面向节能协同移动计算的联盟形成

Liyao Xiang, Baochun Li, Bo Li
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引用次数: 13

摘要

通过移动卸载,可以将计算密集型任务从移动设备卸载到云端,从而节省能源。原则上,这个想法是用相对较低的通信能耗换取较高的计算功耗。在本文中,我们提出计算密集型任务可以分布在附近的移动设备上,并重点研究了一组移动用户可以为一个共同的目标任务相互协作的情况。特别是,用户可以通过将部分工作委托给联盟中附近的用户来减少自己的能源消耗。提出了基于博弈论的分布式协作策略,并将该问题表述为用户根据局部偏好加入或退出联盟的不可转移效用联盟形成博弈。对所得分区的稳定性进行了研究。我们通过仿真表明,与非合作情况相比,所提出的算法减少了高达22%的平均能源成本,并且运行时间随用户数量的增加而增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Coalition Formation Towards Energy-Efficient Collaborative Mobile Computing
With mobile offloading, computation-intensive tasks can be offloaded from mobile devices to the cloud to conserve energy. In principle, the idea is to trade the relatively low communication energy expense for high computation power consumption. In this paper, we propose that computation-intensive tasks can be distributed among nearby mobile devices, and focus on the case that a group of mobile users may collaborate with one another with one common target job. In particular, a user can reduce its own energy consumption by delegating a portion of the job to nearby users in a coalition. We propose distributed collaboration strategies based on game theory, and formulate the problem as a non-transferable utility coalition formation game in which users join or split from coalitions depending on the local preference. The stability of the resulting partition is studied. We show through simulation that the proposed algorithm reduces up to 22% of the average energy costs compared to the non-cooperative case, and the running time scales well as the number of users grows.
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