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  • WIN22_NEAT_Intents

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Improving Intent Correctness with Automated Testing

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published
Publication date3/08/2022
Host publication2022 IEEE 8th International Conference on Network Softwarization (NetSoft)
EditorsAlexander Clemm, Guido Maier, Carmen Mas Machuca, K.K. Ramakrishnan, Fulvio Risso, Prosper Chemouil, Noura Limam
PublisherIEEE
Pages61-66
Number of pages6
ISBN (electronic)9781665406949
<mark>Original language</mark>English

Publication series

NameIEEE International Conference on Network Softwarization (NetSoft)
PublisherIEEE
Number8
ISSN (Print)2693-9770
ISSN (electronic)2693-9789

Abstract

Intent-based networking (IBN) systems have become the de-facto control abstraction to drive self-service, self-healing, and self-optimized capabilities in service delivery processes. Nonetheless, the operation complexity of modern network infrastructures make network practitioners apprehensive towards adoption in production, requiring further evidence for correctness. In this paper, we argue that testing, verification and monitoring should become first-class citizens in reference IBN architecture, in order to improve the detection errors during operations. Towards this goal, we present an extension for an intent architecture that allows IBN system to validate the correctness of network configuration using realistic network emulation. Furthermore, we present an intent use-case that ensure correct operation in hybrid networks.

Bibliographic note

©2022 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.