Centralized and Distributed Architectures for Energy and Delay Efficient Fog Network-Based Edge Computing Services
Centralized and Distributed Architectures for Energy and Delay Efficient Fog Network-Based Edge Computing Services
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DOI：
10.1109/tgcn.2018.2885443
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发表时间：
2019-03
影响因子：
4.8
通讯作者：
Arash Bozorgchenani;D. Tarchi;G. Corazza
中科院分区：
文献类型：
--
作者：
Arash Bozorgchenani;D. Tarchi;G. Corazza
边缘计算技术允许利用网络边界的设备进行计算工作，以减少集中的云请求。雾网络是实现边缘计算服务的可行解决方案。在此场景中，部署的雾节点 (FN) 能够将单个任务的不同部分卸载到网络边缘的可用节点上进行处理。然而，为了部分卸载，FN 会消耗额外的能量来传输和接收任务，同时通过不自行处理整个任务来节省能量。此外，卸载需要比任务处理时间额外的传输和接收时间。在本文中，重点是部分卸载方法，通过比较集中式和分布式架构，在估计要卸载到网络边缘可用设备的部分时，考虑 FN 能耗和任务处理延迟之间的权衡。仿真结果证明了所提出的估计解决方案在 FN 能耗、平均任务延迟和网络寿命方面的有效性。
Edge computing techniques allow to exploit the devices at the network borders for computing efforts in order to reduce centralized cloud requests. A fog network is a feasible solution for implementing edge computing services. Within this scenario, the deployed fog nodes (FNs) are able to offload different portions of a single task to the available nodes to be processed at the network edge. However, to partially offload, FNs consume an extra amount of energy for transmission and reception of the tasks while saving energy by not processing the whole task on their own. Moreover, offloading requires an extra transmission and reception time to the task processing time. In this paper, the focus is on a partial offloading approach where the tradeoff between FN energy consumption and task processing delay is considered when estimating the portion to be offloaded to the available devices at the edge of the network by comparing a centralized and a distributed architecture. Simulation results demonstrate the effectiveness of the proposed estimation solutions in terms of FN energy consumption, average task delay, and network lifetime.