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A Unified Algorithm for Virtual Desktops Placement in Distributed Cloud Computing

机译:分布式云计算中虚拟桌面放置的统一算法

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摘要

Distributed cloud has been widely adopted to support service requests from dispersed regions, especially for large enterprise which requests virtual desktops for multiple geodistributed branch companies. The cloud service provider (CSP) aims to deliver satisfactory services at the least cost. CSP selects proper data centers (DCs) closer to the branch companies so as to shorten the response time to user request. At the same time, it also strives to cut cost considering both DC level and server level. At DC level, the expensive long distance inter-DC bandwidth consumption should be reduced and lower electricity price is sought. Inside each tree-like DC, servers are trying to be used as little as possible so as to save equipment cost and power. Innature, there is a noncooperative relation between the DC level and server level in the selection. To attain these objectives and capture the noncooperative relation, multiobjective bilevel programming is used to formulate the problem. Then a unified genetic algorithm is proposed to solve the problem which realizes the selection of DC and server simultaneously. The extensive simulation shows that the proposed algorithm outperforms baseline algorithm in both quality of service guaranteeing and cost saving.
机译:分布式云已被广泛采用以支持来自分散区域的服务请求,特别是对于大型企业,该企业需要为多个地理分布的分支公司提供虚拟桌面。云服务提供商(CSP)旨在以最低的成本提供令人满意的服务。 CSP选择更靠近分支公司的适当数据中心(DC),以缩短对用户请求的响应时间。同时,它还努力降低DC级别和服务器级别的成本。在DC级别,应减少昂贵的长途DC间带宽消耗,并寻求更低的电价。在每个树状DC内,试图尽量减少服务器的使用,以节省设备成本和功耗。本质上,选择中的DC级别和服务器级别之间没有合作关系。为了实现这些目标并捕获非合作关系,使用多目标双层编程来阐述问题。然后提出一种统一的遗传算法来解决实现DC和服务器同时选择的问题。广泛的仿真表明,该算法在保证服务质量和节省成本方面均优于基线算法。

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  • 来源
    《Mathematical Problems in Engineering》 |2016年第2期|9084370.1-9084370.15|共15页
  • 作者单位

    Harbin Inst Technol, Sch Comp Sci & Technol, Shenzhen Grad Sch, Shenzhen 518055, Peoples R China|Publ Serv Platform Mobile Internet Applicat Secur, Shenzhen 518057, Peoples R China;

    Harbin Inst Technol, Sch Comp Sci & Technol, Shenzhen Grad Sch, Shenzhen 518055, Peoples R China|Shenzhen Key Lab Internet Informat Collaborat, Shenzhen 518055, Peoples R China;

    Harbin Inst Technol, Sch Comp Sci & Technol, Shenzhen Grad Sch, Shenzhen 518055, Peoples R China|Shenzhen Key Lab Internet Informat Collaborat, Shenzhen 518055, Peoples R China;

    Harbin Inst Technol, Sch Comp Sci & Technol, Shenzhen Grad Sch, Shenzhen 518055, Peoples R China|Shenzhen Appl Technol Engn Lab Internet Multimedi, Shenzhen 518055, Peoples R China;

    Harbin Inst Technol, Sch Comp Sci & Technol, Shenzhen Grad Sch, Shenzhen 518055, Peoples R China|Shenzhen Key Lab Internet Informat Collaborat, Shenzhen 518055, Peoples R China;

    Harbin Inst Technol, Sch Comp Sci & Technol, Shenzhen Grad Sch, Shenzhen 518055, Peoples R China|Shenzhen Key Lab Internet Informat Collaborat, Shenzhen 518055, Peoples R China;

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