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Differentiated services in named-data networking

Authors: Yusung Kim 0001; Younghoon Kim; Ikjun Yeom;

Differentiated services in named-data networking

Abstract

Named Data Networking (NDN) is an emerging communication paradigm to resolve a traffic explosion problem due to repeated and duplicated delivery of large multimedia content. To make NDN being useful more widely, however, it should support various types of traffic and their Quality of Service (QoS) requirements. In this paper, we propose a differentiated services (diffserv) model for NDN. For scalability, the proposed diffserv model is designed to follow the guidelines from the IP diffserv model. Traffic classification and packet marking are performed at edge routers, and class based service differentiation is provided by core routers. The proposed model, at the same time, supports fascinating features of NDN for efficient content delivery such as interest aggregation and content caching. To demonstrate the proposed model more realistically, we implement and evaluate it on a CCNx testbed.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Average
Top 10%
Average
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