SFANT: A SRv6-Based Flexible and Active Network Telemetry Scheme in Programming Data Plane

被引:5
作者
Liu, Ying [1 ]
Xia, Yu [1 ]
Zhang, Weiting [1 ]
Jia, Wenqian [2 ]
Wu, Juqin [1 ]
机构
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
[2] Tianyiyun Technol Co Ltd, Beijing 100007, Peoples R China
来源
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING | 2024年 / 11卷 / 03期
关键词
Programmable data plane; network telemetry; SRv6; path planning; ARCHITECTURE;
D O I
10.1109/TNSE.2023.3277000
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
With the innovation of industrial business, there is an urgent need to propose real-time and flexible measurement solutions that can cope with some use cases. In-band network telemetry enables user packets to directly carry network status information, providing a new network measurement way. However, embedding telemetry information reduces the payload ratio of user packets. Besides, the monitoring range is limited by the transmission path of packets. In this article, an active network telemetry scheme based on P4 is proposed, which introduces the SRv6 mechanism based on custom probes. It collects network status information from the data plane forwarding device, which ensures the accuracy of telemetry information and the granularity of packet-level collection. In addition, the probe collects the network information according to the specified path and flexibly arranges the monitoring target, range, and information category based on the telemetry requirements. The experimental results demonstrate that the scheme has high statistical accuracy and can effectively cover the telemetry range with the minimum path cost while utilizing link bandwidth resources more sparingly, which provides a more flexible way for network telemetry.
引用
收藏
页码:2415 / 2425
页数:11
相关论文
共 43 条
[1]   Security in Software Defined Networks: A Survey [J].
Ahmad, Ijaz ;
Namal, Suneth ;
Ylianttila, Mika ;
Gurtov, Andrei .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2015, 17 (04) :2317-2346
[2]   The impact of 5G on the evolution of intelligent automation and industry digitization [J].
Attaran, Mohsen .
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2021, 14 (5) :5977-5993
[3]   PINT: Probabilistic In-band Network Telemetry [J].
Ben Basat, Ran ;
Ramanathan, Sivaramakrishnan ;
Li, Yuliang ;
Antichi, Gianni ;
Yu, Minlan ;
Mitzenmacher, Michael .
SIGCOMM '20: PROCEEDINGS OF THE 2020 ANNUAL CONFERENCE OF THE ACM SPECIAL INTEREST GROUP ON DATA COMMUNICATION ON THE APPLICATIONS, TECHNOLOGIES, ARCHITECTURES, AND PROTOCOLS FOR COMPUTER COMMUNICATION, 2020, :662-680
[4]  
Bhamare D., 2019, IEEE ICC, P1, DOI DOI 10.1109/icc.2019.8761722
[5]  
Brockners F., 2022, Internet Requests Comments, RFC 9197
[6]   Near-Optimal Probing Planning for In-Band Network Telemetry [J].
Castro, Ariel G. ;
Lorenzon, Arthur F. ;
Rossi, Fabio D. ;
da Costa Filho, Roberto I. T. ;
Ramos, Fernando M., V ;
Rothenberg, Christian E. ;
Luizelli, Marcelo C. .
IEEE COMMUNICATIONS LETTERS, 2021, 25 (05) :1630-1634
[7]  
Chen Du, 2022, 2022 IEEE Globecom Workshops (GC Wkshps), P1699, DOI 10.1109/GCWkshps56602.2022.10008610
[8]  
Cisco, 2017, Netflow.
[9]   Self-Adaptive Sampling for Network Traffic Measurement [J].
Du, Yang ;
Huang, He ;
Sun, Yu-E ;
Chen, Shigang ;
Gao, Guoju .
IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (IEEE INFOCOM 2021), 2021,
[10]  
Filsfils C., 2018, RFC8402 INT ENG TASK