移动边缘计算中基于改进拍卖模型的计算卸载策略

Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2019-05-10 Cooperative journals: 《计算机应用研究》

盛津芳 滕潇雨 李伟民 王斌

Abstract： With the rapid development of mobile Internet services, mobile applications such as augmented reality, virtual reality, and ultra clear video have become popular and IoT applications are emerging. The limited computing power and the lack of endurance of smart terminal devices are becoming more and more inadequate for these applications. Aiming at this situation, this paper proposes a computational offload strategy based on improved auction algorithm under the premise of combining intelligent device performance and server resources in the scenario of multi-user and multi-MEC server, the strategy consists of two important phases: the unloading decision-making phase. By considering the calculation task size, computing requirements and server computing power, network bandwidth and other factors, this paper proposes the basis for the uninstallation decision; In the task scheduling phase, by considering the time requirements of the computing task and the computing performance of the MEC server, this paper proposes a task scheduling model based on improved auction algorithm. The experiment proves that the computational offloading strategy proposed in this paper can effectively reduce the service delay, reduce the energy consumption of smart devices, and improve user satisfaction.

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