Reliability Importance of Components in a Real-Time Computing System with Standby Redundancy Schemes
Component importance analysis is to measure the effect on system reliability of component reliabilities, and is used to the system design from the reliability point of view. On the other hand, to guarantee high reliability of real-time computing systems, redundancy has been widely applied, which pla...
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International Journal of Mathematical, Engineering and Management Sciences
2018-06-01
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doaj-9965ceeaaf4947e18f77ba767eec60d52020-11-24T21:52:13ZengInternational Journal of Mathematical, Engineering and Management SciencesInternational Journal of Mathematical, Engineering and Management Sciences2455-77492455-77492018-06-0132648910.33889/IJMEMS.2018.3.2-007Reliability Importance of Components in a Real-Time Computing System with Standby Redundancy SchemesJunjun Zheng0Hiroyuki Okamura1Tadashi Dohi2Department of Information Engineering , Hiroshima University, Higashi-Hiroshima, JapanDepartment of Information Engineering , Hiroshima University, Higashi-Hiroshima, JapanDepartment of Information Engineering , Hiroshima University, Higashi-Hiroshima, JapanComponent importance analysis is to measure the effect on system reliability of component reliabilities, and is used to the system design from the reliability point of view. On the other hand, to guarantee high reliability of real-time computing systems, redundancy has been widely applied, which plays an important role in enhancing system reliability. One of commonly used type of redundancy is the standby redundancy. However, redundancy increases not only the complexity of a system but also the complexity of associated problems such as common-mode error. In this paper, we consider the component importance analysis of a real-time computing system with warm standby redundancy in the presence of Common-Cause Failures (CCFs). Although the CCFs are known as a risk factor of degradation of system reliability, it is difficult to evaluate the component importance measures in the presence of CCFs analytically. This paper introduces a Continuous-Time Markov Chain (CTMC) model for real-time computing system, and applies the CTMC-based component-wise sensitivity analysis which can evaluate the component importance measures without any structure function of system. In numerical experiments, we evaluate the effect of CCFs by the comparison of system performance measure and component importance in the case of system without CCF with those in the case of system with CCFs. Also, we compare the effect of CCFs on the system in warm and hot standby configurations.https://www.ijmems.in/assets//7-vol.-3%2c-no.-2%2c-64%E2%80%9389%2c-2018.pdfComponent importance measuresStandby redundancyReal-time computing systemCommon-cause failureMarkov chains. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Junjun Zheng Hiroyuki Okamura Tadashi Dohi |
spellingShingle |
Junjun Zheng Hiroyuki Okamura Tadashi Dohi Reliability Importance of Components in a Real-Time Computing System with Standby Redundancy Schemes International Journal of Mathematical, Engineering and Management Sciences Component importance measures Standby redundancy Real-time computing system Common-cause failure Markov chains. |
author_facet |
Junjun Zheng Hiroyuki Okamura Tadashi Dohi |
author_sort |
Junjun Zheng |
title |
Reliability Importance of Components in a Real-Time Computing System with Standby Redundancy Schemes |
title_short |
Reliability Importance of Components in a Real-Time Computing System with Standby Redundancy Schemes |
title_full |
Reliability Importance of Components in a Real-Time Computing System with Standby Redundancy Schemes |
title_fullStr |
Reliability Importance of Components in a Real-Time Computing System with Standby Redundancy Schemes |
title_full_unstemmed |
Reliability Importance of Components in a Real-Time Computing System with Standby Redundancy Schemes |
title_sort |
reliability importance of components in a real-time computing system with standby redundancy schemes |
publisher |
International Journal of Mathematical, Engineering and Management Sciences |
series |
International Journal of Mathematical, Engineering and Management Sciences |
issn |
2455-7749 2455-7749 |
publishDate |
2018-06-01 |
description |
Component importance analysis is to measure the effect on system reliability of component reliabilities, and is used to the system design from the reliability point of view. On the other hand, to guarantee high reliability of real-time computing systems, redundancy has been widely applied, which plays an important role in enhancing system reliability. One of commonly used type of redundancy is the standby redundancy. However, redundancy increases not only the complexity of a system but also the complexity of associated problems such as common-mode error. In this paper, we consider the component importance analysis of a real-time computing system with warm standby redundancy in the presence of Common-Cause Failures (CCFs). Although the CCFs are known as a risk factor of degradation of system reliability, it is difficult to evaluate the component importance measures in the presence of CCFs analytically. This paper introduces a Continuous-Time Markov Chain (CTMC) model for real-time computing system, and applies the CTMC-based component-wise sensitivity analysis which can evaluate the component importance measures without any structure function of system. In numerical experiments, we evaluate the effect of CCFs by the comparison of system performance measure and component importance in the case of system without CCF with those in the case of system with CCFs. Also, we compare the effect of CCFs on the system in warm and hot standby configurations. |
topic |
Component importance measures Standby redundancy Real-time computing system Common-cause failure Markov chains. |
url |
https://www.ijmems.in/assets//7-vol.-3%2c-no.-2%2c-64%E2%80%9389%2c-2018.pdf |
work_keys_str_mv |
AT junjunzheng reliabilityimportanceofcomponentsinarealtimecomputingsystemwithstandbyredundancyschemes AT hiroyukiokamura reliabilityimportanceofcomponentsinarealtimecomputingsystemwithstandbyredundancyschemes AT tadashidohi reliabilityimportanceofcomponentsinarealtimecomputingsystemwithstandbyredundancyschemes |
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1725876044684066816 |