Bibliography | Bibartiu, Otto; Dürr, Frank; Rothermel, Kurt; Ottenwälder, Beate; Grau, Andreas: Towards Scalable k-out-of-n Models for Assessing the Reliability of Large-scale Function-as-a-Service Systems with Bayesian Networks. In: IEEE (ed.): 2019 IEEE 12th International Conference on Cloud Computing (CLOUD). University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology. pp. 1-3, english. Milan, Italy: Online, July 2019. ISBN: 10.1109/CLOUD.2019.00095. Article in Proceedings (Conference Paper).
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Corporation | IEEE 12th International Conference on Cloud Computing (CLOUD) |
CR-Schema | B.8.1 (Reliability, Testing, and Fault-Tolerance)
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Keywords | Bayesian networks, k-out-of-n gates, scalable structures |
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.
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Full text and other links | PDF (381374 Bytes) Original Version at IEEE
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Contact | otto.bibartiu@ipvs.uni-stuttgart.de |
Department(s) | University of Stuttgart, Institute of Parallel and Distributed Systems, Distributed Systems
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Project(s) | Cloud Computing for the Internet of Things
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Entry date | August 13, 2021 |
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