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An energy harvesting solution for computation offloading in Fog Computing networks
Computer Communications ( IF 4.5 ) Pub Date : 2020-07-02 , DOI: 10.1016/j.comcom.2020.06.032
Arash Bozorgchenani , Simone Disabato , Daniele Tarchi , Manuel Roveri

Fog Computing is a promising networking paradigm enabling the nodes at the edge to share computational and storage resources. Being pervasively distributed, Fog Nodes are often battery powered and, for this reason, an efficient energy management should be considered to prolong network lifetime. In this paper, we introduce a smart energy management solution able to exploit information about the predicted harvested and consumed energy by Fog Nodes, equipped with small solar panels. The smart energy management is applied on a cluster based Fog Computing environment where computation offloading operations are performed. In the experimental section the effect of the smart energy management is explored in terms of network lifetime by considering variable battery size and Fog Nodes density in a realistic solar-panel harvesting-model and Fog Nodes setting.



中文翻译:

雾计算网络中用于计算卸载的能量收集解决方案

雾计算是一种有前途的网络范例,它使边缘节点可以共享计算和存储资源。雾节点无处不在,通常由电池供电,因此,应考虑有效的能源管理以延长网络寿命。在本文中,我们介绍了一种智能能源管理解决方案,该解决方案能够利用有关装有小型太阳能电池板的Fog Nodes预测的收获和消耗能量的信息。智能能源管理应用于基于集群的Fog Computing环境,在该环境中执行计算卸载操作。在实验部分,通过在实际的太阳能电池板收集模型和雾节点设置中考虑可变的电池大小和雾节点密度,从网络寿命的角度探讨了智能能源管理的效果。

更新日期:2020-07-09
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