Purdue Federal Credit Union
Accurate online network monitoring is crucial for detecting attacks, faults, and anomalies, and determining traffic properties across the network. With high bandwidth links and consequently increasing traffic volumes, it is difficult to collect and analyze detailed flow records in an online manner. Traditional solutions that decouple data collection from analysis resort to sampling and sketching to handle large monitoring traffic volumes. The authors propose a new system, Pegasus, to leverage commercially available co-located compute and storage devices near routers and switches. Pegasus adaptively manages data transfers between monitors and aggregators based on traffic patterns and user queries.