A Resource Crowd Funding Model Based on Cooperative Game in Fog Computing

Xuehong Chen, Y. Sun, Xiaolong He
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Abstract

Compared with cloud computing, fog computing has a better performance on location-awareness, mobility support, and time delay. However, the resource quantity and resource types owned by the fog node are relatively limited, which cannot meet the demand of high-performance computing tasks. The scheme of resource sharing can resolve this problem. Therefore, in this paper, we proposed a new resource sharing scheme called resource crowd funding based on cooperative game, which can realize the resource sharing among different fog computing nodes. The resource utilization rate has increased and the fog nodes can acquire additional rewards through task cooperation in this new model, which can be shown in the simulations.
基于协作博弈的雾计算资源众筹模型
与云计算相比,雾计算在位置感知、移动支持和时间延迟方面具有更好的性能。但雾节点拥有的资源量和资源类型相对有限,无法满足高性能计算任务的需求。资源共享方案可以解决这一问题。因此,本文提出了一种新的资源共享方案,即基于合作博弈的资源众筹,可以实现不同雾计算节点之间的资源共享。仿真结果表明,该模型通过任务协作提高了资源利用率,并且雾节点可以获得额外的奖励。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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