978-3-642-22582-6Published: 30 July 2011
Softcover ISBN: 978-3-642-43713-7Published: 28 November 2014
eBook ISBN: 978-3-642-22583-3Published: 30 July 2011
Edition Number: 2
Number of Pages: XXVIII, 474
Topics: Software Engineering, System Performance and Evaluation, Operating Systems, Management of Computing and Information Systems