Mobile cloud computing (MCC) is becoming one of the primary applications and research directions of pervasive computing. Previous studies generally focuses '/> Explore virtual machine deployment to mobile cloud computing for multi-tenancy and energy conservation in wireless network
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Explore virtual machine deployment to mobile cloud computing for multi-tenancy and energy conservation in wireless network

机译:探索虚拟机部署到移动云计算的无线网络中多租赁和节能的计算

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AbstractMobile cloud computing (MCC) is becoming one of the primary applications and research directions of pervasive computing. Previous studies generally focuses on the following two kinds of paradigms. One is that mobile users offload computing tasks into traditional clouds to achieve collaboration processing. The other is that multiple mobile devices, as “helpers”, casually provide computing services for other mobile “requesters”. However, with the extraordinary development of mobile devices, new problems of resource utilization and multi-tenancy of mobile devices are emerging. Based on this, we propose a novel MCC paradigm combining virtual machine (VM) technologies to improve the resource utilization of mobile devices, achieve multi-tenancy and thereby obtain the more efficient MCC environment as well as a broader MCC research field. To achieve it, the VM deployment problem must be addressed firstly. The heuristic deployment approach VD-ABC based on an improved artificial bee colony algorithm is proposed. It combines with Boltzmann selection policy, to obtain the optimal solution of VM deployment. In terms of the traits of wireless network in MCC, the mapping from the obtained solution to the final VM deployment is achieved. Simulation results show that VD-ABC has a better energy saving performance while minimizing the service response latency.
机译:<标题>抽象 ara id =“par7”>移动云计算(MCC)正在成为普遍计算的主要应用和研究方向之一。以前的研究通常侧重于以下两种范式。一个是移动用户将计算任务卸载到传统的云中以实现协作处理。另一种是,多个移动设备,作为“求助者”,随便为其他移动“请求者”而随便提供计算服务。然而,随着移动设备的非凡发展,新兴的资源利用和多租户的新问题正在出现。基于此,我们提出了一种新颖的MCC范例组合虚拟机(VM)技术,以提高移动设备的资源利用,实现多租户,从而获得更有效的MCC环境以及更广泛的MCC研究领域。为实现它,必须首先解决VM部署问题。提出了基于改进的人工蜂菌落算法的启发式部署方法VD-ABC。它与Boltzmann选择策略结合起来,以获得VM部署的最佳解决方案。就MCC中的无线网络的特征而言,实现了从所获得的解决方案到最终VM部署的映射。仿真结果表明,VD-ABC具有更好的节能性能,同时最小化服务响应延迟。

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