Modular Control Plane Verification via Temporal Invariants

Author:

Alberdingk Thijm Timothy1ORCID,Beckett Ryan2ORCID,Gupta Aarti1ORCID,Walker David1ORCID

Affiliation:

1. Princeton University, USA

2. Microsoft Research, USA

Abstract

Monolithic control plane verification cannot scale to hyperscale network architectures with tens of thousands of nodes, heterogeneous network policies and thousands of network changes a day. Instead, modular verification offers improved scalability, reasoning over diverse behaviors, and robustness following policy updates. We introduce Timepiece, a new modular control plane verification system. While one class of verifiers, starting with Minesweeper, were based on analysis of stable paths, we show that such models, when deployed naïvely for modular verification, are unsound. To rectify the situation, we adopt a routing model based around a logical notion of time and develop a sound, expressive, and scalable verification engine. Our system requires that a user specifies interfaces between module components. We develop methods for defining these interfaces using predicates inspired by temporal logic, and show how to use those interfaces to verify a range of network-wide properties such as reachability or access control. Verifying a prefix-filtering policy using a non-modular verification engine times out on an 80-node fattree network after 2 hours. However, Timepiece verifies a 2,000-node fattree in 2.37 minutes on a 96-core virtual machine. Modular verification of individual routers is embarrassingly parallel and completes in seconds, which allows verification to scale beyond non-modular engines, while still allowing the full power of SMT-based symbolic reasoning.

Funder

NSF

Publisher

Association for Computing Machinery (ACM)

Subject

Safety, Risk, Reliability and Quality,Software

Reference79 articles.

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2. Anubhavnidhi Abhashkumar , Kausik Subramanian , Alexey Andreyev , Hyojeong Kim , Nanda Kishore Salem , Jingyi Yang , Petr Lapukhov , Aditya Akella , and Hongyi Zeng . 2021 . Running BGP in Data Centers at Scale . In 18th USENIX Symposium on Networked Systems Design and Implementation (NSDI 21) . USENIX Association, USA. 65–81. isbn:978-1-939133-21-2 https://www.usenix.org/conference/nsdi21/presentation/abhashkumar Anubhavnidhi Abhashkumar, Kausik Subramanian, Alexey Andreyev, Hyojeong Kim, Nanda Kishore Salem, Jingyi Yang, Petr Lapukhov, Aditya Akella, and Hongyi Zeng. 2021. Running BGP in Data Centers at Scale. In 18th USENIX Symposium on Networked Systems Design and Implementation (NSDI 21). USENIX Association, USA. 65–81. isbn:978-1-939133-21-2 https://www.usenix.org/conference/nsdi21/presentation/abhashkumar

3. A scalable, commodity data center network architecture

4. Timothy Alberdingk Thijm and Ryan Beckett. 2023. Timepiece. https://github.com/alberdingk-thijm/Timepiece Timothy Alberdingk Thijm and Ryan Beckett. 2023. Timepiece. https://github.com/alberdingk-thijm/Timepiece

5. Timothy Alberdingk Thijm and Ryan Beckett. 2023. Timepiece. https://zenodo.org/record/7799158 Timothy Alberdingk Thijm and Ryan Beckett. 2023. Timepiece. https://zenodo.org/record/7799158

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