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 as MTU 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.

Snoop Through Traffic Counters to Detect Black Holes in Segment Routing Networks / Polverini, M.; Cianfrani, A.; Listanti, M.. - 352:(2021), pp. 337-350. (Intervento presentato al convegno 15th EAI International Conference on Communications and Networking, ChinaCom 2020 tenutosi a Shanghai) [10.1007/978-3-030-67720-6_23].

Snoop Through Traffic Counters to Detect Black Holes in Segment Routing Networks

Polverini M.;Cianfrani A.;Listanti M.
2021

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 as MTU 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.
2021
15th EAI International Conference on Communications and Networking, ChinaCom 2020
black holes; interface counters; network failures; segment routing
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Snoop Through Traffic Counters to Detect Black Holes in Segment Routing Networks / Polverini, M.; Cianfrani, A.; Listanti, M.. - 352:(2021), pp. 337-350. (Intervento presentato al convegno 15th EAI International Conference on Communications and Networking, ChinaCom 2020 tenutosi a Shanghai) [10.1007/978-3-030-67720-6_23].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1695732
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