Users’ time preference based stochastic resource allocation in cloud spot market: cloud provider’s perspective

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Mukherjee, Anik
Sundarraj, R. P.
Dutta, Kaushik
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Karlsruher Institut für Technologie (KIT)
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Cloud Computing spot markets have enabled the users to make use of the spare computing capacities of the cloud providers at a relatively cheaper price which in turn has given the providers such as Amazon and Google an opportunity to earn extra money by auctioning-off the underutilized resources. However, resource availability is a problem in the spot market owing to spot-price fluctuations. Ignoring the customer’s preference is one of the potential reasons behind this. In this paper, we propose a time preference (value of service at different points of time) based stochastic integer linear programming model to allocate the cloud resources among the cloud users with a view to maximizing the revenue of cloud providers from the spot-market.
Cloud computing , Resource allocation , Spot market , Time preference , Stochastic programming.
Mukherjee, A., Sundarraj, R. P. and Dutta, K. 2017. 'Users’ time preference based stochastic resource allocation in cloud spot market: Cloud provider’s perspective'. In: Maedche, A., vom Brocke, J., Hevner, A. (eds.) Designing the Digital Transformation: DESRIST 2017 Research in Progress Proceedings of the 12th International Conference on Design Science Research in Information Systems and Technology. Karlsruhe, Germany. 30 May - 1 Jun. Karslruhe: Karlsruher Institut für Technologie (KIT), pp. 92-100