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设备部署方式对云制造中子任务调度的影响

Effects of facilities deployment methods on subtasks scheduling in cloud manufacturing

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【作者】 李文翔危霞盛玉霞

【Author】 LI Wen-xiang;WEI Xia;SHENG Yu-xia;School of Information Science and Engineering,Wuhan University of Science and Technology;Engineering Research Center of Metallurgical Automation and Detecting Technology of Ministry of Education,Wuhan University of Science and Technology;

【机构】 武汉科技大学信息科学与工程学院武汉科技大学教育部冶金自动化与检测技术工程研究中心

【摘要】 为实现云制造系统的高效运行,基于对任务过程和系统实体的分析,提出多种分布式协作设备的部署方法,包括随机、类型均衡、功能均衡及方位意识部署。结合多种设备优化调度方法展开仿真实验,对这些部署方法的性能展开分析比较,实验结果表明,物理距离对开销和处理时延有不可忽视的影响,方位意识部署具有最小的运输开销;在轻载状态下方位意识部署的时延最小,在重载状态下功能均衡部署的时延最小,任务量增加会使设备上出现子任务拥塞,使生产时延占总时延的比例更大。

【Abstract】 To achieve efficient operation of cloud manufacturing system,the tasks’ procedure and entities’ elements were analyzed in detail,and several facilities deployment methods were proposed,including random,type-balanced,function-balanced and location-aware deployment.Simulation was carried out combining several optimization objectives for facilities scheduling.Results show that physical distance between two enterprises can influence the overall cost and delay,and location-aware deployment leads to smaller transportation cost.Location-aware deployment and function-balanced deployment lead to smaller overall processing delay for low-workload state and high-workload state of system respectively.When workload is high,there is severe congestion of subtasks in facilities,so the overall processing time is mostly composed of production time.

【关键词】 云制造任务调度部署负载均衡时延开销
【Key words】 cloud manufacturingtask schedulingdeploymentload balancedelaycost
【基金】 国家自然科学基金项目(61501337);教育部归国留学人员科研启动基金项目(第50批,2015);湖北省教育厅科研基金项目(Q20141110)
  • 【文献出处】 计算机工程与设计 ,Computer Engineering and Design , 编辑部邮箱 ,2016年10期
  • 【分类号】TP393.09;F273
  • 【被引频次】3
  • 【下载频次】59
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