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首页> 外文期刊>IEEE Transactions on Green Communications and Networking >Centralized and Distributed Architectures for Energy and Delay Efficient Fog Network-Based Edge Computing Services
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Centralized and Distributed Architectures for Energy and Delay Efficient Fog Network-Based Edge Computing Services

机译：基于能源和延迟的高效雾网络边缘计算服务的集中和分布式体系结构

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摘要

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.
机译：边缘计算技术允许利用网络边界的设备进行计算，以减少集中式云请求。雾网络是用于实现边缘计算服务的可行解决方案。在这种情况下，已部署的雾节点（FN）能够将单个任务的不同部分卸载到要在网络边缘进行处理的可用节点。但是，要部分卸载，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更多的发送和接收时间。在本文中，重点是部分卸载方法，该方法通过比较集中式和分布式体系结构估计要卸载到网络边缘可用设备的部分时，要考虑FN能耗和任务处理延迟之间的折衷。 。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。

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