Network monitoring as a streaming analytics problem

Arpit Gupta, Rüdiger Birkner, Marco Canini, Nick Feamster, Chris Mac-Stoker, Walter Willinger

Research output: Chapter in Book/Report/Conference proceedingConference contribution

25 Scopus citations

Abstract

Programmable switches make it easier to perform flexible network monitoring queries at line rate, and scalable stream processors make it possible to fuse data streams to answer more sophisticated queries about the network in real-time. Unfortunately, processing such network monitoring queries at high traffic rates requires both the switches and the stream processors to filter the traffic iteratively and adaptively so as to extract only that traffic that is of interest to the query at hand. Others have network monitoring in the context of streaming; yet, previous work has not closed the loop in a way that allows network operators to perform streaming analytics for network monitoring applications at scale. To achieve this objective, Sonata allows operators to express a network monitoring query by considering each packet as a tuple and efficiently partitioning each query between the switches and the stream processor through iterative refinement. Sonata extracts only the traffic that pertains to each query, ensuring that the stream processor can scale traffic rates of several terabits per second. We show with a simple example query involving DNS reflection attacks and traffic traces from one of the world's largest IXPs that Sonata can capture 95% of all traffic pertaining to the query, while reducing the overall data rate by a factor of about 400 and the number of required counters by four orders of magnitude.

Original languageEnglish (US)
Title of host publicationHotNets 2016 - Proceedings of the 15th ACM Workshop on Hot Topics in Networks
PublisherAssociation for Computing Machinery, Inc
Pages106-112
Number of pages7
ISBN (Electronic)9781450346610
DOIs
StatePublished - Nov 9 2016
Event15th ACM Workshop on Hot Topics in Networks, HotNets 2016 - Atlanta, United States
Duration: Nov 9 2016Nov 10 2016

Publication series

NameHotNets 2016 - Proceedings of the 15th ACM Workshop on Hot Topics in Networks

Other

Other15th ACM Workshop on Hot Topics in Networks, HotNets 2016
CountryUnited States
CityAtlanta
Period11/9/1611/10/16

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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  • Cite this

    Gupta, A., Birkner, R., Canini, M., Feamster, N., Mac-Stoker, C., & Willinger, W. (2016). Network monitoring as a streaming analytics problem. In HotNets 2016 - Proceedings of the 15th ACM Workshop on Hot Topics in Networks (pp. 106-112). (HotNets 2016 - Proceedings of the 15th ACM Workshop on Hot Topics in Networks). Association for Computing Machinery, Inc. https://doi.org/10.1145/3005745.3005748