Article in Proceedings INPROC-2020-01

BibliographyAbdelaal, 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).
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
pp. 1-9, english.
Las Vegas, USA: IEEE, January 10, 2020.
Article in Proceedings (Conference Paper).
CR-SchemaC.2.2 (Network Protocols)
KeywordsNamed Data Networking; Forwarding Strategy; Caching Policy; Quality of Service

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.

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Department(s)University of Stuttgart, Institute of Parallel and Distributed Systems, Distributed Systems
Entry dateNovember 19, 2019
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