Abstract | ||
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In a distributed heterogeneous fog environment, fog nodes may change their state at any time. Their reliability changes accordingly. A dynamic analysis of state changes can help one detect fault-tolerant fog nodes, which is conducive to promoting the reliability of fog services. This article proposes a fault-tolerant model based on a Markov chain for a fog system’s performance optimization. The re... |
Year | DOI | Venue |
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2022 | 10.1109/JIOT.2021.3088417 | IEEE Internet of Things Journal |
Keywords | DocType | Volume |
Fault tolerant systems,Fault tolerance,Hidden Markov models,Cloud computing,Reliability,Computational modeling,Markov processes | Journal | 9 |
Issue | ISSN | Citations |
3 | 2327-4662 | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Peiyun Zhang | 1 | 19 | 4.29 |
Yutong Chen | 2 | 0 | 1.01 |
MengChu Zhou | 3 | 8989 | 534.94 |
Ge Xu | 4 | 0 | 0.68 |
WenJun Huang | 5 | 0 | 0.68 |
Yusuf Al-Turki | 6 | 57 | 12.44 |
Abdullah Abusorrah | 7 | 121 | 17.75 |