关键词: 计算密集型, 序列二次规划, 延迟, 能量

Abstract: The pervasive of Internet of Things and the large amount of data generated by computation-  intensive applications such as augmented reality have placed a heavy burden on the current backbone network. In order to improve user experience, it is necessary to migrate the sensing data to the edge server closer to users. Considering the relatively limited resources of the edge server, it is a key problem to determine the appropriate proportion of data offloading in advance. Firstly, this paper expresses the problem as a sequential quadratic program with two key performance indicators: delay and energy consumption. Secondly, sequential quadratic programming algorithm is used to solve the problem, and the optimal workload offloading ratio is obtained under a certain constraint of energy consumption. Finally, through Matlab simulation experiment, it is verified that the proposed scheme has the best delay performance when the data arrival rate is far greater than the edge server processing rate.

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