The Internet monitoring infrastructure provided publicly by RIPE NCC, RouteViews, and other organizations, is invaluable for network operators, who use it to monitor their Internet routes, detect routing events that affect their traffic, troubleshoot their networks, discover the topology and design their policies, etc.
However, it is well known that the current infrastructure is not uniformly deployed, and this may limit some measurement efforts (e.g., regions with poor coverage) or lead to biased findings (e.g,. over/under-estimate impact of a route event depending on location).
The goal of the AI4NetMon project is to study limitations and biases, and develop tools and strategies for improving the Internet monitoring infrastructure and practices, by addressing two key questions:
- where to deploy new infrastructure?
- how to unbias the measurement from existing infrastructure?