计算机科学 ›› 2020, Vol. 47 ›› Issue (6): 260-265.doi: 10.11896/jsjkx.190400074
所属专题： 网络通信
胡锦天, 王高才, 徐晓桐
HU Jin-tian, WANG Gao-cai, XU Xiao-tong
摘要： 随着通信技术的进步,资源受限的移动终端设备已不能满足移动用户在数据处理方面急剧增加的需求。一方面,移动边缘计算可将移动设备上的任务迁移到边缘计算服务器进行处理,从而在一定程度上解决移动设备计算能力不足的问题;另一方面,在任务迁移过程中,如何保持较高的服务性能,同时降低移动终端的能耗,是研究者和移动用户所关心的主题。文中着力于研究以迁移时间收益为约束的数据迁移平均能耗最小化的问题。首先,利用迁移时间收益公式获得移动终端周期性侦测到的边缘计算服务器的迁移速率阈值;然后,构建具有时间收益约束的数据迁移平均能耗最小化的最优停止问题,证明其存在最优停止规则,并求出最优的数据迁移平均能耗;最后,移动终端综合考虑获取的迁移速率阈值以及最优数据迁移平均能耗来选择用于任务迁移的边缘计算服务器,从而实现具有能耗优化的任务迁移策略。在仿真实验中,以平均迁移数据总量、平均迁移时间以及平均数据迁移能耗等性能参数为指标,将所提优化策略与其他迁移策略进行对比。实验结果表明,相对于另外两种对比策略,具有能耗优化的任务迁移策略拥有较短的迁移时间以及较小的平均数据迁移能耗;此外,在有效数据迁移率参数指标上,所提策略也能够达到大约10%～40%的性能提升,获得了较好的迁移性能提升效果。
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