Research Article
Snoop Through Traffic Counters to Detect Black Holes in Segment Routing Networks
@INPROCEEDINGS{10.1007/978-3-030-67720-6_23, author={Marco Polverini and Antonio Cianfrani and Marco Listanti}, title={Snoop Through Traffic Counters to Detect Black Holes in Segment Routing Networks}, proceedings={Communications and Networking. 15th EAI International Conference, ChinaCom 2020, Shanghai, China, November 20-21, 2020, Proceedings}, proceedings_a={CHINACOM}, year={2021}, month={2}, keywords={Segment routing Network failures Black holes Interface counters}, doi={10.1007/978-3-030-67720-6_23} }- Marco Polverini
Antonio Cianfrani
Marco Listanti
Year: 2021
Snoop Through Traffic Counters to Detect Black Holes in Segment Routing Networks
CHINACOM
Springer
DOI: 10.1007/978-3-030-67720-6_23
Abstract
The new Segment Routing paradigm provides network operator the possibility of highly increasing network performance exploiting advanced Traffic Engineering features and novel network programability functions. Anyway, as any new solutions, SRv6 has a side effect: the introduction of unknown service disruption events. In this work we focus on packet lost events due to the incorrect computation of the Maximum Transmission Unit (MTU) value of an end-to-end path in an SRv6 network. This event, referred to asMTU dependent SR Black Hole, cannot be detected by known monitoring solutions based on active probing: the reason is that in SRv6 probe packets and user data can experience different network behaviors. In this work we propose a passive monitoring solution able to exploit the SRv6 Traffic Counters to detect links where packets are lost due to MTU issues. The performance evaluation shows that the algorithm proposed is able to identify the link affected by the blackhole with a precision equal to(100\%); moreover, the flow causing the blackhole cannot be detected with the same precision, but it is possible to identify a restricted set of flows, referred to as suspected flows, containing the target one.
