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- W4285223844 abstract "Failure detection is one of the basic functions of building a reliable disaster recovery backup system. Aiming at the application-level disaster recovery backup failure detection problem, this paper analyzes the remote disaster recovery center architecture and failure detection hierarchy, and predicts the arrival time of cross-domain heartbeat information through the back propagation neural network based on particle swarm optimization (PSO-BP). When the actual timeout is reached, the active Auxiliary Detection (AD) is used to improve the correctness of failure detection, and finally the effectiveness of method PSO-BP-AD is verified through simulation." @default.
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- W4285223844 date "2022-01-01" @default.
- W4285223844 modified "2023-09-25" @default.
- W4285223844 title "A failure detection method of remote disaster recovery and backup system" @default.
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- W4285223844 doi "https://doi.org/10.1051/itmconf/20224701002" @default.
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