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When you see Tales from the Field in the text, you re reading our (only slightly lionized) recounts of experiences that stand out as examples of truly bad or truly good design We have sought to provide balance in our treatment of this material Engineering always involves trade-offs between cost and functionality, between time to market and features, and between optimization for speed and designing for safety We treat availability as an end-to-end network computing problem one in which availability is just as important as performance As you read through this book, whether sequentially by chapter or randomly based on particular interests and issues, bear in mind that you choose the trade-offs Cost, complexity, and level of availability are all knobs that you can turn; our job is to offer you guidance in deciding just how far each should be turned for any particular application and environment.



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1 Long-range dependence is sometimes referred to as ``long memory'' or ``second-order asymptotic selfsimilarity.'' 2 The index f indicates that this constant is in force in the frequency domain. The corresponding constant appearing in the autocovariance is denoted cr . One can also replace these constants by slowly varying functions but for the sake of simplicity, we will not do this here. 3 Discrete standard FGN is the time series X j BH j 1 BH j , j 0; 1; . . . ; where BH is FBM. Its spectral density satis es GX n GX n , and because it is a discrete-time sequence, GX n is concentrated on the interval [ 1 ; 1 . 2 2

ck;j t k I ftk;j > t kg ;





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We would like to thank the entire editorial team at John Wiley & Sons Carol Long believed in our idea enough to turn it into a proposal, and then she coached, cajoled, and even tempted us with nice lunches to elevate our efforts into what you re reading now Special thanks also to Christina Berry and Micheline Frederick for their editorial and production work and suggestions that improved the overall readability and flow of the book You have been a first-rate team, and we owe you a debt of gratitude for standing by us for the past 18 months..

8:11

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This book is the product of more than 2 years of preparation and writing, more than 7 years of working with highly available systems (and systems that people thought were highly available), and more than 15 years of general experience with computer systems Having worked in technical roles for consulting companies specializing in high availability and for software vendors with HA products, I found myself answering the same kinds of questions over and over The questions inevitably are about getting the highest possible degree of availability from critical systems The systems and the applications that run on them may change, but the questions about availability really don t I kept looking for a book on this subject, but never could find one.

where I A is an indicator function of the event, 1; if tk;j > t k; I ftk;j > t kg 0; otherwise: Pk Here and later we assume that the sum i j equals zero (independent of its argument) if k < j. The random variable Yt is the total cell generation rate from all active sources at time t. If EYt < I, the process Y is stationary and ergodic. Process Y can also be obtained as a sum of the processes of M independent sources, where each source can be in only the active or passive state. In the passive state, a source does not generate cells, while in the active state it generates cells with rate ct;i n . Suppose that the length of the passive period u is an arbitrary random variable with mean u, and the length of active periods is tt;i . If we now consider M 3 I, so that M = Ett;i 3 l and Prfu < M g 3 0, then the obtained process u will be statistically the same as the process Y . Let us calculate the mean, variance, and autocorrelation function of the process Y . From Eq. (8.11), considering that the variance of the sum of independent random variables is equal to the sum of variance, we have " # yk t P P 2 s Var Yt Var ck;j t k I ftk;j > t kg :

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