Guest Editorial Introduction to the Special Section on Next-Generation Traffic Measurement With Network-Wide Perspective and Artificial Intelligence

被引:0
作者
Huang, He [1 ]
Chen, Shigang [2 ]
Basat, Ran Ben [3 ]
Dai, Haipeng [4 ]
Taherkordi, Amirhosein [5 ]
Xu, Jun [6 ]
机构
[1] Soochow Univ, Sch Comp Sci & Technol, Suzhou 215123, Peoples R China
[2] Univ Florida, Dept Comp & Informat Sci & Engn, Gainesville, FL 32611 USA
[3] UCL, Dept Comp Sci, London NW1 2AE, England
[4] Nanjing Univ, State Key Lab Novel Software Technol, Nanjing 210023, Peoples R China
[5] Univ Oslo, Dept Informat, N-0316 Oslo, Norway
[6] Georgia Inst Technol, Coll Comp, Atlanta, GA USA
来源
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING | 2024年 / 11卷 / 03期
关键词
Special issues and sections; Next generation networking; Telecommunication traffic; Data analysis; Artificial intelligence; Network systems; Market research; Distributed databases; SYSTEM;
D O I
10.1109/TNSE.2024.3389428
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Traffic measurement is the bedrock of the next-generation network systems. While it plays a crucial role in bringing fundamental data and support to core network functions, it also confronts the challenge of meeting the diverse demands of new network traffic characteristics and emerging applications. The network-wide measurement has received more and more attention. Given that big network data is distributed in nature, it is essential to aggregate the views of multiple measurement points to build a network-wide perception of traffic. Another latest trend involves artificial intelligence technologies that allow seamless aggregation of multifaceted network traffic data to advance traffic data analysis and support related applications. Nonetheless, a gap remains in existing methodologies, which often fail to fully address the diverse demands of network traffic measurement in this evolving landscape.
引用
收藏
页码:2332 / 2337
页数:6
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