Computer Performance Modeling Handbook

Computer Performance Modeling Handbook

As computers become more complex, the number and complexity of the tasks facing the computer architect have increased. Computer performance often depends in complex way on the design parameters and intuition that must be supplemented by performance studies to enhance design productivity. This book introduces computer architects to computer system performance models and shows how they are relatively simple, inexpensive to implement, and sufficiently accurate for most purposes. It discusses the development of performance models based on queuing theory and probability. The text also shows how they are used to provide quick approximate calculations to indicate basic performance tradeoffs and narrow the range of parameters to consider when determining system configurations. It illustrates how performance models can demonstrate how a memory system is to be configured, what the cache structure should be, and what incremental changes in cache size can have on the miss rate. A particularly deep knowledge of probability theory or any other mathematical field to understand the papers in this volume is not required.

Computer system performance evaluation is a key discipline for the understanding of the behavior and limitations of large scale computer systems and networks. This volume provides an overview of the milestones and major developments of the field.The contributions to the book include many of the principal leaders from industry and academia with a truly international coverage, including several IEEE and ACM Fellows, two Fellows of the US National Academy of Engineering and a Fellow of the European Academy, and a former President of the Association of Computing Machinery.

Computer system performance evaluation is a key discipline for the understanding of the behavior and limitations of large scale computer systems and networks. This volume provides an overview of the milestones and major developments of the field. The contributions to the book include many of the principal leaders from industry and academia with a truly international coverage, including several IEEE and ACM Fellows, two Fellows of the US National Academy of Engineering and a Fellow of the European Academy, and a former President of the Association of Computing Machinery. Contents:Ken Sevcik as an Advisor and Mentor (E Lazowska et al.)Shadow Servers and Priority Scheduling (J P Buzen)On the Chronology of Dynamic Allocation Index Policies: The Pioneering Work of K C Sevcik (E Coffman)Operational Analysis (P J Denning)Function Approximation by Random Neural Networks with a Bounded Number of Layers (E Gelenbe et al.)The Achilles' Heel of Computer Performance Modeling and the Model Building Shield (V De Nitto Personè & G Lazeolla)Wireless Network Simulation: Towards a Systematic Approach (S K Tripathi et al.)Location- and Power-Aware Protocols for Wireless Networks with Asymmetric Links (G Wang et al.)Multi-Threaded Servers with High Service Time Variation for Layered Queueing Networks (G Franks et al.)Quantiles of Sojourn Times (P G Harrison & W J Knottenbelt)Asymptotic Solutions for Two Non-Stationary Problems in Internet Reliability (Y Kogan & G Choudhury)Burst Loss Probabilities in an OBS Network with Dynamic Simultaneous Link Possession (T Battestilli & H Perros)Stochastic Analysis of Resource Allocation in Parallel Processing Systems (M S Squillante)Periodic Task Cluster Scheduling in Distributed Systems (H Karatza) Readership: Graduate students, Internet engineers, computer scientists, system engineers, and computer designers. Also suitable for use in professional development seminars in computers and networks. Keywords:Computer Networks;Distributed Systems;Performance Analysis of Computer Systems;Performance Control and Optimization;System Performance Evaluation;Analytic Models;Simulation Methods

Computing Handbook, Third Edition: Computer Science and Software Engineering mirrors the modern taxonomy of computer science and software engineering as described by the Association for Computing Machinery (ACM) and the IEEE Computer Society (IEEE-CS). Written by established leading experts and influential young researchers, the first volume of this popular handbook examines the elements involved in designing and implementing software, new areas in which computers are being used, and ways to solve computing problems. The book also explores our current understanding of software engineering and its effect on the practice of software development and the education of software professionals. Like the second volume, this first volume describes what occurs in research laboratories, educational institutions, and public and private organizations to advance the effective development and use of computers and computing in today’s world. Research-level survey articles provide deep insights into the computing discipline, enabling readers to understand the principles and practices that drive computing education, research, and development in the twenty-first century.

This book is focused on the performance evaluation of database machines, i.e., special-purpose architectures specifically meant to improve the efficiency of database applications. The topic is of primary interest because of the need to compare these systems among themselves and with traditional database management systems. The book gathers the experience of several European research groups in modeling and analyzing the database machine architectures they have proposed. It deals both with the main methodological issues and with the detailed analysis of some relevant problems. It also includes an extensive annotated bibliography with more than one hundred references and several keys for the access to the literature.

The text is designed for engineering students at the senior undergraduate level and first-year students at graduate level, and professionals (R&D engineers in the industry and factory managers). The authors offer a unique effort in presenting a unified and systematic treatment of various modeling methodologies and analysis techniques for performance evaluation of automated manufacturing systems. The text begins with an overview of automated manufacturing systems, and then provides a clear and comprehensive discussion of three principal analytical modeling paradigms: Markov Chains, Queues and Queuing Networks, and Petri Nets. Salient Features • Present the first ever treatment of the mathematical modeling of manufacturing systems. • Offers a unified study of principal analytical modeling paradigms for automated manufacturing systems. • Discusses many recent research contributions in the area of modeling of automated manufacturing systems. • Discusses many recent research contributions in the area of modeling of automated manufacturing systems, including deadlock modeling, transient analysis, queuing network approximations, Petri Net modeling, and integrated analytical modeling. • Provides a large number of exercises and problems.