Performance by Design
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Performance by Design: Computer Capacity Planning

Performance by Design: Computer Capacity Planning


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About the Book

Table of Contents:
I. THE PRACTICE OF PERFORMANCE ENGINEERING. 1. Computer System Lifecycle. Introduction. QoS in IT Systems. Response Time. Throughput. Availability. Reliability. Security. Scalability. Extensibility. System Life Cycle. Requirements Analysis and Speci.cation. System Design. System Development. System Testing. System Deployment. System Operation. System Evolution. A Reference Model for IT Systems. Concluding Remarks. Exercises. Bibliography. 2. From Systems to Descriptive Models. Introduction. Modeling. A Simple Database Server Example. The Database Server Example: Multiple Classes. The Database Server Example: Open and Closed Classes. The Database Server Example: a Mixed Model. The Database Server Example: Types of Resources. The Database Server Example: Blocking. The Database Server Example: Software Contention. Database Example: Simultaneous Resource Possession. Database Example: Class Switching. Database Example: Queuing Disciplines. QN Models. Concluding Remarks. Exercises. Bibliography. 3. Quantifying Performance Models. Introduction. Basic Performance Results. Utilization Law. Service Demand Law. The Forced Flow Law. Little's Law. Interactive Response Time Law. Bounds on Performance. Using QN Models. Concluding Remarks. Exercises. Bibliography. 4. Performance Engineering Methodology. Introduction. Performance Engineering. Motivating Example. A Model-based Methodology. Workload Model. Types of Workload Models. Clustering Analysis. Performance Models. Specifying Performance Objectives. Specifying a Service Level Agreement. Specifying Response Time. Specifying Cost. Concluding Remarks. Exercises. Bibliography. 5. Case Study I: A Database Service. Introduction. Database Service Example. Preliminary Analysis of the Workload. Workload Clustering. Building a Performance Model. Apportioning Total Utilization to Individual Classes. Computing Service Demands. Using the Model. Adding a Third Disk. Using a Dual CPU System. Using Faster Disks. Moving to a 4-CPU System. Monitoring Tools. Hardware Monitors. Software Monitors. Hybrid Monitors. Event-trace Monitoring. Sampling Monitoring. Measurements Techniques. Obtaining Input Parameters. Measuring CPU Utilization. Overhead Representation. Arrival Rate. Concurrency Level. Number of Active Terminals and Think Time. CPU Service Demand. I/O Service Demands. Concluding Remarks. Exercises. Bibliography. 6. Case Study II: A Web Server. Introduction. The Web Server. Preliminary Analysis of the Workload. Building a Performance Model. Computing Concurrency Levels. Computing Service Demands. Using the Model. Secure Downloads. Experimental Comparison of Two Servers. Concluding Remarks. Exercises. Bibliography. 7. Case Study III: A Data Center. Introduction. The Data Center. Building a Model. Using the Model. Another Modeling Approach. A Cost Analysis. Concluding Remarks. Exercises. Bibliography. 8. Case Study IV: An E-Business Service. Introduction. The E-Business Service. The E-Business Workload. Building a Performan


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Product Details
  • ISBN-13: 9780130906731
  • Publisher: Prentice Hall (Higher Education Division, Pearson Education)
  • Publisher Imprint: Prentice Hall
  • Height: 235 mm
  • Returnable: N
  • Weight: 1076 gr
  • ISBN-10: 0130906735
  • Publisher Date: 15 Jan 2004
  • Binding: Hardback
  • Language: English
  • Sub Title: Computer Capacity Planning


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