Online Algorithms for Location-Aware Task Offloading in Two-Tiered Mobile Cloud Environments
Online Algorithms for Location-Aware Task Offloading in Two-Tiered Mobile Cloud Environments
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DOI：
10.1109/ucc.2014.19
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发表时间：
2014-12
期刊：
影响因子：
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通讯作者：
Qiufen Xia;W. Liang;Zichuan Xu;B. Zhou
中科院分区：
文献类型：
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作者：
Qiufen Xia;W. Liang;Zichuan Xu;B. Zhou
移动的云计算（MCC）正在成为一种主要的无处不在的计算平台，它能够通过将数据密集型计算任务从资源贫乏的移动的设备卸载到资源丰富的云来利用移动的设备和无线网络的资源限制。在本文中，我们考虑了一个在线的位置感知卸载问题，在两层移动的云计算环境组成的本地cloudlet和远程云，其目标是公平地分享使用的cloudlet消耗相同比例的移动终端的能量，同时保持各自的SLA，为此，我们设计了一个有效的在线算法。我们还进行了模拟实验，以评估所提出的算法的性能。实验结果表明，该算法是有前途的，优于其他算法。
Mobile Cloud Computing (MCC) is emerging as a main ubiquitous computing platform which enables to leverage the resource limitations of mobile devices and wireless networks by offloading data-intensive computation tasks from resource-poor mobile devices to resource-rich clouds. In this paper, we consider an online location-aware offloading problem in a two-tiered mobile cloud computing environment consisting of a local cloudlet and remote clouds, with an objective to fair share the use of the cloudlet by consuming the same proportional of their mobile device energy, while keeping their individual SLA, for which we devise an efficient online algorithm. We also conduct experiments by simulations to evaluate the performance of the proposed algorithm. Experimental results demonstrate that the proposed algorithm is promising and outperforms other heuristics.