An architecture for cache consistency support in information centric networking
2013 IEEE Global Communications Conference (GLOBECOM), 2013•ieeexplore.ieee.org
Information centric networking is proposed to deal with the inefficiency of content
distributions in traditional networks. It replaces the current host-centric communication
paradigm with the content-centric one, so all the network devices can identify and cache the
contents passed by. Traditional cache consistency approaches which rely on the origin
server to validate cached contents will not be practical in ICN. The origin server might be
overwhelmed by the large volume of validation requests from ubiquitous caches. In this …
distributions in traditional networks. It replaces the current host-centric communication
paradigm with the content-centric one, so all the network devices can identify and cache the
contents passed by. Traditional cache consistency approaches which rely on the origin
server to validate cached contents will not be practical in ICN. The origin server might be
overwhelmed by the large volume of validation requests from ubiquitous caches. In this …
Information centric networking is proposed to deal with the inefficiency of content distributions in traditional networks. It replaces the current host-centric communication paradigm with the content-centric one, so all the network devices can identify and cache the contents passed by. Traditional cache consistency approaches which rely on the origin server to validate cached contents will not be practical in ICN. The origin server might be overwhelmed by the large volume of validation requests from ubiquitous caches. In this paper, we propose a cache consistency architecture named Content Update Validation System (CUVS). It makes use of the servers located in each domain to provide the content validation service. It relieves the origin server and the routing protocols from caring about the cache consistency issue. The system is designed as a hierarchical overlay network in ICN, so it is easy to deploy and scales well.
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