A reliability prediction model for a multistate cloud/edge-based network based on a deep neural network

DOI10.1007/s10479-022-04931-wzbMATH Open1547.90064MaRDI QIDQ6601573

Yi-Kuei Lin, Cheng-Fu Huang, Ding-Hsiang Huang

Publication date: 10 September 2024

Published in: Annals of Operations Research (Search for Journal in Brave)

zbMATH Keywords

cloud computingprediction modeldeep neural networkedge computingMCEN reliability

Mathematics Subject Classification ID

Stochastic network models in operations research (90B15) Reliability, availability, maintenance, inspection in operations research (90B25) Reliability and life testing (62N05)

Cites Work

• Reliability evaluation according to a routing scheme for multi-state computer networks under assured accuracy rate
• Anti-periodic solutions for state-dependent impulsive recurrent neural networks with time-varying and continuously distributed delays
• System reliability analysis for a cloud-based network under edge server capacity and budget constraints
• Reliability Bounds for Multistate Systems with Multistate Components
• Computational Complexity of Network Reliability Analysis: An Overview
• On reliability evaluation of a capacitated‐flow network in terms of minimal pathsets
• A simple algorithm for reliability evaluation of a stochastic-flow network with node failure

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