2020
DOI: 10.1007/s12652-020-01951-x
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Fuzzy metrics and cost optimization of a fault-tolerant system with vacationing and unreliable server

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Cited by 18 publications
(3 citation statements)
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“…The fuzzy logic approach has been recognized to be capable of enabling decision making in systems handling decision making in different contexts as seen in [31][32][33]. However, the case studies in [31][32][33] has not been recognized aspects related to multimedia content access and transport in communication networks. Nevertheless, the role of fuzzy logic enables the execution of intelligent decision making in communication networks.…”
Section: Existing Work-network Systems and Support For Multimedia Con...mentioning
confidence: 99%
“…The fuzzy logic approach has been recognized to be capable of enabling decision making in systems handling decision making in different contexts as seen in [31][32][33]. However, the case studies in [31][32][33] has not been recognized aspects related to multimedia content access and transport in communication networks. Nevertheless, the role of fuzzy logic enables the execution of intelligent decision making in communication networks.…”
Section: Existing Work-network Systems and Support For Multimedia Con...mentioning
confidence: 99%
“…Hu et al (2015) described PH/PH/C/C state-dependent queueing miniature and then it was formed by a fixed level-dependent quasibirth-death method. Jain et al (2020) uses matrix geometric method for performance analysis queueing system with failure-prone server. Alkaff et al (2020) proposed an exact analysis of multi station production lines in which the service periods at all stations follow a matrix-based continuous phase-type (PH) distribution.…”
Section: Introductionmentioning
confidence: 99%
“…Cordeiro and Kharoufeh [7] examined an M/M/1 retrial queue with an unreliable server whose arrival, service, failure, repair, and retrial rates are all modulated by an exogenous random environment. Jain et al [8] studied a fault-tolerant system with general distributed repair time, server vacation, and server breakdown. Ammar et al [9] provided the transient analysis of impatient customers in an M/M/1 disasters queue in random environment.…”
Section: Introductionmentioning
confidence: 99%