<電子ブック>
Computing System Reliability : Models and Analysis / by Min Xie, Kim-Leng Poh, Yuan-Shun Dai
版 | 1st ed. 2004. |
---|---|
出版者 | (New York, NY : Springer US : Imprint: Springer) |
出版年 | 2004 |
本文言語 | 英語 |
大きさ | XIII, 293 p. 14 illus : online resource |
著者標目 | *Min Xie author Kim-Leng Poh author Yuan-Shun Dai author SpringerLink (Online service) |
件 名 | LCSH:Mathematical models LCSH:Computer science LCSH:Microprocessors LCSH:Computer architecture LCSH:Mathematical logic LCSH:Software engineering FREE:Mathematical Modeling and Industrial Mathematics FREE:Computer Science FREE:Processor Architectures FREE:Mathematical Logic and Foundations FREE:Software Engineering |
一般注記 | Basic Reliability Concepts and Analysis -- Models for Hardware System Reliability -- Models for Software Reliability -- Models for Integrated Systems -- Availability and Reliability of Distributed Computing Systems -- Reliability of Grid Computing Systems -- Multi-state System Reliability -- Optimal System Design and Resource Allocation Computing systems are of growing importance because of their wide use in many areas including those in safety-critical systems. This book describes the basic models and approaches to the reliability analysis of such systems. An extensive review is provided and models are categorized into different types. Some Markov models are extended to the analysis of some specific computing systems such as combined software and hardware, imperfect debugging processes, failure correlation, multi-state systems, heterogeneous subsystems, etc. One of the aims of the presentation is that based on the sound analysis and simplicity of the approaches, the use of Markov models can be better implemented in the computing system reliability HTTP:URL=https://doi.org/10.1007/b100619 |
目次/あらすじ
所蔵情報を非表示
電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
電子ブック | オンライン | 電子ブック |
|
Springer eBooks | 9780306486364 |
|
電子リソース |
|
EB00230676 |
類似資料
この資料の利用統計
このページへのアクセス回数:4回
※2017年9月4日以降