Capacity Planning for Web Services: Metrics, Models, and Methods by Daniel A. Menasce |
by Neil J. Gunther
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Performance by Design: Computer Capacity Planning By Example by Daniel A. Menasce |
Capacity Planning for Web Performance: Metrics, Models, and Methods by Daniel Menasce |
by Neil Gunther
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Product Description
This example-driven, easy-to-read exploration of capacity planning of computer systems is designed to be accessible and relevant both to practising professionals and those with little mathematical background. Each chapter begins with an example, then guides the reader through the solution of the original problem via the solution of several smaller and simpler problems. In each case, the solution is based upon first principles and intuition. It draws examples from three current computing environments - centralized systems, distributed systems and parallel processing systems. The book is accompanied by a disk containing a modified version of QSolver/1, a capacity planning modelling package.
From the Publisher
This example-driven, easy-to-read exploration of capacity planning of computer systems is designed to be accessible and relevant to both practicing professionals and those with little mathematical background.
This example-driven, easy-to-read exploration of capacity planning of computer systems is designed to be accessible and relevant both to practising professionals and those with little mathematical background. Each chapter begins with an example, then guides the reader through the solution of the original problem via the solution of several smaller and simpler problems. In each case, the solution is based upon first principles and intuition. It draws examples from three current computing environments - centralized systems, distributed systems and parallel processing systems. The book is accompanied by a disk containing a modified version of QSolver/1, a capacity planning modelling package.
From the Publisher
This example-driven, easy-to-read exploration of capacity planning of computer systems is designed to be accessible and relevant to both practicing professionals and those with little mathematical background.
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Inside This Book
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Key Phrases - Statistically Improbable Phrases (SIPs):
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closed models, intercluster distance matrix, disk service demands, mean multiprogramming level, capacity planning analyst, workload intensity parameters, maximum multiprogramming level, capacity planning questions, simple bounding techniques, transaction system example, average service demand, closed submodel, forced flow law, specific system being modeled, open submodel, obtaining input parameters, uncalibrated model, file service requests, multiclass model, capacity planning project, memory queuing, capacity planning study, appropriate state description, disk service time, output performance metrics Key Phrases - Capitalized Phrases (CAPs): (learn more)
Capacity Planning Methodology Chap, Performance Models Chap, Models of Practical Computer Systems Chap, Obtaining Input Parameters Chap, Multiple-Class Models Chap, Performance of Client-Server Architectures Chap, Performance of New Applications Chap, Prentice Hall, Intuitive Solutions Chap, Englewood Cliffs, New York, The Capacity Planning Problem Chap, Theoretical System, Example Consider, Basic Central Server System, Simple Server System, Understanding the Current Environment, Modeling Disk Subsystems, The Problem of Workload Characterization, Parameter Estimation, Workload Partitioning Based, San Mateo, Morgan Kaufmann, Input Parameter Description, International Conference Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
closed models, intercluster distance matrix, disk service demands, mean multiprogramming level, capacity planning analyst, workload intensity parameters, maximum multiprogramming level, capacity planning questions, simple bounding techniques, transaction system example, average service demand, closed submodel, forced flow law, specific system being modeled, open submodel, obtaining input parameters, uncalibrated model, file service requests, multiclass model, capacity planning project, memory queuing, capacity planning study, appropriate state description, disk service time, output performance metrics Key Phrases - Capitalized Phrases (CAPs): (learn more)
Capacity Planning Methodology Chap, Performance Models Chap, Models of Practical Computer Systems Chap, Obtaining Input Parameters Chap, Multiple-Class Models Chap, Performance of Client-Server Architectures Chap, Performance of New Applications Chap, Prentice Hall, Intuitive Solutions Chap, Englewood Cliffs, New York, The Capacity Planning Problem Chap, Theoretical System, Example Consider, Basic Central Server System, Simple Server System, Understanding the Current Environment, Modeling Disk Subsystems, The Problem of Workload Characterization, Parameter Estimation, Workload Partitioning Based, San Mateo, Morgan Kaufmann, Input Parameter Description, International Conference Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
6
books
cite this book:
See all 6 books citing this book
- Formal Techniques for Networked and Distributed Systems - FORTE 2003: 23rd IFIP WG 6.1 International Conference, Berlin, Germany, September 29 -- October 2, 2003 (Lecture Notes in Computer Science) by Hartmut König in Back Matter
- Computer Performance Evaluation. Modelling Techniques and Tools: 11th International Conference, TOOLS 2000 Schaumburg, IL, USA, March 25-31, 2000 Proceedings (Lecture Notes in Computer Science) by Boudewijn R. Haverkort on page 344
- Quantitative Evaluation of Computing and Communication Systems: 8th International Conference on Modelling Techniques and Tools for Computer Performance ... Septem (Lecture Notes in Computer Science) by Heinz Beilner on page 326
- Object-Oriented Discrete-Event Simulation with Java - A Practical Introduction (SERIES IN COMPUTER SYSTEMS (previously: The Plenum Series in Computer (Series in Computer Science) by José M. Garrido in Back Matter
- Probability and Statistics with Reliability, Queueing, and Computer Science Applications, 2nd Edition by Kishor Shridharbhai Trivedi in Back Matter
See all 6 books citing this book
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