System availability assessment using stochastic models

被引：18
作者：
Trivedi, Kishor S. [1 ]
Kim, Dong-Seong [2 ]
Ghosh, Rahul [1 ]
机构：
[1] Duke Univ, Dept Elect & Comp Engn, Durham, NC 27708 USA
[2] Univ Canterbury, Dept Comp Sci & Software Engn, Christchurch 8140, New Zealand
来源：
APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY | 2013年 / 29卷 / 02期
基金：
美国国家科学基金会;
关键词：
availability; downtime; hierarchical models; Markov models; non-state-space models; state-space models; TRANSIENT ANALYSIS; MARKOV; DEPENDABILITY; OPTIMIZATION; AGGREGATION; MAINTENANCE; ALGORITHM;
D O I：
10.1002/asmb.951
中图分类号：
C93 [管理学]; O22 [运筹学];
学科分类号：
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要：
Availability assessment is of paramount importance to guarantee uninterrupted operation of a variety of commercial-grade information and networked systems. In this paper, we present practical case studies that show how to use stochastic analytic modeling approaches to quantitatively assess the availability of such systems. We present non-state-space models, statespace models and hierarchical models. We describe the details of these modeling approaches to assess system availability. Copyright (c) 2012 John Wiley & Sons, Ltd.
引用
收藏
页码：94 / 109
页数：16
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