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Monitoring Networks with Insightful Queries

Published: 21 September 2020 Publication History

Abstract

Monitoring networks requires efficiently detecting abnormal events and summarizing connection information in big volumes of packet-level data. Some of these tasks can be accomplished with network and operating system utilities, but questions should be relatively simple and data pre-processing should be kept at a minimum. Another requirement is to be able to process data, both in a centralized and decentralized manner given the dynamic nature of TCP-IP packet flow. On the other hand, database systems can answer complex questions phrased as queries, provided data is in the right format and is quickly loaded. Having such motivation in mind, we propose to monitor a network with queries, running on a traditional DBMS (i.e. not a custom-built system programmed in C or C++). Thus, queries can be processed in a central manner in a traditional database server or in a distributed fashion with edge computing. A brief experimental evaluation shows queries can indeed be used to monitor the network with low latency and reasonable delay.

References

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Divesh Srivastava Simon Urbanek Carlos Ordonez, Theodore Johnson. 2017. A Tool for Statistical Analysis on Network Big Data. IEEE, Lyon, France, 32--36. https://doi.org/10.1109/DEXA.2017.23
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Arpit Gupta, Rüdiger Birkner, Marco Canini, Nick Feamster, Chris Mac-Stoker, and Walter Willinger. 2016. Network monitoring as a streaming analytics problem. In Proceedings of the 15th ACM Workshop on Hot Topics in Networks. 106--112.
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David Johnson, Tim Stack, Russ Fish, Daniel Montrallo Flickinger, Leigh Stoller, Robert Ricci, and Jay Lepreau. 2006. Mobile emulab: A robotic wireless and sensor network testbed. In Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications. IEEE, 1--12.
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Yifei Yuan, Dong Lin, Ankit Mishra, Sajal Marwaha, Rajeev Alur, and Boon Thau Loo. 2017. Quantitative network monitoring with NetQRE. In Proceedings of the Conference of the ACM Special Interest Group on Data Communication. 99--112.

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  • (2020)Monitoring Networks with Queries Evaluated by Edge Computing2020 IEEE International Conference on Big Data (Big Data)10.1109/BigData50022.2020.9377998(2223-2231)Online publication date: 10-Dec-2020

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Published In

cover image ACM Conferences
WiNTECH '20: Proceedings of the 14th International Workshop on Wireless Network Testbeds, Experimental evaluation & Characterization
September 2020
135 pages
ISBN:9781450380829
DOI:10.1145/3411276
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 September 2020

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  • (2020)Monitoring Networks with Queries Evaluated by Edge Computing2020 IEEE International Conference on Big Data (Big Data)10.1109/BigData50022.2020.9377998(2223-2231)Online publication date: 10-Dec-2020

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