关键词: 移动边缘计算, 工作流调度, 安全模型, 粒子群优化算法

Abstract: In the Mobile Edge Computing (MEC) environment,users migrate application tasks to MEC for execution to effectively reduce delay and reduce energy consumption.However,the MEC still faces data security problems,and the potential malicious attacks can result in the loss or disclosure of private data.On this basis,a Security and Energy Aware (SEA) scheduling for service workflow was proposed in MEC environment,which could minimize the energy consumption of mobile devices under the risk rate and deadline constraints of mobile applications.Based on Particle Swarm Optimization (PSO) algorithm,SEA algorithm considered the scheduling position,confidentiality service and integrity service of the tasks.In addition,a new security model was constructed,which included the relationship among data volume,multi-core CPU,computing frequency and security overhead.Simulation experiments demonstrated the feasibility and effectiveness of the proposed algorithm.

Key words: mobile edge computing, workflow scheduling, security model, particle swarm optimization algorithm