Performance, Reliability and Availability Evaluation of Computational Systems - Maciel, Paulo Romero Martins; - Prospero Internetes Könyváruház

Performance, Reliability and Availability Evaluation of Computational Systems

 
Kiadás sorszáma: 1
Kiadó: CRC Press
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GBP 190.00
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Kedvezmény(ek): 20% (kb. 19 431 Ft)
A kedvezmény érvényes eddig: 2024. december 31.
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Rövid leírás:

This textbook intends to be a comprehensive and substantially self-contained two-volume book covering performance, reliability, and availability evaluation subjects. This textbook intends to be a comprehensive and substantially self-contained two-volume book covering performance, reliability, and availability evaluation subjects.

Hosszú leírás:

This textbook intends to be a comprehensive and substantially self-contained two-volume book covering performance, reliability, and availability evaluation subjects. The volumes focus on computing systems, although the methods may also be applied to other systems. The first volume covers Chapter 1 to Chapter 14, whose subtitle is ``Performance Modeling and Background". The second volume encompasses Chapter 15 to Chapter 25 and has the subtitle ``Reliability and Availability Modeling, Measuring and Workload, and Lifetime Data Analysis".


 


This text is helpful for computer performance professionals for supporting planning, design, configuring, and tuning the performance, reliability, and availability of computing systems. Such professionals may use these volumes to get acquainted with specific subjects by looking at the particular chapters. Many examples in the textbook on computing systems will help them understand the concepts covered in each chapter. The text may also be helpful for the instructor who teaches performance, reliability, and availability evaluation subjects. Many possible threads could be configured according to the interest of the audience and the duration of the course. Chapter 1 presents a good number of possible courses programs that could be organized using this text.

Tartalomjegyzék:

Chapter 1 Introduction


PART I Fundamental Concepts


Chapter 2 Introduction to Probability


Chapter 3 Exploratory Data Analysis


Chapter 4 Introduction to Random Variables


Chapter 5 Some Important Random Variables


Chapter 6 Statistical Inference and Data Fitting


Chapter 7 Data Scaling, Distances and Clustering


PART II Performance Modeling


Chapter 8 Operational Analysis


Chapter 9 Discrete Time Markov Chain


Chapter 10 Continuous Time Markov Chain


Chapter 11 Basic Queueing Models


Chapter 12 Petri Nets


Chapter 13 Stochastic Petri Nets


Chapter 14 Stochastic Simulation


PART III Reliability and AvailabilityModeling


Chapter 15 Fundamentals of Dependability


Chapter 16 Redundancy


Chapter 17 Reliability Block Diagram


Chapter 18 Fault Tree


Chapter 19 CombinatorialModel Analysis


Chapter 20 Modeling Availability, Reliability and Capacity with CTMC


Chapter 21 Modeling Availability, Reliability and Capacity with SPN


PART IV Measuring and Data Analysis


Chapter 22 PerformanceMeasuring


Chapter 23 Workload Characterization


Chapter 24 Life Time Data Analysis


Chapter 25 Fault Injection and Failure Monitoring


Appendix A Whetsone


Appendix B Linpack˙Bench


Appendix C Livermore Loops


Appendix D MMP - CTMC Trace Generator