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User Utility Oriented Queuing Model for Resource Allocation in Cloud Environment

机译:面向用户实用程序的云环境中资源分配的排队模型

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摘要

Resource allocation is one of the most important research topics in servers. In the cloud environment, there are massive hardware resources of different kinds, and many kinds of services are usually run on virtual machines of the cloud server. In addition, cloud environment is commercialized, and economical factor should also be considered. In order to deal with commercialization and virtualization of cloud environment, we proposed a user utility oriented queuing model for task scheduling. Firstly, we modeled task scheduling in cloud environment as an M/M/1 queuing system. Secondly, we classified the utility into time utility and cost utility and built a linear programming model to maximize total utility for both of them. Finally, we proposed a utility oriented algorithm to maximize the total utility. Massive experiments validate the effectiveness of our proposed model.
机译:资源分配是服务器中最重要的研究主题之一。在云环境中,存在大量种类繁多的硬件资源,并且通常在云服务器的虚拟机上运行多种服务。此外,云环境已商业化,还应考虑经济因素。为了应对云环境的商业化和虚拟化,我们提出了一种面向用户实用程序的任务调度排队模型。首先,我们将云环境中的任务调度建模为M / M / 1排队系统。其次,我们将效用分为时间效用和成本效用,并建立了线性规划模型以最大化两者的总效用。最后,我们提出了一种面向效用的算法,以最大化总效用。大量实验验证了我们提出的模型的有效性。

著录项

  • 来源
    《Journal of electrical and computer engineering》 |2015年第2015期|246420.1-246420.8|共8页
  • 作者

    Zhe Zhang; Ying Li;

  • 作者单位

    Institute of Software, Nanyang Normal University, Nanyang, Henan 473061, China;

    Institute of Software, Nanyang Normal University, Nanyang, Henan 473061, China;

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  • 正文语种 eng
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