[go: up one dir, main page]

KIT | KIT-Bibliothek | Impressum | Datenschutz

KeLLy – Efficient, Scalable Link Layer Topology Discovery

Seehofer, Paul ORCID iD icon 1; Bless, Roland ORCID iD icon 1; Zitterbart, Martina 1
1 Institut für Telematik (TM), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):
Network infrastructures are becoming increasingly flexible and dynamic not only due to softwarization and virtualization, but also due to increasing mobility in 5G and 6G networks, which consider drones and satellites to be part of the core infrastructure. Since the network topology may change frequently, it becomes challenging to get an up-to-date view of its current state. This paper introduces KeLLy, an efficient, scalable link layer topology discovery algorithm focussing on large-scale networks (evaluated up to 100,000 nodes). KeLLy discovers various large topologies in seconds, guarantees discovery of all nodes (and a high percentage of links), while inducing low, predictable overhead by querying only a subset (4%) of nodes.


Postprint KITopen-Lizenz" data-placement="top" data-original-title="Lizenzinformation" style="z-index:10;float:right;padding-right:5px;cursor:help"> §
DOI: 10.5445/IR/1000159179
Veröffentlicht am 12.06.2023
Originalveröffentlichung
DOI: 10.1109/NOMS56928.2023.10154355
Scopus
Zitationen: 1
Dimensions
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Telematik (TM)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2023
Sprache Englisch
Identifikator ISBN: 978-1-66547-716-1
ISSN: 2374-9709, 1542-1201
KITopen-ID: 1000159179
Erschienen in NOMS 2023 IEEE/IFIP Network Operations and Management Symposium
Veranstaltung 36th IEEE/IFIP Network Operations and Management Symposium (2023), Miami, FL, USA, 08.05.2023 – 12.05.2023
Verlag Institute of Electrical and Electronics Engineers (IEEE)
Serie IEEE/IFIP Network Operations and Management Symposium
Projektinformation Open 6G Hub (BMBF, 16KISK010)
Vorab online veröffentlicht am 02.06.2023
Schlagwörter topology discovery, network management, autonomic networks
Nachgewiesen in Scopus
Dimensions
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page