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Publication Detail
Customer-centric Optimal Software Release Problem in Cloud
As the number of cloud providers increases, the competition forces providers to reduce the prices to stay competitive. A recent testimony to this claim is the �price wars� between the cloud storage service providers [1]. In such competitive business environments, it is safe to assume that the providers will want to know more about the needs of their customers in order to shape their services based on customer demand. At the same time, try to find ways reducing the cost of their services in order to maintain the profitability. This problem is an instance of optimal software release problem which is NP-Hard [2]. In this paper, we propose an approach aimed at helping service providers to optimise their service configurations based on user demand. Unlike the existing work, our approach does not just provide n number of optimal configurations but rather allows the decision maker to discover trade-offs between service cost and customer satisfaction by comparing a set of Pareto optimal solutions. Our approach can help providers to discover the configurations that maximises profit while providing a high level of customer satisfaction.
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