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• W2970842145 abstract "Typically, Function-as-a-Service (FaaS) involves state-less replication with very large numbers of instances. The reliability of such services can be evaluated using Bayesian Networks and k-out-of-n models. However, existing k-out-of-n models do not scale to the larger number of hosts of FaaS services. Therefore, we propose a scalable k-out-of-n model in this paper with the same semantics as the standard k-out-of-n voting gates in fault trees, enabling the reliability analysis of FaaS services." @default.
• W2970842145 created "2019-09-05" @default.
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• W2970842145 date "2019-07-01" @default.
• W2970842145 modified "2023-09-24" @default.
• W2970842145 title "Towards Scalable k-out-of-n Models for Assessing the Reliability of Large-Scale Function-as-a-Service Systems with Bayesian Networks" @default.
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• W2970842145 doi "https://doi.org/10.1109/cloud.2019.00095" @default.
• W2970842145 hasPublicationYear "2019" @default.
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