首页> 外文期刊>Cloud Computing, IEEE Transactions on >A Power and Latency Aware Cloudlet Selection Strategy for Multi-Cloudlet Environment
【24h】

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

机译:多Cloudlet环境的电源和延迟感知Cloudlet选择策略

获取原文
获取原文并翻译 | 示例
       

摘要

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感兴趣区域。在远程云中的应用程序会增加延迟并影响服务质量。为避免这种困难,引入了Cloudle。 Cloudlet为设备提供与低延迟下的云相同的服务,但在高带宽下。但是,如果附近有多个Cloudllet,则在低功耗下卸载计算是一个重大挑战。在本文中,我们提出了一种在引入代理服务器的电源和延迟感知的最佳Cloudlet选择策略,用于多Cloudlet环境。理论分析表明,使用所提出的方法的功率和延迟消耗分别比卸载到遥控云的29-32和33-36%。使用位于我们大学实验室的Cloudlet和Cloud Server进行了建议的Cloudlet选择方案的实验分析。理论和实验结果表明,可以使用所提出的策略权力和延迟感知Cloudle选择。将所提出的方法与多Cloudlet场景的现有方法进行比较,以证明所提出的方法降低了功耗和系统响应时间。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号