Challenges Facing the Industrial Implementation of Fog Computing

Imen Bouzarkouna, M. Sahnoun, Nouha Sghaier, D. Baudry, C. Gout
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引用次数: 20

Abstract

Recently, the industries converge to the integration of the industry 4.0 paradigm to keep responding to the variable market demands. This integration is realized by the adoption of several components of the industry 4.0 such as IoT, Big Data and Cloud Computing, etc. Several difficulties concerning the integration of data management were encountered during first level of Industry 4.0 integration because of the unexpected quantity of data generated by IoT devices. The Fog computing can be considered as a new component of Industry 4.0 to resolve this kind of problem. However its implementation in the industrial field faces several challenges from different natures. This paper explains the role of Fog Computing solution to enhance the Cloud layer (distribution, low latency, real-time,. . . ) and studies its ability to be implemented in manufacturing systems. The Fog Manufacturing is introduced as the new industrial Fog vision. The challenges preventing the Fog Manufacturing implementation are studied and the links between each other are justified. A future use case is described to carry out the solutions given to satisfy the Fog Manufacturing challenges.
雾计算工业实现面临的挑战
近年来,工业向工业4.0范式的融合发展,以不断应对多变的市场需求。这种融合是通过采用物联网、大数据、云计算等工业4.0的多个组件来实现的。由于物联网设备产生的数据量出乎意料,在工业4.0的第一级集成过程中,遇到了一些关于数据管理集成的困难。雾计算可以被认为是工业4.0的一个新组成部分来解决这类问题。然而,它在工业领域的实施面临着不同性质的挑战。本文阐述了雾计算解决方案在增强云层(分布、低延迟、实时性等)中的作用。并研究了其在制造系统中的实施能力。雾制造是一种新型的工业雾视觉。研究了阻碍雾制造实现的挑战,并证明了彼此之间的联系。描述了一个未来的用例,以执行给定的解决方案,以满足雾制造的挑战。
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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