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A Stackelberg game based task offloading mechanism for ad-hoc based mobile cloud computing

机译:基于Ad hoc的移动云计算的基于Stackelberg游戏的任务分载机制

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Despite of the increasing usage of traditional cloud computing, there are still some issues unsolved due to inherent problems of cloud computing, such as long latency and lack of mobility support. The development of mobile cloud computing shows that utilizing the unused resources of mobile devices nearby can achieve better overall system performance. As the surrounding devices are in general have limited computation resources and battery life, they may be selfish to share their resource. To solve this selfish problem, we designed a cooperation enhancement model based on Stackelberg game for ad-hoc based mobile cloud computing. First, we discussed the key elements in task offloading progress and the appropriate procedure to employ an incentive mechanism. Second, we analyzed the profits of all the devices and formulated a model based on Stackelberg game, which taken devices' states and efforts into consideration. Then, we analyzed the model and concluded that there exists a unique Stackelberg equilibrium. Furthermore, we designed a ternary search based algorithm to reach the equilibrium which can maximize the pure profit for both the task publisher and participants. Finally, we conducted simulations to evaluate the effectiveness of the proposed scheme. The results show that our incentive mechanism can enhance the cooperation among the mobile devices, improve their profits and promote the task to be quickly completed.
机译:尽管传统云计算的使用越来越多,但是由于云计算的内在问题(例如长等待时间和缺乏移动性支持),仍有一些问题尚未解决。移动云计算的发展表明,利用附近移动设备的未使用资源可以实现更好的整体系统性能。由于周围的设备通常具有有限的计算资源和电池寿命,因此共享它们的资源可能会很自私。为了解决这个自私的问题,我们设计了一个基于Stackelberg游戏的协作增强模型,用于基于Ad hoc的移动云计算。首先,我们讨论了任务分流进度中的关键要素以及采用激励机制的适当程序。其次,我们分析了所有设备的利润,并基于Stackelberg博弈建立了一个模型,其中考虑了设备的状态和努力。然后,我们分析了模型并得出结论,存在唯一的Stackelberg平衡。此外,我们设计了一种基于三元搜索的算法来达到平衡,该平衡可以使任务发布者和参与者的纯利润最大化。最后,我们进行了仿真以评估所提出方案的有效性。结果表明,我们的激励机制可以增强移动设备之间的合作,提高移动设备的利润,促进移动设备快速完成任务。

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