Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
451193 | Computer Networks | 2012 | 17 Pages |
Abstract
Network management systems produce a huge amount of data in large-scale networks. For example, the Spanish academic network features hundreds of access and backbone links, each of which produces a link utilization time series. For the purpose of detecting relevant changes in traffic load a visual inspection of all such time series is required. As a result, the operational expenditure increases. In this paper, we present an on-line change detection algorithm to identify the relevant change points in link utilization, which are presented to the network manager through a graphical user interface. Consequently, the network manager only inspects those links that show a stationary and statistically significant change in the link load.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Networks and Communications
Authors
Felipe Mata, José Luis García-Dorado, Javier Aracil,