Artikel in Tagungsband INPROC-2020-01

Bibliograph.
Daten
Abdelaal, Mohamed; Karadeniz, Mustafa; Duerr, Frank; Rothermel, Kurt: liteNDN: QoS-Aware Packet Forwarding and Caching for Named Data Networks.
In: Proceedings of the IEEE Consumer Communications and Networking Conference (CCNC).
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik.
S. 1-9, englisch.
Las Vegas, USA: IEEE, 10. Januar 2020.
Artikel in Tagungsband (Konferenz-Beitrag).
CR-Klassif.C.2.2 (Network Protocols)
KeywordsNamed Data Networking; Forwarding Strategy; Caching Policy; Quality of Service
Kurzfassung

Recently, named data networking (NDN) has been introduced to connect the world of computing devices via naming data instead of their containers. Through this strategic change, NDN brings several new features to network communication, including in-network caching, multipath forwarding, built-in multicast, and data security. Despite these unique features of NDN networking, there exist plenty of opportunities for continuing developments, especially with packet forwarding and caching. In this context, we introduce liteNDN, a novel forwarding and caching strategy for NDN networks. liteNDN comprises a cooperative forwarding strategy through which NDN routers share their knowledge, i.e. data names and interfaces, to optimize their packet forwarding decisions. Subsequently, liteNDN leverages that knowledge to estimate the probability of each downstream path to swiftly retrieve the requested data. Additionally, liteNDN exploits heuristics, such as routing costs and data significance, to make proper decisions about caching normal as well as segmented packets. The proposed approach has been extensively evaluated in terms of the data retrieval latency, network utilization, and the cache hit rate. The results showed that liteNDN, compared to conventional NDN forwarding and caching strategies, achieves much less latency while reducing the unnecessary traffic and caching activities.

Volltext und
andere Links
PDF (1041001 Bytes)
CopyrightŠIEEE 2020. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Abteilung(en)Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Verteilte Systeme
Projekt(e)iEnergy
Eingabedatum19. November 2019
   Publ. Institut   Publ. Informatik