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Energy Scheduling and Computation Offloading for Building Operator using Parked Electric Vehicles

This paper proposes a new cooperative model be-tween a building operator and the parked electric vehicles. The building operator owns few edge servers and must execute the delay sensitive computing requests generated in the building. The edge servers are powered by the grid and solar panels. Different from the traditional vehicular fog computing models where only computing services are provided by the electric vehicles, in the proposed model, the parked vehicle can also provide on-demand storage service or supply energy as a source. The building operator compensates the electric vehicles according to one of the services they offered during their parking. Compared to the price of electricity, the incentives paid to the electric vehicles for their service are assumed to be cheaper. The objective of the cooperative model is to minimize the power consumption costs of the edge servers operated by the building operator and the sum incentives paid to the parked electric vehicles for their service. The proposed cooperative model is formulated as a mixed integer program which can be solved by branch and bound solvers. Simulation results show the benefits of such cooperation to both the building operator and the parked electric vehicles under different scenarios.