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Energy-efficient and network-aware offloading algorithm for mobile cloud computing

机译:用于移动云计算的高能效和网络感知卸载算法

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We propose a new system architecture for mobile cloud computing (MCC) that includes a middle layer sitting between mobile devices and their cloud infrastructure or clones. This middle layer is composed of cloudlets and is thus called a cloudlet layer. Cloudlets are deployed next to IEEE 802.11 access points and serve as a localized service point in close proximity to mobile devices to improve the performance of mobile cloud services. On top of this new architecture, an offloading algorithm is proposed with the main aim of deciding whether to offload to a clone or a cloudlet. The decision-making takes into consideration the energy consumption for task execution and the network status while satisfying certain task response time constraints. We also introduce a data caching mechanism at cloudlets to further improve the overall MCC performance. Simulation results demonstrate the effectiveness and efficiency of the proposed system architecture and offloading algorithm in terms of response time and energy consumption.
机译:我们提出了一种用于移动云计算(MCC)的新系统架构,其中包括位于移动设备及其云基础架构或克隆之间的中间层。该中间层由小云组成,因此被称为小云层。 Cloudlets部署在IEEE 802.11接入点旁边,并充当与移动设备紧邻的本地化服务点,以提高移动云服务的性能。在这种新架构的基础上,提出了一种卸载算法,其主要目的是确定是要卸载到克隆还是cloudlet。决策时要考虑任务执行所消耗的能量和网络状态,同时还要满足某些任务响应时间约束。我们还在cloudlets上引入了一种数据缓存机制,以进一步提高整体MCC性能。仿真结果证明了所提系统架构和卸载算法在响应时间和能耗方面的有效性和效率。

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