Statistical Computer Performance Evaluation
eBook - PDF

Statistical Computer Performance Evaluation

  1. 530 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Statistical Computer Performance Evaluation

Book details
Table of contents
Citations

About This Book

Statistical Computer Performance Evaluation contains the proceedings of a Conference on Statistical Computer Performance Evaluation held at Brown University in Providence, Rhode Island, on November 22-23, 1971, under the auspices of the Division of Applied Mathematics and the Center for Computer and Information Sciences. The papers review the application of quantitative, and particularly statistical, methods to the study of computer performance. Comprised of 19 chapters, this book begins with an overview of the state of the art of computer system evaluation and some quantitative methods (analytical, simulation, and empirical methods) that are applicable to the problem. A utility theoretic approach to evaluation of a time-sharing system is then described, followed by a discussion on the results of a multi-factor paging experiment. Subsequent chapters focus on statistical quantification of instruction and operand traces; measurement and improvement of program behavior under paging systems; free-storage algorithms; and probabilistic models for predicting software reliability. This monograph will be of interest to practitioners in the fields ofcomputer science and applied mathematics.

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Yes, you can access Statistical Computer Performance Evaluation by Walter Freiberger in PDF and/or ePUB format, as well as other popular books in Mathématiques & Mathématiques générales. We have over one million books available in our catalogue for you to explore.

Information

Year
2014
ISBN
9781483260945

Table of contents

  1. Front Cover
  2. Statistical Computer Performance Evaluation
  3. Copyright Page
  4. Table of Contents
  5. AUTHORS, DISCUSSANTS, AND SESSION CHAIRMEN
  6. PREFACE
  7. FOREWORD
  8. SESSION I: GENERAL APPROACHES
  9. SESSION II: EVALUATION OF CURRENT SYSTEMS
  10. SESSION III: DESIGN OF EXPERIMENTS
  11. SESSION IV: INPUT ANALYSIS
  12. SESSION V: REGRESSION ANALYSIS
  13. SESSION VI: SYSTEMS MANAGEMENT
  14. SESSION VII: SOFTWARE RELIABILITY