A Comparison of Caching Strategies for Content Centric Networking

César Bernardini 1 Thomas Silverston 2 Olivier Festor 2
1 MADYNES - Management of dynamic networks and services
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
2 MADYNES - Management of dynamic networks and services
Inria Nancy - Grand Est, LORIA - NSS - Department of Networks, Systems and Services
Abstract : Content Centric Networking (CCN) is a new architecture for a future Internet. CCN relies on in-network caching capabilities of nodes and the efficiency of this architecture depends drastically on performances of caching strategies. Thus, there have been a lot of studies proposing new caching strategies to improve the performances of CCN. However, among all these strategies, it is still unclear which one performs better as there is a lack of common environment to compare these strategies. In this paper, we compare the performances of CCN caching strategies within the same simulation environment. We build a common evaluation scenario and we compare via simulation five relevant caching strategies: Leave Copy Everywhere (LCE), Leave Copy Down (LCD), ProbCache, Cache " Less " For More and MAGIC. We analyze the performances of all the strategies in terms of Cache Hit, Stretch, Diversity and Complexity, and determine the cache strategy that fits the best with every scenario.
Document type :
Conference papers
Complete list of metadatas

Cited literature [17 references]  Display  Hide  Download

https://hal.inria.fr/hal-01251968
Contributor : Thomas Silverston <>
Submitted on : Thursday, January 7, 2016 - 9:23:46 AM
Last modification on : Thursday, February 7, 2019 - 5:34:47 PM
Long-term archiving on : Friday, April 8, 2016 - 1:10:23 PM

File

main.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01251968, version 1

Collections

Citation

César Bernardini, Thomas Silverston, Olivier Festor. A Comparison of Caching Strategies for Content Centric Networking. IEEE Global Communication Conference, Dec 2015, San Diego, United States. ⟨hal-01251968⟩

Share

Metrics

Record views

467

Files downloads

1213