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IoT survey: An SDN and fog computing perspective

机译:物联网调查:SDN和雾计算的角度

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Recently, there has been an increasing interest in the Internet of Things (IoT). While some analysts dis-value the loT hype, several technology leaders, governments, and researchers are putting serious efforts to develop solutions enabling wide IoT deployment. Thus, the huge amount of generated data, the high network scale, the security and privacy concerns, the new requirements in terms of QoS, and the heterogeneity in this ubiquitous network of networks make its implementation a very challenging task. SDN, a new networking paradigm, has revealed its usefulness in reducing the management complexities in today's networks. Additionally, SDN, having a global view of the network, has presented effective security solutions. On the other hand, fog computing, a new data service platform, consists of pushing the data to the network edge reducing the cost (in terms of bandwidth consumption and high latency) of "big data" transportation through the core network. In this paper, we critically review the SDN and fog computing-based solutions to overcome the IoT main challenges, highlighting their advantages, and exposing their weaknesses. Thus, we make recommendations at the end of this paper for the upcoming research work. (C) 2018 Elsevier B.V. All rights reserved.
机译:最近,人们对物联网(IoT)的兴趣日益增加。尽管一些分析家不重视loT炒作,但一些技术领导者,政府和研究人员正在认真努力开发可实现广泛IoT部署的解决方案。因此,大量的生成数据,高网络规模,安全性和隐私问题,QoS方面的新要求以及这种无处不在的网络中的异构性使得其实现成为一项非常具有挑战性的任务。 SDN是一种新的网络范例,它已显示出其在降低当今网络管理复杂性方面的有用性。此外,具有网络全局视图的SDN提出了有效的安全解决方案。另一方面,雾计算是一种新的数据服务平台,包括将数据推送到网络边缘,以减少通过核心网络传输“大数据”的成本(就带宽消耗和高延迟而言)。在本文中,我们将严格审查基于SDN和基于雾计算的解决方案,以克服物联网的主要挑战,突出其优势,并揭露其劣势。因此,我们在本文结尾对即将开展的研究工作提出了建议。 (C)2018 Elsevier B.V.保留所有权利。

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