论文标题
迈向多服务边缘智能范式：对无线的时间关键控制的时间自适应预测
Toward Multi-Service Edge-Intelligence Paradigm: Temporal-Adaptive Prediction for Time-Critical Control over Wireless
论文作者
论文摘要
时间关键控制应用程序通常对通信网络提出严格的连接要求。与无线介质相关的缺陷，例如数据包丢失，同步误差和不同的延迟对实时控制的性能有害影响，通常具有安全性。本文介绍了多功能边缘智能，作为实现对无线时间关键控制的新范式。它提出了多服务边缘智能的概念，该概念围绕着无线访问，边缘计算和机器学习技术的紧密整合，以便在无线缺陷下提供稳定性保证。该论文阐明了多服务边缘智能的一些关键系统设计方面。它还提出了一种时间自适应预测技术，可以应对动态变化的无线环境。它在机器人的近视场景中提供了性能结果。最后，它讨论了一些开放的研究和设计挑战，这些挑战针对多功能边缘智能。
Time-critical control applications typically pose stringent connectivity requirements for communication networks. The imperfections associated with the wireless medium such as packet losses, synchronization errors, and varying delays have a detrimental effect on performance of real-time control, often with safety implications. This paper introduces multi-service edge-intelligence as a new paradigm for realizing time-critical control over wireless. It presents the concept of multi-service edge-intelligence which revolves around tight integration of wireless access, edge-computing and machine learning techniques, in order to provide stability guarantees under wireless imperfections. The paper articulates some of the key system design aspects of multi-service edge-intelligence. It also presents a temporal-adaptive prediction technique to cope with dynamically changing wireless environments. It provides performance results in a robotic teleoperation scenario. Finally, it discusses some open research and design challenges for multi-service edge-intelligence.
