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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.
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https://hal.inria.fr/hal-01934056
Contributor : Yassine Hadjadj Aoul <>
Submitted on : Sunday, November 25, 2018 - 7:32:07 AM
Last modification on : Thursday, February 25, 2021 - 5:30:02 PM
Long-term archiving on: : Tuesday, February 26, 2019 - 12:24:57 PM

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  • HAL Id : hal-01934056, version 1

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Hamza Ben-Ammar, Yassine Hadjadj-Aoul, Gerardo Rubino, Soraya Aït-Chellouche. A versatile Markov chain model for the performance analysis of CCN caching systems. Globecom 2018 - IEEE Global Communications Conference, Dec 2018, Abu Dhabi, United Arab Emirates. pp.1-6. ⟨hal-01934056⟩

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