Edge computing in IoT: Preliminary results on modeling and performance analysis

Julius Skirelis, D. Navakauskas
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引用次数: 1

Abstract

Edge computing, the subsidiary model of Cloud computing, is aiming to push computational resources closer to the edge of network. Its objectives are to improve network latency and ensure efficiency of performed tasks. However Internet of Things (IoT) devices usually are of limited processing power or/and connecting to network episodically, mostly due to power saving necessity and mobility. Thus in the paper investigation of the performance of edge computing for IoT is presented. Multiple simulations by EdgeNetworkCloudSim of different topologies, their parameters, together with considered IoT device primary limitations, are carried out. Simulation results confirm the specificity of edge computations for IoT and gives some practical insights.
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物联网中的边缘计算:建模和性能分析的初步结果
边缘计算是云计算的附属模型,旨在推动计算资源更接近网络边缘。其目标是改善网络延迟并确保执行任务的效率。然而,物联网(IoT)设备通常具有有限的处理能力或/或间歇性地连接到网络,主要是由于节能需求和移动性。因此,本文对物联网边缘计算的性能进行了研究。EdgeNetworkCloudSim对不同拓扑及其参数进行了多次模拟,并考虑了物联网设备的主要限制。仿真结果证实了物联网边缘计算的特殊性,并给出了一些实用的见解。
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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