Abstract
Network telemetry provides more accurate and reliable services for intelligent network control by pushing fresh status information actively with help of data plane. However, most existing network telemetry methods are difficult to be deployed effectively in business environment due to the lack of runtime reconfigurability, huge time-space overhead, and high probability of information loss. In this work, we propose a high-versatility approach for network telemetry based on FPGA dynamic reconfigurable pipeline called NT-RP to maintain the balance between the accuracy of the measurement and the overhead in different scenarios. NT-RP can change the processing logic in runtime to obtain different network measurement spontaneously desired by users. Benefiting from distributed cyclic storage strategy and telemetry function integration mechanism, NT-RP can greatly reduce the overhead during measurement and mitigate the telemetry information missing problem caused by packet loss. The implementation of NT-RP in FPGA is evaluated in a real network testbed which consists of a few programmable nodes. Experimental results show that the influence of NT-RP in large traffic scenarios is less than 1%. It is not only able to successfully change the telemetry task during operation, but also perform more accurate network measurements with little telemetry information occupancy.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ben Basat, R., Ramanathan, S., Li, Y., Antichi, G., Yu, M., Mitzenmacher, M.: Pint: probabilistic in-band network telemetry. In: Proceedings of the Annual Conference of the ACM Special Interest Group on Data Communication on the Applications, Technologies, Architectures, and Protocols for Computer Communication, pp. 662–680 (2020)
Kim, Y., Suh, D., Pack, S.: Selective in-band network telemetry for overhead reduction. In: 2018 IEEE 7th International Conference on Cloud Networking (CloudNet), pp. 1–3. IEEE (2018)
Li, J., Yang, X., Sun, Z.: DrawerPipe: a reconfigurable packet processing pipeline for FPGA. J. Comput. Res. Dev. 55(4), 717 (2018)
Min, L., Jinglin, S., Zhongcheng, L., Zhigang, K., Jian, M.: A new end-to-end measurement method for estimating available bandwidth. In: Proceedings of the Eighth IEEE Symposium on Computers and Communications, ISCC 2003, pp. 1393–1400. IEEE (2003)
Pezaros, D.P., Georgopoulos, K., Hutchison, D.: High-speed, in-band performance measurement instrumentation for next generation IP networks. Comput. Netw. 54(18), 3246–3263 (2010)
Tan, L., et al.: In-band network telemetry: a survey. Comput. Netw. 186, 107763 (2021)
Tan, L., Su, W., Zhang, W., Shi, H., Miao, J., Manzanares-Lopez, P.: A packet loss monitoring system for in-band network telemetry: detection, localization, diagnosis and recovery. IEEE Trans. Netw. Serv. Manag. 18(4), 4151–4168 (2021)
Tang, S., Li, D., Niu, B., Peng, J., Zhu, Z.: Sel-INT: a runtime-programmable selective in-band network telemetry system. IEEE Trans. Netw. Serv. Manag. 17(2), 708–721 (2019)
Wang, T., Yang, X., Antichi, G., Sivaraman, A., Panda, A.: Isolation mechanisms for \(\{\)High-Speed\(\}\)\(\{\)Packet-Processing\(\}\) pipelines. In: 19th USENIX Symposium on Networked Systems Design and Implementation (NSDI 2022), pp. 1289–1305 (2022)
Yang, X., et al.: Fast: enabling fast software/hardware prototype for network experimentation. In: 2019 IEEE/ACM 27th International Symposium on Quality of Service (IWQoS), pp. 1–10. IEEE (2019)
Zhao, Y., Cheng, G., Duan, Y., Gu, Z., Zhou, Y., Tang, L.: Secure IoT edge: threat situation awareness based on network traffic. Comput. Netw. 201, 108525 (2021)
Acknowledgement
This work was supported by the National Key R &D Program of China (2018YFB1800602), China Postdoctoral Science Foundation (2022M710677), and Jiangsu Funding Program for Excellent Postdoctoral Talent.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Zhao, D., Cheng, G., Zhao, Y., Zhu, R. (2022). NT-RP: A High-Versatility Approach for Network Telemetry Based on FPGA Dynamic Reconfigurable Pipeline. In: Wang, L., Segal, M., Chen, J., Qiu, T. (eds) Wireless Algorithms, Systems, and Applications. WASA 2022. Lecture Notes in Computer Science, vol 13473. Springer, Cham. https://doi.org/10.1007/978-3-031-19211-1_8
Download citation
DOI: https://doi.org/10.1007/978-3-031-19211-1_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-19210-4
Online ISBN: 978-3-031-19211-1
eBook Packages: Computer ScienceComputer Science (R0)