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Computer Systems Organization -- Performance of Systems.
In this book, Krishna Kant provides a completely up-to-date treatment of the fundamental techniques of computer system performance modeling and evaluation. He discusses measurement, simulation, and analysis, and places a strong emphasis on analysis by including such topics as basic and advanced queuing theory, product form networks, aggregation, decomposition, performance bounds, and various forms of approximations. Applications involving synchronization between various activities are presented in a chapter on Petri net-based performance modeling, and a final chapter covers a wide range of problems involving steady state analysis, transient analysis, and optimization.
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.
An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications Second edition now also available in Paperback. This updated and revised edition of the popular classic first edition relates fundamental concepts in probability and statistics to the computer sciences and engineering. The author uses Markov chains and other statistical tools to illustrate processes in reliability of computer systems and networks, fault tolerance, and performance. This edition features an entirely new section on stochastic Petri nets—as well as new sections on system availability modeling, wireless system modeling, numerical solution techniques for Markov chains, and software reliability modeling, among other subjects. Extensive revisions take new developments in solution techniques and applications into account and bring this work totally up to date. It includes more than 200 worked examples and self-study exercises for each section. Probability and Statistics with Reliability, Queuing and Computer Science Applications, Second Edition offers a comprehensive introduction to probability, stochastic processes, and statistics for students of computer science, electrical and computer engineering, and applied mathematics. Its wealth of practical examples and up-to-date information makes it an excellent resource for practitioners as well. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.
Computer Systems Performance Evaluation and Prediction bridges the gap from academic to professional analysis of computer performance. This book makes analytic, simulation and instrumentation based modeling and performance evaluation of computer systems components understandable to a wide audience of computer systems designers, developers, administrators, managers and users. The book assumes familiarity with computer systems architecture, computer systems software, computer networks and mathematics including calculus and linear algebra. · Fills the void between engineering practice and the academic domain's treatment of computer systems performance evaluation and assessment · Provides a single source where the professional or student can learn how to perform computer systems engineering tradeoff analysis · Allows managers to realize cost effective yet optimal computer systems tuned to a specific application
Lectures on the measurement and evaluation of the performance of general purpose computing systems.
Proceedings of the Third Workshop on Computer Algebra in Scientific Computing, Samarkand, Octobe5r 5-9, 2000
The seminal guide to performance analysis, with new information and essential advice The Art of Computer Systems Performance Analysis is the essential guide to practical performance analysis tools and techniques. This easy to follow guide presents a unique blend of measurement, simulation, and modeling methods in a straightforward, problem-oriented fashion, and integrates essential queuing theory with data analysis, experimental design, and the most powerful tools in performance analysis. This updated edition includes new chapters on Time Series Analysis and Long-Range Dependence, over 150 updated examples and cases studies, and a host of special tricks that demonstrate system superiority. Instructor's Materials, including PowerPoint slides, syllabus, and solutions for expanded exercises beyond the end-of-chapter exercises, is available making it ideal for classroom use. Performance testing measures a system's responsiveness and stability under a particular workload, and can serve to investigate, measure, validate, or verify other quality attributes of the system, including scalability, reliability, and resource usage. This book is the seminal work on the topic, providing expert guidance to systems professionals for over twenty-two years. Comprehensive coverage of all aspects of performance measurement makes it a valuable resource for students and professionals alike. Understand technique and metric criteria, and avoid common mistakes Collect, analyze, and present measurement data with the most powerful techniques Provide the maximum amount of information with the minimum number of experiments Determine the number of sizes of components required (capacity planning) Evaluate design alternatives, correctly compare two or more systems, and determine the optimal value of a parameter (system tuning) Analysis in technology using statistics and other methodologies has become one of the most important, in-demand skills in the corporate and enterprise world. While practitioners may create new systems, they are often asked to modify, expand, or document existing systems – many of which have been grown haphazardly. Art of Computer Systems Performance Analysis provides the information, skills, and tools analysts need to tackle any system with confidence.