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Dynamic, Fine-Grained Data Plane Monitoring with Monocle
KTH, School of Electrical Engineering and Computer Science (EECS), Communication Systems, CoS, Network Systems Laboratory (NS Lab).ORCID iD: 0000-0002-1256-1070
2018 (English)In: IEEE/ACM Transactions on Networking, ISSN 1063-6692, E-ISSN 1558-2566, Vol. 26, no 1, p. 534-547Article in journal (Refereed) Published
Abstract [en]

Ensuring network reliability is important for satisfying service-level objectives. However, diagnosing network anomalies in a timely fashion is difficult due to the complex nature of network configurations. We present Monocle — a system that uncovers forwarding problems due to hardware or software failures in switches, by verifying that the data plane corresponds to the view that an SDN controller installs via the control plane. Monocle works by systematically probing the switch data plane; the probes are constructed by formulating the switch forwarding table logic as a Boolean satisfiability (SAT) problem. Our SAT formulation quickly generates probe packets targeting a particular rule considering both existing and new rules. Monocle can monitor not only static flow tables (as is currently typically the case), but also dynamic networks with frequent flow table changes. Our evaluation shows that Monocle is capable of fine-grained monitoring for the majority of rules, and it can identify a rule suddenly missing from the data plane or misbehaving in a matter of seconds. In fact, during our evaluation Monocle uncovered problems with two hardware switches that we were using in our evaluation. Finally, during network updates Monocle helps controllers cope with switches that exhibit transient inconsistencies between their control and data plane states.

Place, publisher, year, edition, pages
2018. Vol. 26, no 1, p. 534-547
Keywords [en]
Software-Defined Networking, Monitoring, Reliability
National Category
Computer Sciences Communication Systems
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-223564DOI: 10.1109/TNET.2018.2793765ISI: 000425324000039Scopus ID: 2-s2.0-85041692715OAI: oai:DiVA.org:kth-223564DiVA, id: diva2:1184865
Projects
Time-Critical Clouds
Note

QC 20180223

Available from: 2018-02-22 Created: 2018-02-22 Last updated: 2018-03-13Bibliographically approved

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