@inproceedings{a229e37852d54993801704e28e2bbbe6,
title = "Provenance for intent-based networking",
abstract = "Intent-based networking (IBN) promises to simplify the network management and automated orchestration of high-level policies in future networking architectures such as software-defined networking (SDN). However, such abstraction and automation creates new network visibility challenges. Existing SDN network forensics and diagnostics tools operate at a lower level of network abstraction, which makes intent-level reasoning difficult. We present PRovINTENT, a framework extension for SDN control plane tools that accounts for intent semantics. PRovINTENT records the provenance and evolution of intents as the network's state and apps' requests change over time and enables reasoning at multiple abstractions. We define an intent provenance model, we implement a proof-of-concept tool, and we evaluate the efficacy of PRovINTENT'S explanatory capabilities by using a representative intent-driven network application.",
keywords = "Data provenance, IBN, Intent-based networking, Network diagnostics, Network troubleshooting, Network visibility, PROV, Root cause analysis, SDN, Software-defined networking",
author = "Ujcich, {Benjamin E.} and Adam Bates and Sanders, {William H.}",
note = "Funding Information: ACKNOWLEDGMENT The authors would like to thank Jenny Applequist for her editorial assistance. This material is based upon work supported by the National Science Foundation under Grant Nos. CNS-1657534 and CNS-1750024. Publisher Copyright: {\textcopyright} 2020 IEEE.; 6th IEEE Conference on Network Softwarization, NetSoft 2020 ; Conference date: 29-06-2020 Through 03-07-2020",
year = "2020",
month = jun,
doi = "10.1109/NetSoft48620.2020.9165519",
language = "English (US)",
series = "Proceedings of the 2020 IEEE Conference on Network Softwarization: Bridging the Gap Between AI and Network Softwarization, NetSoft 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "195--199",
editor = "{De Turck}, Filip and Prosper Chemouil and Tim Wauters and Zhani, {Mohamed Faten} and Walter Cerroni and Rafael Pasquini and Zuqing Zhu",
booktitle = "Proceedings of the 2020 IEEE Conference on Network Softwarization",
address = "United States",
}