dc.contributor.authorLiew, Keen Hao
dc.date.accessioned2016-05-19T02:11:55Z
dc.date.available2016-05-19T02:11:55Z
dc.date.issued2016
dc.identifier.urihttp://hdl.handle.net/10356/67651
dc.description.abstractData centers are growing rapidly over the years with the extensive development of various services and products over the network. Data center that allocates different job requests to multiple tiers to be serviced is considered in order to get some insights regarding deferrable jobs. In this project, we are implementing Receding Horizon Control (RHC) based scheduling to target on the matter of provision of source for deferrable jobs. On top of that, the problem regarding the optimum provision of server at different tiers will be formulated and resolved in two different approaches, which is the minimization of operational cost and joint minimization of capital and operational cost with the use of a discrete time model. Subsequently, we would like to aim to provide an efficient way to substitute more renewable energy into the grid to replace brown energy by offering reasonable monetary incentives without adding on too much additional expenditures to the provider on deadline deferral. From there, we aim to achieve energy efficiency. By using data analytic tools, we also aim to propose some suitable yet sustainable pricing scheme for the cloud service market by implementing different strategies. Last but not least, the proposed method and scheme demonstrated by us succeeds notably good performance according to different significant performance factors involved in the system.en_US
dc.format.extent74 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineeringen_US
dc.titleSustainable pricing for cloud services using data analyticsen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorZhong Wendeen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineeringen_US


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