计算机科学 ›› 2022, Vol. 49 ›› Issue (11): 250-258.doi: 10.11896/jsjkx.211200234
于浩雯1, 刘波1, 周娜琴2, 林伟伟3, 柳鹏1
YU Hao-wen1, LIU Bo1, ZHOU Na-qin2, LIN Wei-wei3, LIU Peng1
摘要: 传统的云供应商单独为用户提供服务,这导致了本地云资源不足和扩展费用较高等问题。而新兴的多云组合地理位置不同的云供应商的服务,为用户提供了更多的选择,逐渐成为了研究的热点。同时,工作流调度又是多云研究的关键问题之一。为此,文中首先对多云环境下的工作流调度技术做了深入的调查和分析,然后将多云下的工作流调度方法进行分类和比较,重点阐述了面向成本、面向完工时间的单目标优化工作流调度,面向成本和完工时间,面向响应时间和成本,面向可靠性、成本和完工时间的多目标优化工作流调度,以及面向其他多目标优化的多云工作流调度。最后,在此基础上讨论了多云环境下工作流调度的未来研究方向:不确定性工作流调度、能耗与其他目标的联合调度优化、与边缘服务器协同的调度优化、虚拟机和Serverless平台混合调度。
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