云、雾和边缘:未来的合作?

Kay Bierzynski, Antonio Escobar, Matthias Eberl
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引用次数: 61

摘要

传统的基于云的基础设施不足以满足当前物联网(IoT)应用的需求。两个主要问题是延迟和网络带宽方面的限制。近年来,人们提出了雾计算和边缘计算的概念,通过将数据处理能力更靠近网络边缘来缓解这些限制。考虑到物联网的增长和发展预测,我们认为,在许多情况下,物联网的全部潜力只能通过结合云、雾和边缘计算来释放。本文讨论了在这些级别之间分配工作负载的四种可能方法。我们还强调了硬件、机器学习、安全、隐私和通信领域的发展和可能性,并考虑了实施的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cloud, fog and edge: Cooperation for the future?
Traditional cloud-based infrastructures are not enough for the current demands of Internet of Things (IoT) applications. Two major issues are the limitations in terms of latency and network bandwidth. In recent years, the concepts of fog computing and edge computing were proposed to alleviate these limitations by moving data processing capabilities closer to the network edge. Considering IoT growth and development forecasts, we believe the full potential of IoT can, in many cases, only be unlocked by combining cloud, fog and edge computing. This paper discusses four possible approaches for distributing workload among these levels. We also highlight developments and possibilities as well as consider challenges for implementation in the areas of hardware, machine learning, security, privacy and communication.
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