Introduction to Computer Performance Analysis with Mathematica
Published on 1. January 1994
Book
Mixed media product
390 pages
978-0-12-051070-2 (ISBN)
Description
"Introduction to Computer Performance Analysis with Mathematica" is designed as a beginner's guide to computer performance analysis and assumes only a basic knowledge of computers and some mathematical proficiency. The mathematical aspects have been relegated to a Mathematica program disk, allowing readers to try out most of the techniques as they work their way through the book. Ideally suited for this self-tutoring task, the use of Mathematica offers valuable properties such as visualization system for functions and data and a modeling and data analysis environment. However, no prior experience of Mathematica is required and readers should benefit from this book even if they bypass the Mathematica exercises.
More details
Series
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
College/higher education
Illustrations
references, index
Dimensions
Height: 241 mm
Width: 159 mm
Weight
731 gr
ISBN-13
978-0-12-051070-2 (9780120510702)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Content
Capacity Planning. Understanding the Current Environment. Setting Performance Objectives. Prediction of Future Workload. Evaluation of Future Configurations. Validation. The Ongoing Management Process. Performance Management Tools. Organizations and Journals for Performance Analysis. Components of Computer Performance: Central Processing Units. The Memory Hierarchy. Input Output. Basic Calculations: Model Definitions, Single Workload Class Models. Multiple Workloads Models. Basic Queueing Network Theory. Queue discipline. Queueing Network Performance. Queueing Network Laws. Little's Law. Utilization Law . Response Time Law. Forced Flow Law. Bounds and Bottlenecks. Bounds for Single Class Networks. Modeling Study Paradigm. Advantages of Queueing Theory Models. Analytic Solution Methods: Analytic Queueing Theory Network Models. Single Class Models. Multiclass Models. Priority Queueing Systems. Modeling Main Computer Memory. Model Parameterization: Measurement Tools. Model Parameterization. The Modeling Paradigm. Calculating the Parameters. Simulation and Benchmarking: Introduction to Simulation. Writing a Simulator. Simulation Languages. Simulation Summary. Benchmarking. Forecasting: NFU Time Series Forecasting. Afterward.