Cost-Based Application Placement Optimization for Integrated Energy System using Docker

In the integrated energy system (IES), distributed energy, flexible load and electric vehicle are widely involved in the energy production, consumption and other aspects of the power system, which makes it an important issue to optimize the deployment of energy management application. Therefore, this paper proposes cost-based application placement method using computing resource containers based on Docker technology, which can effectively reduce the deployment cost of application placement in IES. We first characterize the task components and their connections in energy management application. According to the architecture of physical machine using Docker, we construct the operation model including computation model and communication model Besides, to evaluate the application placement schemes, we propose a cost-based evaluation metrics considering the cost caused by task execution and data transmission. Simulation verifies the rationality and effectiveness of our proposed method.