Efficient Provisioning of IoT Energy Services
摘要
We propose a QoE-based framework for providing energy services. The provisioning is constrained by the fluctuating availability of energy providers, coupled with the super provider’s limited reward budget. We present a new Linear Programming (LP) formulation for QoE-based energy service provisioning. We use GLPK solver to find the optimal service composition by leveraging providers’ preferences. A set of experiments were conducted to evaluate the effectiveness of our approach.