Caracterização de Interrupções na Internet usando RIPE Atlas
Abstract
Detection and classification of Internet interruptions is a widely studied topic. However, although there are several techniques and studies for detecting interruptions, this is not done with a focus on the interruptions to the end user. This paper presents a systematic evaluation of Internet interruptions from historical data of an Internet monitoring system, called RIPE Atlas. The results show that the geoeconomic parameters used in this research have little correlation with the amount of interruptions in the Internet. However, we observe that there are differences in the duration and frequency of interruptions with the location of the devices. We show that a simple interruption model can be used to identify network problems, as in the case of Hurricane Harvey. We identified a 10% increase in the number of interruptions and 44% in interruption time in Houston (Texas) during the hurricane. The results can be used in the future as a substrate for the development of new interrupt predictors.
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