多用户动态节能资源竞争计算卸载策略

针对移动边缘计算环境下，移动设备的计算、续航、存储能力的不足，导致其响应延迟、电池寿命降低等问题，设计了一种动态节能资源竞争计算卸载（DERCO）策略。该策略综合考虑了信道容量以及设备间的相互干扰等情况，以一种贪婪算法的思想，让所有边缘设备通过迭代竞争信道资源，节能效果最好的设备将获得卸载机会，再利用一次性卸载方法，根据实时的信道状况和卸载速率进行动态的细粒度子任务卸载决策。实验结果表明，该策略优于一种近似协同计算卸载方案，有效降低了设备的能耗与时延。

Multi-user dynamic energy-saving resource competition computing offloading strategy

In the mobile edge computing environment, the lack of computing, battery life, and storage capabilities of mobile devices leads to problems such as delayed response and reduced battery life. This paper designed a dynamic energy-saving resource competition computing offloading(DERCO) strategy to minimize the total energy consumption of all equipment. This strategy comprehensively considered the channel capacity and mutual interference between devices, and used the idea of a greedy algorithm to allow all edge devices to iteratively compete for channel resources. The device with the best energy-saving effect would get the opportunity to offload, and then used the one-climb policy offloading method, based on real-time channel conditions and offloading rate to make dynamic and fine-grained subtask unloading decisions. Experimental results show that this strategy is better than an approximate collaborative computing offloading scheme, which effectively reduces the energy consumption and time delay of the equipment.