AI-Driven Packet Forwarding With Programmable Data Plane: A Survey

被引:13
作者
Quan, Wei [1 ]
Xu, Ziheng [1 ]
Liu, Mingyuan [1 ]
Cheng, Nan [2 ]
Liu, Gang [3 ]
Gao, Deyun [1 ]
Zhang, Hongke [1 ,4 ]
Shen, Xuemin [5 ]
Zhuang, Weihua [5 ]
机构
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
[2] Xidian Univ, Sch Telecommun Engn, Key State Lab ISN, Xian 710071, Peoples R China
[3] China Telecom Res Inst, Dept Fundamental Network Technol, Shanghai 200120, Peoples R China
[4] Peng Cheng Lab, PCL Res Ctr Networks & Communicat, Shenzhen 518040, Peoples R China
[5] Univ Waterloo, Dept Elect & Comp Engn, Waterloo, ON N2L 3G1, Canada
来源
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS | 2023年 / 25卷 / 01期
关键词
Machine learning; packet forwarding; pro-grammable data plane; LEARNING APPROACH; NETWORK VIRTUALIZATION; MULTIPATH TCP; SDN; ARCHITECTURE; CLASSIFICATION; COMMUNICATION; INTELLIGENCE; MINIMIZATION; PREDICTION;
D O I
10.1109/COMST.2022.3217613
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The existing packet forwarding technology cannot meet the increasing requirements of Internet development due to its rigid framework. Application of artificial intelligence (AI) for efficient packet forwarding is gaining more and more interest as a new direction. Recently, the explosive development of programmable data plane (PDP) has provided a potential impetus to packet forwarding driven by AI. Therefore, this paper presents a survey on the recent research in AI-driven packet forwarding with PDP. First, we describe two of the most representative frameworks of the packet forwarding, i.e., the traditional AI-driven forwarding framework and the new one assisted by the PDP. Then, we focus on capacity of the packet forwarding under the two frameworks in four measures: delay, throughput, security, and reliability. For each measure, we organize the content with the evolution from simple packet forwarding, to packet forwarding capacity enhancement with the assistance of AI, to the latest research on AI-driven packet forwarding supported by the PDP. Finally, we identify three directions in the development of AI-driven packet forwarding, and highlight the challenges and issues in future research.
引用
收藏
页码:762 / 790
页数:29
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