Monitoring Flows with Per-Application Granularity using Programmable Data Planes

The accurate and timely knowledge of a network’s internal state is essential for various network management operations like routing, resource allocation, or even intrusion detection. This especially holds true for highly flexible, programmable networks that quickly react to dynamic conditions. However, current approaches of state monitoring in such networks rely on per-rule counter information. Du...