Traffic monitoring is essential to manage large networks and validate Service Level Agreements. Passive monitoring is particularly valuable to promptly identify transient fault episodes and react in a timely manner. This paper proposes a novel, non-invasive and flexible method to passively monitor large backbone networks. By using only packet counters, commonly available on existing hardware, we can accurately measure packet losses, in different segments of the network, affecting only specific flows. We can monitor not only end-to-end flows, but any generic flow with packets following several different paths in the network (multipoint flows). We also sketch a possible extension of the method to measure average one-way delay for multipoint flows, provided that the measurement points are synchronized. Through various experiments we show that the method is effective and enables easy zooming in on the cause packet losses. Moreover, the method can scale to very large networks with a very low overhead on the data plane and the management plane.

Multipoint passive monitoring in packet networks / Cociglio, Mauro; Fioccola, Giuseppe; Marchetto, Guido; Sapio, Amedeo; Sisto, Riccardo. - In: IEEE-ACM TRANSACTIONS ON NETWORKING. - ISSN 1063-6692. - 27:6(2019), pp. 2377-2390. [10.1109/TNET.2019.2950157]

Multipoint passive monitoring in packet networks

Guido Marchetto;Amedeo Sapio;Riccardo Sisto
2019

Abstract

Traffic monitoring is essential to manage large networks and validate Service Level Agreements. Passive monitoring is particularly valuable to promptly identify transient fault episodes and react in a timely manner. This paper proposes a novel, non-invasive and flexible method to passively monitor large backbone networks. By using only packet counters, commonly available on existing hardware, we can accurately measure packet losses, in different segments of the network, affecting only specific flows. We can monitor not only end-to-end flows, but any generic flow with packets following several different paths in the network (multipoint flows). We also sketch a possible extension of the method to measure average one-way delay for multipoint flows, provided that the measurement points are synchronized. Through various experiments we show that the method is effective and enables easy zooming in on the cause packet losses. Moreover, the method can scale to very large networks with a very low overhead on the data plane and the management plane.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2765734