Tradeoff between performance improvement and energy saving in mobile cloud offloading systems

Huaming Wu, Qiushi Wang, K. Wolter
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引用次数: 95

Abstract

Cloud computation offloading is a promising method that sending heavy computation to resourceful servers on cloud and then receiving the results from them. In this paper, we study the offloading techniques and further explore the tradeoff between shortening execution time and extending battery life of mobile devices. A novel adaptive offloading scheme is proposed and analyzed based on the tradeoff analysis. And it can be realized thanks to the elasticity of cloud computing that the resources can be bought on demand. We have tried to find a server on cloud with a critical value of speedup F for a specified mobile device. When satisfying the requirement such as performance improvement by the system, it is worth sacrificing large F when taking economic factor into consideration.
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移动云卸载系统中性能改进与节能之间的权衡
云计算卸载是一种很有前途的方法,它将繁重的计算发送到云上资源丰富的服务器,然后从它们那里接收结果。在本文中,我们研究了卸载技术,并进一步探讨了缩短执行时间和延长移动设备电池寿命之间的权衡。在权衡分析的基础上,提出并分析了一种新的自适应卸载方案。并且由于云计算的弹性,可以实现资源的按需购买。我们尝试在云上找到一个服务器,为特定的移动设备提供临界值的加速F。在满足系统性能提升等要求时,考虑到经济性因素,牺牲较大的F值是值得的。
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