Angelos Dimoglis

dblp:387/5556 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2024
0009-0009-1131-4586ORCID · reported

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

Computer networks · 1 · 1 first-author · 1 since 2021

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 · 56% Software-defined and programmable networks · 44%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network measurement and analytics › network telemetry
in-band network telemetry
0.812024
Lightweight INT on the Tofino programmable switch · MobiCom 2024
Software-defined and programmable networks
programmable data plane
0.812024
Lightweight INT on the Tofino programmable switch · MobiCom 2024
Network measurement and analytics › active measurement
path tracing
0.212024
Lightweight INT on the Tofino programmable switch · MobiCom 2024
YearPublicationVenuePosition
2024 Lightweight INT on the Tofino programmable switch
abstract
In-band network telemetry (INT), enabled by programmable data planes and the appearance of programming protocol-independent languages such as P4, emerged as a viable approach for network monitoring. INT allows the collection of fine-grained network information in real-time, increasing network visibility, at the cost of network overhead. Several lightweight INT approaches have been recently proposed that attempt to alleviate the transmission overhead of INT, while maintaining a high degree of monitoring accuracy. However, their impact on the resources of the respective hardware network devices has been hardly investigated as most of the approaches are evaluated via simulation. In this study, we provide proof of concept implementations of two lightweight INT approaches that have been proposed for path tracing on the Intel Tofino ASIC, identifying the challenges of porting the solution to the selected target. We examine their performance, providing an in-depth analysis of resource consumption.
Angelos Dimoglis, Leandro C. de Almeida, Konstantinos Papadopoulos 0005, Chrysa Papagianni, Panagiotis Papadimitriou 0001, Paola Grosso
MobiCom1