关键词: 移动边缘, 卸载优化, 最优可调度eNB, 动态关键路径, 能耗, 工作流

Abstract: Mobile Edge Computing (MEC) is helpful for reducing computational burden and energy consumption during workflow mobilizaiton.However,more time and energy wastes could be caused by unreasonable task offloading.For this reason,a two-stage Mobile Edge Computing Offloading Optimization algorithm based on Dynamic Critical Path (MECOODCP) algorithm was introduced,which included mobile edge computing offloading optimization algorithm and dynamic critical path algorithm base on local computation.On this basis,the optimized edge unloading strategy was proposed,which  had taken advantage of the selected optimized eNB from Hidden Markov prediction with velocity and offset prediction to ensure the success rate of task offloading.Meanwhile,the critical path of workflow was dynamically updated to reduce the impact on scheduling results.The effectiveness of the proposed algorithm was proved by the simulation experiment,and the proposed algorithm could optimize the workflow under the mobile edge environment by decreasing 12% of time and 6% of energy compared with traditional optimization algorithm.

Key words: mobile edge, offloading optimization, optimized eNB, dynamic critical path, energy consumption, workflow