Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data.

Mauro Cociglio

dblp:213/5198 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 2019
0000-0001-8750-4487ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Network measurement and analytics · 91% Network management and operations · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network measurement and analytics
latency measurement
0.412019
Multipoint Passive Monitoring in Packet Networks · IEEE/ACM Trans. Netw. 2019
Network measurement and analytics › network performance measurement
packet loss measurement
0.412019
Multipoint Passive Monitoring in Packet Networks · IEEE/ACM Trans. Netw. 2019
Network measurement and analytics
passive measurement
0.412019
Multipoint Passive Monitoring in Packet Networks · IEEE/ACM Trans. Netw. 2019
Network management and operations › fault management
fault diagnosis
0.112019
Multipoint Passive Monitoring in Packet Networks · IEEE/ACM Trans. Netw. 2019

Methods — techniques the papers use, named apart from their topics

packet counters · 0.4
YearPublicationVenuePosition
2019 Multipoint Passive Monitoring in Packet Networks
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 article 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 of packet losses. Moreover, the method can scale to very large networks with a very low overhead on the data plane and the management plane.
Mauro Cociglio, Giuseppe Fioccola, Guido Marchetto, Amedeo Sapio, Riccardo Sisto
IEEE/ACM Trans. Netw.1