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Workload Characterization for Computer System Design

  • Lizy Kurian John
  • Ann Marie Grizzaffi Maynard
Book

Table of contents

  1. Front Matter
    Pages i-ix
  2. Andrea Barisone, Francesco Bellotti, Riccardo Berta, Alessandro De Gloria
    Pages 1-24
  3. Jin-Soo Kim, Yarsun Hsu
    Pages 25-48
  4. Prasant Mohapatra, Hariharan Thantry, Krishna Kant
    Pages 73-86
  5. Krishna Kant, Youjip Won
    Pages 87-104
  6. Stevan Vlaovic, Richard Uhlig
    Pages 105-134
  7. Patrick Crowley, Marc E. Fiuczynski, Jean-Loup Baer, Brian Bershad
    Pages 135-147
  8. Anasua Bhowmik, Manoj Franklin
    Pages 149-170
  9. Nissim Harel, Vivekanand Vellanki, Ann Chervenak, Gregory Abowd, Umakishore Ramachandran
    Pages 191-209
  10. Back Matter
    Pages 211-213

About this book

Introduction

The advent of the world-wide web and web-based applications have dramatically changed the nature of computer applications. Computer system design, in the light of these changes, involves understanding these modem workloads, identifying bottlenecks during their execution, and appropriately tailoring microprocessors, memory systems, and the overall system to minimize bottlenecks. This book contains ten chapters dealing with several contemporary programming paradigms including Java, web server and database workloads. The first two chapters concentrate on Java. While Barisone et al.'s characterization in Chapter 1 deals with instruction set usage of Java applications, Kim et al.'s analysis in Chapter 2 focuses on memory referencing behavior of Java workloads. Several applications including the SPECjvm98 suite are studied using interpreter and Just-In-Time (TIT) compilers. Barisone et al.'s work includes an analytical model to compute the utilization of various functional units. Kim et al. present information on locality, live-range of objects, object lifetime distribution, etc. Studying database workloads has been a challenge to research groups, due to the difficulty in accessing standard benchmarks. Configuring hardware and software for database benchmarks such as those from the Transactions Processing Council (TPC) requires extensive effort. In Chapter 3, Keeton and Patterson present a simplified workload (microbenchmark) that approximates the characteristics of complex standardized benchmarks.

Keywords

Java Java Virtual Machine Performance Text programming system virtual machine

Editors and affiliations

  • Lizy Kurian John
    • 1
  • Ann Marie Grizzaffi Maynard
    • 2
  1. 1.The University of Texas at AustinUSA
  2. 2.IBM Austin Research LaboratoryUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-4387-9
  • Copyright Information Kluwer Academic Publishers 2000
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-6973-8
  • Online ISBN 978-1-4615-4387-9
  • Series Print ISSN 0893-3405
  • Buy this book on publisher's site