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作 者:康万杰 潘有顺 KANG Wan-jie;PAN You-shun(Department of Brewery Engineering Automation,Moutai Institute,Renhuai 564500,China;Wuhan National Laboratory for Optoelectronics,Huazhong University of Science and Technology,Wuhan 430070,China)
机构地区:[1]茅台学院酿酒工程自动化系,贵州仁怀564500 [2]华中科技大学武汉光电国家研究中心,湖北武汉430070
出 处:《激光与红外》2021年第12期1643-1648,共6页Laser & Infrared
基 金:贵州省教育厅青年科技人才成长项目(No.黔教合KY字〔2018〕460)资助。
摘 要:现有光纤数据差异化调度策略忽视数据节点的排序,导致构建的调度模型效率较低,影响数据调度速度,为提高光纤数据差异化调度能力,提出基于云计算及LLF算法制定光纤数据差异化调度策略。排列LLF算法下松弛度队列顺序,确保松弛度较大任务能够率先完成,基于LLF算法设计数据调度模型,求出光纤数据调度范围,制定云计算环境下数据差异化调度策略,提升队列排序的处理能力,提高光纤数据调度效率。实验结果可知,该调度策略的数据平均计算时间约为26.3s,数据平均调度时间为18.6s,验证了所提方法能够有效提升数据计算及调度效率。The existing optical fiber data differential scheduling strategy ignores the sorting of data nodes,which leads to the low efficiency of the scheduling model and affects the speed of data scheduling.In order to improve the optical fiber data differential scheduling ability,this paper proposes to formulate the optical fiber data differential scheduling strategy based on cloud computing and LLF algorithm.Arrange the slack queue order under the LLF algorithm to ensure that the tasks with large slack can be completed first.Based on the LLF algorithm,design the data scheduling model,find out the scope of optical fiber data scheduling,formulate the data differentiation scheduling strategy under the cloud computing environment,improve the processing capacity of queue sorting,and improve the efficiency of optical fiber data scheduling.The experimental results show that the average data computing time of the scheduling strategy is about 26.3 s,and the average data scheduling time is 18.6 s,which verifies that the proposed method can effectively improve the efficiency of data computing and scheduling.
关 键 词:云计算 LLF算法 光纤数据 差异化调度 调度策略
分 类 号:TN929.11[电子电信—通信与信息系统]
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