{"title":"以最佳方式组织云中的分布式组件计算:从用户角度和资源角度","authors":"Ji Lu, Yaoxue Zhang, Yuezhi Zhou","doi":"10.1109/ICEIE.2010.5559803","DOIUrl":null,"url":null,"abstract":"With the sharp increase of computing demands, computations more and more rely on the distributed components. However, the relatively inferior quality of wide-area networks hampers such trend. This paper proposes an approach aiming at optimally organizing the distributed-component computing in the current Internet in which some nodes with large computational freedom and capability for the public to compute are emerging, such as the initially born data centers in the present Cloud computing environments. Both the user experience and the resource utilization are taken into the quantitative analysis and optimization. Facing the exponential growth of the problem's solution space, this paper develops an effective approach. Experimental simulations show that the approach generates the result significantly approximating the optimal solution, in the meantime with high efficiency.","PeriodicalId":211301,"journal":{"name":"2010 International Conference on Electronics and Information Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2010-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimally organizing distributed-component computing in the clouds: From both the user perspective and resource view\",\"authors\":\"Ji Lu, Yaoxue Zhang, Yuezhi Zhou\",\"doi\":\"10.1109/ICEIE.2010.5559803\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the sharp increase of computing demands, computations more and more rely on the distributed components. However, the relatively inferior quality of wide-area networks hampers such trend. This paper proposes an approach aiming at optimally organizing the distributed-component computing in the current Internet in which some nodes with large computational freedom and capability for the public to compute are emerging, such as the initially born data centers in the present Cloud computing environments. Both the user experience and the resource utilization are taken into the quantitative analysis and optimization. Facing the exponential growth of the problem's solution space, this paper develops an effective approach. Experimental simulations show that the approach generates the result significantly approximating the optimal solution, in the meantime with high efficiency.\",\"PeriodicalId\":211301,\"journal\":{\"name\":\"2010 International Conference on Electronics and Information Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Electronics and Information Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEIE.2010.5559803\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Electronics and Information Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEIE.2010.5559803","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimally organizing distributed-component computing in the clouds: From both the user perspective and resource view
With the sharp increase of computing demands, computations more and more rely on the distributed components. However, the relatively inferior quality of wide-area networks hampers such trend. This paper proposes an approach aiming at optimally organizing the distributed-component computing in the current Internet in which some nodes with large computational freedom and capability for the public to compute are emerging, such as the initially born data centers in the present Cloud computing environments. Both the user experience and the resource utilization are taken into the quantitative analysis and optimization. Facing the exponential growth of the problem's solution space, this paper develops an effective approach. Experimental simulations show that the approach generates the result significantly approximating the optimal solution, in the meantime with high efficiency.