Cache "less for more" in information-centric networks (extended version)

By Wei Koong Chai, Diliang He, Ioannis Psaras, George Pavlou. Computer Communications, 2012

589 citations recorded by the source corpus.

Ubiquitous in-network caching is one of the key aspects of information-centric networking (ICN) which has recently received widespread research interest. In one of the key relevant proposals known as Networking Named Content (NNC), the premise is that leveraging in-network caching to store content in every node it traverses along the delivery path can enhance content delivery. We question such indiscriminate universal caching strategy and investigate whether caching less can actually achieve more . Specifically, we investigate if caching only in a subset of node(s) along the content delivery path can achieve better performance in terms of cache and server hit rates. In this paper, we first study the behavior of NNC's ubiquitous caching and observe that even naive random caching at one intermediate node within the delivery path can achieve similar and, under certain conditions, even better caching gain. We propose a centrality-based caching algorithm by exploiting the concept of (ego network) betweenness centrality to improve the caching gain and eliminate the uncertainty in the performance of the simplistic random caching strategy. Our results suggest that our solution can consistently achieve better gain across both synthetic and real network topologies that have different structural properties.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/6c5eb48845f992e13d6c40455f4fe713d8580b88

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In Computer Networks and Communications

Citations in the corpus

A Survey of Information-Centric Networking Research (2014, methodology): “As shown in [80], the content routers in NDN face serious scalability limitations at the inter-domain level, something that also applies to some extent to COMET, which also installs forwarding state at routers.”
The Internet of Things vision: Key features, applications and open issues (2014, background): “Therefore, the research on novel information-centric Internet architecture ([105–110]), protocols [111] and mechanisms ([112, 113]) is a relevant research area for the IoT community, as well.”
Computation Offloading and Resource Allocation in Wireless Cellular Networks With Mobile Edge Computing (2017, background): “The caching strategies proposed in [24] and [25] are based on where routers are located in the topology, while [26] designs the strategy according to the content popularity.”