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Entropy-Based Grouping Techniques for Resource Management in Mobile Cloud Computing

机译:基于熵的流动计数的基于熵的分组技术

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Recently, research on utilizing mobile devices as resources in mobile cloud environments has been gaining attention because of the enhanced computing power of mobile devices, with the advent of quad-core chips. Such research is also motivated by the advance of communication networks as well as the growing population of users of smart phones, tablet PCs, and other mobile devices. This trend has led researchers to investigate the utilization of mobile devices in cloud computing. However, mobile devices have several problems such as characteristics of the mobility, low memory, low battery, and low communication bandwidth. Especially, the mobility of mobile device causes system faults more frequently, and system faults prevent application using mobile devices from being processed reliably. Therefore, groups are classified according to the availability and mobility to manage reliable resource. In this paper, we make groups of mobile devices by measuring the behavior of mobile devices and calculating the entropy.
机译:最近,利用移动设备作为移动云环境中的资源的研究一直在关注,因为移动设备的计算能力增强,具有四核芯片的出现。这些研究也受到通信网络的进展以及智能手机,平板电脑和其他移动设备的不断增长的用户的推进。这种趋势领导了研究人员调查云计算中移动设备的利用。然而,移动设备具有若干问题,例如移动性,低存储器,低电量和低通信带宽的特性。特别是,移动设备的移动性使系统故障更频繁,系统故障防止使用移动设备可靠地处理应用。因此,根据用于管理可靠资源的可用性和移动性进行分类。在本文中,我们通过测量移动设备的行为并计算熵来制作移动设备组。

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