Network Events in a Large Commercial Network: What can we learn?

Messager, Antoine, Parisis, George, Harper, Robert, Tee, Philip, Kiss, István Z and Berthouze, Luc (2018) Network Events in a Large Commercial Network: What can we learn? Published in: NOMS 2018 - IEEE/IFIP AnNet. (Accepted)

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ISP and commercial networks are complex and thus difficult to characterise and manage. Network operators rely on a continuous flow of event log messages to identify and handle service outages. However, there is little published information about such events and how they are typically exploited. In this paper, we describe in as much detail as possible the event logs and network topology of a major commercial network. Through analysing the network topology, textual information of events and time of events, we highlight opportunities and challenges brought by such data. In particular, we suggest that the development of methods for inferring functional connectivity could unlock more of the informational value of event log messages and assist network management operators.

Item Type: Conference Proceedings
Keywords: Event, log and and big data analytics; Anomaly detection and prediction; Mining spatiotemporal and time series data; Computer Networks; Clouds and data centers
Schools and Departments: School of Engineering and Informatics > Informatics
School of Mathematical and Physical Sciences > Mathematics
Subjects: Q Science > QA Mathematics > QA0075 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication Including telegraphy, telephone, radio, radar, television > TK5105.5 Computer networks. General works
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Depositing User: Luc Berthouze
Date Deposited: 12 Mar 2018 09:11
Last Modified: 12 Mar 2018 09:14

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A fast method for calculating the proximity matrix in a large-scale dynamic networkG1742MOOGSOFT INCAgreement dated 17 December 2014