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B3: Fuzzy-Based Data Center Load Optimization in Cloud Computing

机译:B3:云计算中基于模糊的数据中心负载优化

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摘要

Cloud computing started a new era in getting variety of information puddles through various internet connections by any connective devices. It provides pay and use method for grasping the services by the clients. Data center is a sophisticated high definition server, which runs applications virtually in cloud computing. It moves the application, services, and data to a large data center. Data center provides more service level, which covers maximum of users. In order to find the overall load efficiency, the utilization service in data center is a definite task. Hence, we propose a novel method to find the efficiency of the data center in cloud computing. The goal is to optimize date center utilization in terms of three big factors-Bandwidth, Memory, and Central Processing Unit (CPU) cycle. We constructed a fuzzy expert system model to obtain maximum Data Center Load Efficiency (DCLE) in cloud computing environments. The advantage of the proposed system lies in DCLE computing. While computing, it allows regular evaluation of services to any number of clients. This approach indicates that the current cloud needs an order of magnitude in data center management to be used in next generation computing.
机译:云计算开创了一个新时代,即通过任何连接设备通过各种Internet连接获得各种信息集锦的过程。它提供了付费和使用方法来掌握客户的服务。数据中心是一台复杂的高清服务器,它实际上在云计算中运行应用程序。它将应用程序,服务和数据移动到大型数据中心。数据中心提供了更高的服务水平,覆盖了最多的用户。为了找到整体负载效率,数据中心的利用率服务是一项确定的任务。因此,我们提出了一种新颖的方法来寻找云计算中数据中心的效率。目的是根据带宽,内存和中央处理器(CPU)周期这三个主要因素来优化日期中心利用率。我们构建了一个模糊专家系统模型,以在云计算环境中获得最大的数据中心负载效率(DCLE)。该系统的优点在于DCLE计算。在计算时,它允许定期评估对任意数量客户的服务。这种方法表明,当前的云需要在数据中心管理中使用一个数量级,才能在下一代计算中使用。

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  • 来源
    《Mathematical Problems in Engineering》 |2013年第3期|612182.1-612182.11|共11页
  • 作者单位

    Department of Information Technology, PSNA College of Engineering and Technology, Dindigul, Tamil Nadu 624 622, India;

    Department of Information Technology, PSNA College of Engineering and Technology, Dindigul, Tamil Nadu 624 622, India;

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