Role of Big Data Analytics and Edge Computing in Modern IoT Applications: A Systematic Literature Review

Ali E. M. Saeed, M. K. Khattak, S. Rashid
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Abstract

the internet of things has spread to every personal and commercial domain. The devices ranging from health monitoring band to heavy electrical and mechanical machinery monitoring nodes are generating data at volumes that is exploding at exponential rate. The data is not only increasing in volume but the velocity of the data generation has also increased. The high volume and velocity along with variety is becoming a bigger challenge every day. The industry and academia have come up with standards like IIoT 4.0 and new computational models like edge and fog are introduced. A systematic literature review is conducted to explore the current solutions and challenges in this domain. Different research questions are asked before the review to look for specific answers. The results highlights different challenges, future directions, suggestions and answers to the research questions initially asked.
大数据分析和边缘计算在现代物联网应用中的作用:系统文献综述
物联网已经蔓延到每个个人和商业领域。从健康监测带到重型电气和机械机械监测节点的设备正在以指数级的速度产生大量数据。数据量不仅在增加,而且数据生成的速度也在加快。高容量、高速度和多样性每天都成为更大的挑战。业界和学术界已经提出了IIoT 4.0等标准,并引入了边缘和雾等新的计算模型。通过系统的文献综述,探讨了该领域当前的解决方案和挑战。在回顾之前,会提出不同的研究问题,以寻找具体的答案。结果突出了不同的挑战,未来的方向,建议和最初提出的研究问题的答案。
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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