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- W2019406375 abstract "Cloud computing is the latest computing paradigm that delivers hardware and software resources as virtualization enabled services. Recently, cloud service selection has emerged as an important research problem due to large number of cloud providers and their diverse service configurations, multiple selection criteria, and customer's fuzzy perception of Quality of Service (QoS). In this paper, we propose a novel fuzzy logic framework for cloud service selection based on the individual QoS criteria of customers. In this model, the necessary service configuration and run-time QoS data is collected from reliable sources such as monitoring services, customers' feedbacks, and certified cloud providers' information. The obtained results from conducted case study shows validity and applicability of the proposed framework." @default.
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- W2019406375 date "2014-10-01" @default.
- W2019406375 modified "2023-10-16" @default.
- W2019406375 title "Fuzzy cloud service selection framework" @default.
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- W2019406375 doi "https://doi.org/10.1109/cloudnet.2014.6969035" @default.
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