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A Power and Latency Aware Cloudlet Selection Strategy for Multi-Cloudlet Environment

机译:用于多云环境的电源和延迟感知云选择策略

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Fast interactive response in mobile cloud computing is an emerging area of interest. Execution of applications inside the remote cloud increases the delay and affects the service quality. To avoid this difficulty cloudlet is introduced. Cloudlet provides the same service to the device as cloud at low latency but at high bandwidth. But selection of a cloudlet for offloading computation at low power is a major challenge if more than one cloudlet is available nearby. In this paper we have proposed a power and latency aware optimum cloudlet selection strategy for multi-cloudlet environment with the introduction of a proxy server. Theoretical analysis show that using the proposed approach the power and the latency consumption are reduced by approximately 29-32 and 33-36 percent respectively than offloading to the remote cloud. An experimental analysis of the proposed cloudlet selection scheme is performed using cloudlets and cloud servers located at our university laboratory. Theoretical and experimental results demonstrate that using the proposed strategy power and latency aware cloudlet selection can be performed. The proposed approach is compared with the existing methods on multi-cloudlet scenario to demonstrate that the proposed approach reduces the power consumption and the system response time.
机译:移动云计算中的快速交互式响应是一个新兴的领域。在远程云内部执行应用程序会增加延迟,并影响服务质量。为了避免这种困难,引入了cloudlet。 Cloudlet以低延迟但以高带宽向设备提供与云相同的服务。但是,如果附近有多个Cloudlet,那么选择一个Cloudlet进行低功耗卸载将是一项重大挑战。在本文中,我们通过引入代理服务器,为多云环境提出了一种具有功耗和延迟意识的最优云选择策略。理论分析表明,与卸载到远程云相比,使用所提出的方法,功率和等待时间消耗分别减少了大约29-32%和33-36%。使用位于我们大学实验室的cloudlets和cloud服务器对提议的cloudlet选择方案进行了实验分析。理论和实验结果表明,使用所提出的策略可以进行能力和等待时间感知的小云选择。将本文提出的方法与现有的多云环境下的方法进行了比较,证明了本文提出的方法减少了功耗和系统响应时间。

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