Edge Computing for Emerging Markets Addressing African Needs

Mxolisi Mtshali, S. Dlamini, M. Adigun, P. Mudali
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引用次数: 1

Abstract

With the pacing of the next industrial revolution and adoption of industrial internet of things. It’s difficult for emerging markets to keep-up with the pacing evolution of technology due to economic reasons of course. However, edge computing has emerged as a promising technology that also caters for emerging markets enabling them to pace up with the evolution of technology. Edge computing is defined as distributed computing paradigm in which computation is largely or completely performed on distributed edge device nodes known as edge computing nodes as opposed to primarily taking place in a centralized cloud environment. This computing paradigm has been adopted mostly to reduce the workload from cloud computing or to provide computing closer to the user in order to improve performance. This paper presents a review of three edge deployment architectures focusing on their impact on emerging markets. Furthermore, present discussion of use cases in emerging markets and their business case. We then provide a framework promising to cater for edge challenges and finally provide simulation results performed on iFogSim as a framework proof of concept. The simulation result shows edge perfoms better than cloud interms of resource use. Therefore, the proposed framework is recommended and reliable for emerging markets use cases. This work only modelled a precision farming use case.
新兴市场边缘计算解决非洲需求
随着下一次工业革命的步伐和工业物联网的采用。当然,由于经济原因,新兴市场很难跟上技术发展的步伐。然而,边缘计算已经成为一项有前途的技术,它也迎合了新兴市场,使它们能够跟上技术的发展。边缘计算被定义为分布式计算范式,其中计算大部分或完全在称为边缘计算节点的分布式边缘设备节点上执行,而不是主要在集中式云环境中进行。采用这种计算范式主要是为了减少来自云计算的工作负载,或者提供更接近用户的计算,以提高性能。本文回顾了三种边缘部署架构,重点介绍了它们对新兴市场的影响。此外,对新兴市场中的用例及其业务用例进行了讨论。然后,我们提供了一个有望满足边缘挑战的框架,并最终提供了在iFogSim上执行的仿真结果作为框架概念验证。仿真结果表明,边缘算法在资源利用方面优于云算法。因此,建议的框架对于新兴市场用例是可靠的。这项工作只模拟了一个精准农业用例。
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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