Performance, Reliability, and Availability Evaluation of Computational Systems, Volume I: Performance and Background

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.

本教科書旨在成為一本全面且相對獨立的兩卷本，涵蓋性能、可靠性和可用性評估的主題。這兩卷本主要關注計算系統，但方法也可應用於其他系統。第一卷涵蓋第1章到第14章，副標題為"性能建模和背景"。第二卷涵蓋第15章到第25章，副標題為"可靠性和可用性建模、測量和工作量，以及生命週期數據分析"。

這本教材對於計算機性能專業人士在計劃、設計、配置和調整計算系統的性能、可靠性和可用性方面提供了幫助。這些專業人士可以通過查看特定章節來熟悉特定主題。教材中關於計算系統的許多示例將幫助他們理解每個章節涵蓋的概念。這本教材對於教授性能、可靠性和可用性評估主題的教師也很有幫助。根據受眾的興趣和課程的持續時間，可以配置許多可能的教學內容。第1章介紹了使用本教材組織課程的許多可能方案。

第一卷由第一部分和第二部分組成，除了第1章。第一部分提供了後續部分所需的知識。該部分包括六章。它涵蓋了概率介紹、描述性統計和探索性數據分析、隨機變量、矩、協方差、一些有用的離散和連續隨機變量、泰勒級數、推斷方法、分布擬合、回歸、插值、數據縮放、距離度量和一些聚類方法。第二部分介紹了性能評估建模的方法，例如操作分析、離散時間馬可夫鏈（DTMC）和連續時間馬可夫鏈（CTMC）、馬可夫隊列、隨機Petri網（SPN）和離散事件模擬。

Paulo Romero Martins Maciel is Full Professor at Centro de Informática da Universidade Federal de Pernambuco (UFPE), Brazil

Paulo Romero Martins Maciel 是巴西聖埃斯皮里圖聯邦大學（UFPE）資訊中心的正教授。