Performance by Design

Performance by Design: Computer Capacity Planning by Example

Prentice Hall, 2004, ISBN 0-13-090673-5

Daniel A. Menascé, George Mason University,

Virgilio A. F. Almeida, Federal University of Minas Gerais, Brazil,

Larry W. Dowdy, Vanderbilt University.

Detailed table of contents

Table of Contents:

Part I: The Practice of Performance Engineering
Chapter 1: Computer System Lifecycle
Chapter 2: From Systems to Descriptive Models
Chapter 3: Quantifying Performance Models
Chapter 4: Performance Engineering Methodology
Chapter 5: Case Study I: A Database Service
Chapter 6: Case Study II: A Web Server
Chapter 7: Case Study III: A Data Center
Chapter 8: Case Study IV: An E-Business Service
Chapter 9: Case Study V: A Help-Desk Service
Part II: The Theory of Performance Engineering
Chapter 10: Markov Models
Chapter 11: Single Queue Systems
Chapter 12: Single Class MVA
Chapter 13: Queuing Models with Multiple Classes
Chapter 14: Queuing Models with Load Dependent Devices
Chapter 15: Non Product-Form Queuing Models

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About the Book: Computing systems must meet increasingly strict Quality of Service (QoS) requirements for performance, availability, security, and maintainability. To achieve these goals, designers, analysts, and capacity planners need a more thorough understanding of QoS issues, and the implications of their decisions. This book presents

State-of-the-art quantitative techniques, supported by extensive numerical examples and exercises.

QoS issues in requirement analysis, specification, design, development, testing, deployment, operation, and system evolution.

Specific scenarios including e-business, database services, web services, help-desk services, and data centers.

Techniques for identifying potential congestion at both software and hardware levels.

Performance engineering concepts and tools.

Detailed solution techniques including exact and approximate MVA and Markov Chains.

Modeling of software contention, fork-and-join, high service time variability, blocking, and priority.

Several Microsoft Excel workbooks support the implementation of all formulas and models discussed in the book.

About the Authors: Dr. Daniel A. Menascé is a Professor of Computer Science at George Mason University, Virginia. He received a Ph.D. in Computer Science from the University of California at Los Angeles (UCLA) and was elected a Fellow of the ACM in 1997 in recognition of outstanding technical and professional achievements in the field of information technology. He received the 2001 A.A. Michelson Award from the Computer Measurement Group for lifetime contributions to computer metrics. Dr. Virgilio A. F. Almeida is a Professor and Chair of Computer Science at the Federal University of Minas Gerais, Brazil. He received a Ph.D. in Computer Science from Vanderbilt University and held visiting positions at Boston University, Xerox Palo Alto Research Center, and HP Labs in Palo Alto. Dr. Larry Dowdy is a Professor and former Chair of Computer Science at Vanderbilt University. He received a Ph.D. in Computer Science from Duke University.

Also from Menascé and Almeida: Capacity Planning for Web Services: metrics, models, and methods, Prentice Hall, 2002, and Scaling for E-Business: technologies, models, performance, and capacity planning, Prentice Hall, 2000.

Also from Menascé, Almeida, and Dowdy: Capacity Planning and Performance Modeling: from mainframes to client/server systems, Prentice Hall, 1994.

Last updated: December 24, 2003.