| HAL-Inria | Publications, software ... of Inria's scientists |
Conference papers
A versatile Markov chain model for the performance analysis of CCN caching systems
Abstract : Beyond Content Delivery Networks (CDNs), Network Operators (NOs) are developing caching capabilities within their own network infrastructure, in order to face the rise in data consumption and to avoid the potential congestion at peering links. These factors explain the enthusiasm of industry and academics around the Content-Centric Networking (CCN) concept and its in-network caching feature. Many contributions focused these last years on improving the caching performance of CCN. In this paper, we propose a very versatile model capable of modeling the most efficient caching strategies. We first start by representing a single generic cache node. We then extend our model for the case of a network of caches. The obtained results are used to derive, in particular, the cache hit probability of a content in such caching systems. Using a discrete event simulator, we show the accuracy of the proposed model under different network configurations.
Cited literature [20 references]
https://hal.inria.fr/hal-01934056
Contributor : Yassine Hadjadj Aoul Connect in order to contact the contributor
Submitted on : Sunday, November 25, 2018 - 7:32:07 AM
Last modification on : Monday, April 4, 2022 - 9:28:23 AM
Long-term archiving on: : Tuesday, February 26, 2019 - 12:24:57 PM
Contributor : Yassine Hadjadj Aoul Connect in order to contact the contributor
Submitted on : Sunday, November 25, 2018 - 7:32:07 AM
Last modification on : Monday, April 4, 2022 - 9:28:23 AM
Long-term archiving on: : Tuesday, February 26, 2019 - 12:24:57 PM
File
main.pdf
Files produced by the author(s)