CloudPack: Exploiting Workload Flexibility Through Rational Pricing

In this paper, the authors utilize a dynamic pricing model to address this inefficiency and give customers the opportunity and incentive to take advantage of any flexibility they may have regarding the provisioning of their workloads. They present CLOUD PACK: a framework for workload collocation, which provides customers with the ability to formally express workload flexibilities using Directed Acyclic Graphs, optimizes the use of cloud resources to minimize total costs while allocating clients’ workloads, and utilizes shapley valuation to rationally – and thus fairly in a game-theoretic sense -attribute costs to the customers. Using extensive simulation, they show the practical utility of their CLOUD PACK co-location framework and the efficacy of the resulting marketplace in terms of cost savings.

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