计算机科学 ›› 2019, Vol. 46 ›› Issue (8): 163-170.doi: 10.11896/j.issn.1002-137X.2019.08.027
曾金晶1,2, 张建山2,3, 林兵2,3, 张文德1
ZENG Jin-jing1,2, ZHANG Jian-shan2,3, LIN Bing2,3, ZHANG Wen-de1
摘要： 随着无线通信技术的发展,越来越多的商业、娱乐和社交活动建立在便携式移动设备之上。便携式移动设备的尺寸限制了它的计算能力,计算能力的不足与应用程序的高计算需求相矛盾。边缘计算使得计算任务在数据源头附近就能得到及时处理,是减小系统延迟的有效方法。微云技术是边缘计算的重要应用,部署微云是解决上述矛盾的有效方法。多个微云连接在一起形成网络,终端用户可以通过无线城域网(Wireless Metropolitan Area Networks,WMAN)来获得微云服务。如何将任务卸载并调度到合理的微云中,减少系统延迟,是目前面临的重大挑战。文中研究了如何平衡网络中多个微云之间的工作负载,以优化移动应用程序的性能表现。首先,引入一个系统模型来获取卸载任务的响应时间,并制定一个在微云之间寻找卸载任务调度的最佳方案,以最小化微云上任务的平均响应时间。其次,提出了一种快速且可扩展的启发式算法来缩短用户任务的响应时间。最后,通过仿真实验来评估所提算法的性能特征。实验结果表明,该算法在缩短用户任务响应时间方面有着积极作用。
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