Advertisement

Analyzing Computer System Performance with Perl::PDQ

  • Neil J. Gunther
Book

Table of contents

  1. Front Matter
    Pages i-xxiii
  2. Theory of System Performance Analysis

    1. Front Matter
      Pages 1-1
    2. Neil J. Gunther
      Pages 3-46
    3. Neil J. Gunther
      Pages 47-117
    4. Neil J. Gunther
      Pages 119-165
    5. Neil J. Gunther
      Pages 167-190
    6. Neil J. Gunther
      Pages 191-212
  3. Practice of System Performance Analysis

    1. Front Matter
      Pages 213-213
    2. Neil J. Gunther
      Pages 215-265
    3. Neil J. Gunther
      Pages 267-299
    4. Neil J. Gunther
      Pages 301-316
    5. Neil J. Gunther
      Pages 317-339
    6. Neil J. Gunther
      Pages 341-370
  4. Back Matter
    Pages 371-436

About this book

Introduction

Analyzing computer system performance is often regarded by most system administrators, IT professionals and software engineers as a black art that is too time consuming to learn and apply. Finally, this book by acclaimed performance analyst Dr. Neil Gunther makes this subject understandable and applicable through programmatic examples. The means to this end is the open-source performance analyzer Pretty Damn Quick (PDQ) written in Perl and available for download from the author’s Website: www.perfdynamics.com.

As the epigraph in this book points out, Common sense is the pitfall of performance analysis. The performance analysis framework that replaces common sense is revealed in the first few chapters of Part I. The important queueing concepts embedded in PDQ are explained in a very simple style that does not require any knowledge of formal probability theory. Part II begins with a full specification of how to set up and use PDQ replete with examples written in Perl. Subsequent chapters present applications of PDQ to the performance analysis of multicomputer architectures, benchmark results, client/server scalability, and Web-based applications. The examples are not mere academic toys but are based on the author's experience analyzing the performance of large-scale systems over the past 20 years. By following his lead, you will quickly be able to set up your own Perl scripts for collecting data and exploring performance-by-design alternatives without inflating your manager’s schedule.

Keywords

Information Technology (IT) Linux Open-Source Perl Scala architecture calculus computer computer architecture design performance software system administrator system theory time

Authors and affiliations

  • Neil J. Gunther
    • 1
  1. 1.Performance Dynamics CompanyCaliforniaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-26860-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2005
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-20865-5
  • Online ISBN 978-3-540-26860-4
  • Buy this book on publisher's site