面向 IIoT 的人工智能云连续性:挑战与机遇

Elisa Rojas, David Carrascal, Diego Lopez-Pajares, Nicolas Manso, J. M. Arco
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引用次数: 0

摘要

过去十年来,联网设备呈指数级增长,尤其是在网络边缘,而且这种明显的趋势仍然预示着联网物联网(IoT)设备数量的增加。因此,网络智能正在从核心和云转移到边缘,建立起一个云连续体。在这方面,人工智能(AI)促进了这一演变,同时也从网络中受益。由于工业物联网(IIoT)是这一人工智能云连续体的主要垂直领域之一,我们将在本文中探讨该领域的最新进展、标准现状、实际实施情况和行业需求,并在此分析基础上列出一系列公开挑战和机遇。我们的目的是为该领域的研究人员提供一个总结性概述和具体的出发点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards AI-enabled Cloud Continuum for IIoT: Challenges and Opportunities
The last decade has demonstrated an exponential growth in connected devices, particularly at the network edge, and this marked tendency still foresees a increase of the number of connected Internet-of-Things (IoT) devices. Accordingly, the network intelligence is moving from the core and cloud to the edge, establishing a cloud continuum. In this regard, Artificial Intelligence (AI) promotes that evolution and, at the same time, benefits from networking as well. Since Industrial IoT (IIoT) is one of the main verticals of this AI-enabled cloud continuum, in this article we explore the most recent advances in this area, the current status of standards, practical implementations, industry requirements, and, based on that analysis, we list a set of open challenges and opportunities. Our intention is to provide a summarized overview together with specific departing points for researchers in the field.
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