Optimising resource costs of cloud computing for education

Abstract : There is a growing interest around the utilisation of cloud computing in education. As organisations involved in the area typically face severe budget restrictions, there is a need for cost optimisation mechanisms that explore unique features of digital learning environments. In this work, we introduce a method based on Maximum Likelihood Estimation that considers heterogeneity of IT infrastructure in order to devise resource allocation plans that maximise platform utilisation for educational environments. We performed experiments using modelled datasets from real digital teaching solutions and obtained cost reductions of up to 30%, compared with conservative resource allocation strategies.
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Future Generation Computer Systems, Elsevier, 2015, pp.1-7. 〈10.1016/j.future.2015.03.013〉
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Fernando Koch, Marcos Dias de Assuncao, Carlos Cardonha, Marco Netto. Optimising resource costs of cloud computing for education. Future Generation Computer Systems, Elsevier, 2015, pp.1-7. 〈10.1016/j.future.2015.03.013〉. 〈hal-01199188〉

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