Availability analysis of predictive hybrid M-out-of-N systems
In m-out-of-n system, if m-out-of-n modules agree, system can report consensus; otherwise, the system fails. On the other hand, in predictive hybrid system if there is no agreement, a history record of previous successful result(s) is used to predict the output. In order to analyze the availability...
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Format: | Article |
Language: | English |
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Universitas Ahmad Dahlan and Institute of Advanced Engineering and Science
2014
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Online Access: | http://psasir.upm.edu.my/id/eprint/36603/1/Availability%20analysis%20of%20predictive%20hybrid%20M.pdf |
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author | Karimi, Abbas Zarafshan, Faraneh Syed Mohamed, Syed Abdul Rahman Al-Haddad |
author_facet | Karimi, Abbas Zarafshan, Faraneh Syed Mohamed, Syed Abdul Rahman Al-Haddad |
author_sort | Karimi, Abbas |
collection | UPM |
description | In m-out-of-n system, if m-out-of-n modules agree, system can report consensus; otherwise, the system fails. On the other hand, in predictive hybrid system if there is no agreement, a history record of previous successful result(s) is used to predict the output. In order to analyze the availability of predictive hybrid redundancy system, Markov modeling is utilized. By using Markov model of the system in steady state, the availability is derived and compared with m-out-of-n system. The results of simulation demonstrated that the availability of predictive hybrid system is higher than m-out-of-n system especially for large m. |
first_indexed | 2024-03-06T08:35:49Z |
format | Article |
id | upm.eprints-36603 |
institution | Universiti Putra Malaysia |
language | English |
last_indexed | 2024-03-06T08:35:49Z |
publishDate | 2014 |
publisher | Universitas Ahmad Dahlan and Institute of Advanced Engineering and Science |
record_format | dspace |
spelling | upm.eprints-366032015-09-17T07:47:53Z http://psasir.upm.edu.my/id/eprint/36603/ Availability analysis of predictive hybrid M-out-of-N systems Karimi, Abbas Zarafshan, Faraneh Syed Mohamed, Syed Abdul Rahman Al-Haddad In m-out-of-n system, if m-out-of-n modules agree, system can report consensus; otherwise, the system fails. On the other hand, in predictive hybrid system if there is no agreement, a history record of previous successful result(s) is used to predict the output. In order to analyze the availability of predictive hybrid redundancy system, Markov modeling is utilized. By using Markov model of the system in steady state, the availability is derived and compared with m-out-of-n system. The results of simulation demonstrated that the availability of predictive hybrid system is higher than m-out-of-n system especially for large m. Universitas Ahmad Dahlan and Institute of Advanced Engineering and Science 2014 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/36603/1/Availability%20analysis%20of%20predictive%20hybrid%20M.pdf Karimi, Abbas and Zarafshan, Faraneh and Syed Mohamed, Syed Abdul Rahman Al-Haddad (2014) Availability analysis of predictive hybrid M-out-of-N systems. TELKOMNIKA, 12 (2). pp. 437-446. ISSN 1693-6930; ESSN: 2302-4046 http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/60 |
spellingShingle | Karimi, Abbas Zarafshan, Faraneh Syed Mohamed, Syed Abdul Rahman Al-Haddad Availability analysis of predictive hybrid M-out-of-N systems |
title | Availability analysis of predictive hybrid M-out-of-N systems |
title_full | Availability analysis of predictive hybrid M-out-of-N systems |
title_fullStr | Availability analysis of predictive hybrid M-out-of-N systems |
title_full_unstemmed | Availability analysis of predictive hybrid M-out-of-N systems |
title_short | Availability analysis of predictive hybrid M-out-of-N systems |
title_sort | availability analysis of predictive hybrid m out of n systems |
url | http://psasir.upm.edu.my/id/eprint/36603/1/Availability%20analysis%20of%20predictive%20hybrid%20M.pdf |
work_keys_str_mv | AT karimiabbas availabilityanalysisofpredictivehybridmoutofnsystems AT zarafshanfaraneh availabilityanalysisofpredictivehybridmoutofnsystems AT syedmohamedsyedabdulrahmanalhaddad availabilityanalysisofpredictivehybridmoutofnsystems |