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Fog and Edge Computing: Challenges and Emerging Trends (Invited Talk)

机译:雾和边缘计算:挑战和新兴趋势(邀请谈话)

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Just as the trend of data and computing consolidation via cloud computing starts to fade out, new paradigms that can better handle the unique demand of Internet of Things (IoT) and Big Data emerged in the form of edge and fog computing. Although the literature provides different accounts for the differences between these emerging paradigms, they both rely on computing and storage devices that are closer to IoT devices and users than regular cloud data centers. With the advantage of smaller latencies, they introduce issues such as higher complexity for application development and deployment. In this talk, I will present the context in which these paradigms developed, challenges inhibiting their adoption, and emerging approaches to address some of these issues.
机译:正如通过云计算的数据和计算整合的趋势,开始淡出,可以更好地处理物联网的独特需求(IOT)和以边缘和雾计算形式出现的大数据的新的范式。虽然文献提供了不同的账户,但是对于这些新兴范式之间的差异,它们依赖于更靠近物联网设备和用户的计算和存储设备而不是普通云数据中心。凭借较小的延迟的优势,它们引入了诸如应用程序开发和部署的复杂性更高的问题。在这次谈判中,我将介绍这些范例开发的上下文,抑制他们采用的挑战,以及出现解决这些问题的新兴的方法。

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