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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.
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. Volume II is composed of the
last two parts. Part III examines reliability and availability
modeling by covering a set of fundamental notions, definitions,
redundancy procedures, and modeling methods such as Reliability
Block Diagrams (RBD) and Fault Trees (FT) with the respective
evaluation methods, adopts Markov chains, Stochastic Petri nets and
even hierarchical and heterogeneous modeling to represent more
complex systems. Part IV discusses performance measurements and
reliability data analysis. It first depicts some basic measuring
mechanisms applied in computer systems, then discusses workload
generation. After, we examine failure monitoring and fault
injection, and finally, we discuss a set of techniques for
reliability and maintainability data analysis.
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. Volume I is composed of the
first two parts, besides Chapter 1. Part I gives the knowledge
required for the subsequent parts of the text. This part includes
six chapters. It covers an introduction to probability, descriptive
statistics and exploratory data analysis, random variables,
moments, covariance, some helpful discrete and continuous random
variables, Taylor series, inference methods, distribution fitting,
regression, interpolation, data scaling, distance measures, and
some clustering methods. Part II presents methods for performance
evaluation modeling, such as operational analysis, Discrete-Time
Markov Chains (DTMC), and Continuous Time Markov Chains (CTMC),
Markovian queues, Stochastic Petri nets (SPN), and discrete event
simulation.
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