Abstract
In-band network telemetry (INT) in programming protocol-independent packet processor (P4) is an emerging network monitoring framework that allows data packets to query different switch-internal states. Meanwhile, the existing INT monitors all data packets and thus significant network overhead can be caused by per-packet INT header and the monitoring engine can be overloaded. To address these issues, we proposed a selective INT (sINT) where the ratio of packets to be monitored can be adjusted depending on the frequency of significant changes in network information. The preliminary results show that sINT can detect all the significant data plane events while reducing the network overhead and the monitoring engine load.
Original language | English |
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Title of host publication | Proceedings of the 2018 IEEE 7th International Conference on Cloud Networking, CloudNet 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781538668313 |
DOIs | |
Publication status | Published - 2018 Nov 27 |
Event | 7th IEEE International Conference on Cloud Networking, CloudNet 2018 - Tokyo, Japan Duration: 2018 Oct 22 → 2018 Oct 24 |
Publication series
Name | Proceedings of the 2018 IEEE 7th International Conference on Cloud Networking, CloudNet 2018 |
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Other
Other | 7th IEEE International Conference on Cloud Networking, CloudNet 2018 |
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Country/Territory | Japan |
City | Tokyo |
Period | 18/10/22 → 18/10/24 |
Bibliographical note
Funding Information:ACKNOWLEDGEMENT This research was supported in part by IITP grant funded by the Korea government(MSIT) (No. 2017-0-00195) and in part by NRF of Korea Grant funded by the Korean Government (MSIP) (No. 2017R1E1A1A01073742).
Funding Information:
This research was supported in part by IITP grant funded by the Korea government(MSIT) (No. 2017-0-00195) and in part by NRF of Korea Grant funded by the Korean Government (MSIP) (No. 2017R1E1A1A01073742).
Publisher Copyright:
© 2018 IEEE.
ASJC Scopus subject areas
- Computer Networks and Communications
- Information Systems and Management
- Safety, Risk, Reliability and Quality