计算机科学
边缘计算
云计算
雾计算
低延迟(资本市场)
GSM演进的增强数据速率
边缘设备
无线
延迟(音频)
电信
分布式计算
计算机网络
操作系统
作者
Hung‐Yu Wei,Tao Zhang,T.R. Hsing,Doug Zuckerman
出处
期刊:IEEE Communications Magazine
[Institute of Electrical and Electronics Engineers]
日期:2023-12-01
卷期号:61 (12): 38-39
标识
DOI:10.1109/mcom.2023.10375689
摘要
Fog/edge computing and networking offers flexible operational capabilities across the thing-to-cloud continuum, catering to a variety of applications with low-latency requirements and enhanced data privacy. These fog/edge technologies are set to play pivotal roles in future computing systems and 6G wireless communications. They have also demonstrated substantial potential for integration with Machine Learning (ML) technologies. ML can enable smart fogedge computing, while fog/edge infrastructures can also support low-latency ML-based applications.
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