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Leveraging Intelligent Computation Offloading with Fog/Edge Computing for Tactile Internet: Advantages and Limitations
IEEE NETWORK ( IF 6.8 ) Pub Date : 2020-08-12 , DOI: 10.1109/mnet.001.2000004
Mithun Mukherjee , Mian Guo , Jaime Lloret , Qi Zhang

With the recent advancement in wireless communication and networks, we are at the doorstep of the Tactile Internet. The Tactile Internet aims to enable the skill delivery and thereafter democratize the specialized skills for many emerging applications (e.g., remote medical, industrial machinery, remote robotics, autonomous driving). In this article, we start with the motivation of applying intelligent edge computing for computation offloading in the Tactile Internet. Afterward, we outline the main research challenges to leverage edge intelligence at the master, network, and controlled domain of the Tactile Internet. The key research challenges in the Tactile Internet lie in its stringent requirements such as ultra-low latency, ultra-high reliability, and almost zero service outage. We also discuss major entities in intelligent edge computing and their role in the Tactile Internet. Finally, several potential research challenges in edge intelligence for the Tactile Internet are highlighted.

中文翻译:


利用智能计算卸载和雾/边缘计算实现触觉互联网:优点和局限性



随着无线通信和网络的最新进步,我们已经处于触觉互联网的门口。触觉互联网旨在实现技能交付,并随后使许多新兴应用(例如远程医疗、工业机械、远程机器人、自动驾驶)的专业技能民主化。在本文中,我们从应用智能边缘计算在触觉互联网中进行计算卸载的动机开始。随后,我们概述了在触觉互联网的主控域、网络域和受控域中利用边缘智能的主要研究挑战。触觉互联网的关键研究挑战在于其超低延迟、超高可靠性、几乎零服务中断等严格要求。我们还讨论了智能边缘计算的主要实体及其在触觉互联网中的作用。最后,强调了触觉互联网边缘智能的几个潜在研究挑战。
更新日期:2020-08-12
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