COMPOSITE PERFORMANCE AND DEPENDABILITY ANALYSIS

被引:66
|
作者
TRIVEDI, KS
MUPPALA, JK
WOOLET, SP
HAVERKORT, BR
机构
[1] DUKE UNIV,DEPT ELECT ENGN,DURHAM,NC 27706
[2] TWENTE UNIV TECHNOL,7500 AE ENSCHEDE,NETHERLANDS
[3] IBM CORP,RES TRIANGLE PK,NC 27709
关键词
MARKOV CHAINS; MARKOV REWARD MODELS; PERFORMANCE; DEPENDABILITY; FAULT-TOLERANT SYSTEMS; NUMERICAL TECHNIQUES;
D O I
10.1016/0166-5316(92)90004-Z
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Composite performance and dependability analysis is gaining importance in the design of complex, fault-tolerant systems. Markov reward models are most commonly used for this purpose. In this paper, an introduction to Markov reward models including solution techniques and application examples is presented. Extensions of Markov reward models to semi-Markov reward models are also mentioned. A brief discussion of how task completion time models and models of queues with breakdowns and repairs relate to Markov reward models is also given.
引用
收藏
页码:197 / 215
页数:19
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