DocumentCode :
657504
Title :
Characteristic analysis of quantitative definition of resiliency measure
Author :
Chao Luo ; Okamura, Hiroyuki ; Dohi, Tadashi
Author_Institution :
Dept. of Inf. Eng., Hiroshima Univ., Higashi-Hiroshima, Japan
fYear :
2013
fDate :
4-7 Nov. 2013
Firstpage :
11
Lastpage :
12
Abstract :
Resiliency (resilience) is one of the important criteria for evaluating the sturdiness of systems. The resiliency is generally defined as the ability of resistance from disturbance that is caused by sudden changes of system configuration. However, there is no formal quantitative definition of system resiliency. In this paper, we propose the quantification of system resiliency by using continuous time Markov chains (CTMCs). According to probabilistic models, we formulate the quantification resiliency for performance indices of the system by two methods. Also, we discuss the applicability of our quantification of resiliency and compare the effectiveness of two definitions through numerical examples.
Keywords :
Markov processes; software reliability; CTMC; characteristic analysis; continuous time Markov chains; probabilistic models; system resiliency measure; Computational modeling; Markov processes; Mathematical model; Numerical models; Proposals; Resilience; System performance; Markov reward process; continuous time Markov chains; performance evaluation; system resiliency;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Reliability Engineering Workshops (ISSREW), 2013 IEEE International Symposium on
Conference_Location :
Pasadena, CA
Type :
conf
DOI :
10.1109/ISSREW.2013.6688852
Filename :
6688852
Link To Document :
بازگشت