LANTERN: Layered Adaptive Network Telemetry Collection for Programmable Dataplanes
Kaiyu Hou, Dhiraj Saharia, Vinod Yegneswaran, Phillip A. Porras · 2023
Managing next-generation enterprise networks requires collecting and analyzing enormous volumes (tens of Tbps) of network traffic data in real time to detect potential anomalies, classify attacks, identify root causes, and rapidly deploy effective mitigations. Conducting robust and scalable analysis on such traffic volumes is a daunting ''haystack'' problem that demands intelligent strategies to winnow traffic to extract and pinpoint ''needles'' of interest. Recent advances in software-defined networking and programmable dataplanes, that enable dynamic reconfiguration of switching hardware to adapt to changing traffic conditions, provide a foundational building block. However, they lack the resources and programming primitives for complex computational models.