Guest editorial:AI and edge computing driven technologies and applications

被引：0
|
作者：
Jianhui Lv [1 ]
Yuhui Shi [2 ]
Hui Cheng [3 ]
Zhiwei Lin [4 ]
Lianbo Ma [5 ]
机构：
[1] Peng Cheng Laboratory
[2] Southern University of Science and Technology
[3] University of Hertfordshire
[4] Queen's University
[5] Northeastern
来源：
Digital Communications and Networks | 2023年 / 9卷 / 02期
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论]; TP393.09 [];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ; 080402 ;
摘要：
<正>1.Introduction Emerging networking paradigms,including Information-Centric Networking(ICN) [1],Software-Defined Networking(SDN) [2],Mobile Satellite Communication Networks(MSCN) [3],and Internet of Vehicles(IoV) [4],have faced some severe challenges.For example,the dynamic network environment makes it very hard to optimize resource allocation.In addition,these networking paradigms usually have heterogeneous features,making it difficult to schedule traffic among different kinds of networks.These challenges can be addressed by the adaptive learning of Artificial Intelligence(AI) [5,6] and the edge caching of edge computing.
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收藏
页码：448 / 449
页数：2
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