Guest Editorial: Special section on Networks, Systems, and Services Operations and Management Through Intelligence

被引:0
|
作者
Zincir-Heywood, Nur [1 ]
Birke, Robert [2 ]
Bou-Harb, Elias [3 ]
Inoue, Takeru [4 ]
Kumar, Neeraj [5 ]
Lutfiyya, Hanan [6 ]
Puthal, Deepak [7 ]
Shami, Abdallah [8 ]
Stakhanova, Natalia [9 ]
机构
[1] Dalhousie Univ, Fac Comp Sci, Halifax, NS B3H 4R2, Canada
[2] Univ Turin, Dept Comp Sci, I-10124 Turin, Italy
[3] Univ Texas San Antonio, Coll Business, San Antonio, TX 78249 USA
[4] NTT Corp, NTT Network Innovat Labs, Yokosuka, Yokoham 239, Japan
[5] Thapar Inst Engn & Technol, Dept Comp Sci & Engn, Patiala 147004, India
[6] Western Univ, Dept Comp Sci, London, ON N6A 3K7, Canada
[7] Newcastle Univ, Sch Comp, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England
[8] Western Univ, Elect & Comp Engn, London, ON N6A 3K7, Canada
[9] Univ Saskatchewan, Dept Comp Sci, Saskatoon, SK S7N 5A2, Canada
来源
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT | 2024年 / 21卷 / 03期
关键词
Special issues and sections; Machine learning; Artificial intelligence; Intelligent systems; Next generation networking; Network systems; Decision making; Data science; Data centers; Control systems; Communication networks;
D O I
10.1109/TNSM.2024.3416861
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Machine Learning (ML) and Artificial Intelligence (AI) can harness the immense amount of operational data from clouds to services, to social and communication networks. In the era of data science and connected devices of all varieties, Intelligence have found ways to improve operations and management of next generation networks, systems, and services. Further research is therefore needed to understand and improve the potential and suitability of ML/AI in the context of network, system, and service operations and management. This will provide deeper understanding and better decision making based on largely collected and available operational and management data. It will also present opportunities for improving ML/AI algorithms on aspects such as reliability, dependability, and scalability, as well as demonstrate the benefits of these methods in control and management systems. Moreover, there is an opportunity to define novel platforms that can harness the vast operational data and advance ML/AI algorithms to drive management decisions in open and highly programmable networks, clouds, and data centers.
引用
收藏
页码:2608 / 2612
页数:5
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