Time-Weighted Correlation Approach to Identify High Delay Links in Internet Service Providers
Francisco V. J. Nobre, Danielle S. Silva, Maria C. M. M. Ferreira, Maria L. Linhares, Thelmo de Araújo, Rafael L. Gomes
Abstract
Companies and Internet Service Providers (ISPs) apply monitoring tools over network infrastructure, encompassing regular performance evaluations, with a primary focus on delivering crucial information about the current state of the network infrastructure and, consequently, the services running on it. However, these monitoring tools require ongoing development to handle more complex tasks, such as detecting performance issues. Within this context, this article proposes a mechanism for identifying high delays and communication links in the network that may cause these performance issues, using a temporally formulated Impact Score. This Score is based on data correlation techniques applied to information collected by monitoring tools. Experiments conducted with real data from the RNP Network indicate the efficiency of the proposal in identifying links impacting data communication, resulting in high end-to-end delays.