A bloom-filter-based socially aware scheme for content replication in mobile ad hoc networks

Abstract : The volume of mobile multimedia traffic is fast-growing, challenging the radio and backhaul network infrastructure and calling for alternative content dissemination schemes. To improve user experience and reduce infrastructure load, we exploit implicit social relationships among users and take into account content popularity, proposing push-based prefetching mechanisms which take advantage of the caching and mobile ad hoc networking capabilities of user devices. We use Bloom Filters as summaries of user caches, and design mechanisms to estimate the social distance between users and the popularity of content items, which drive our algorithms. Our simulation-based evaluation shows that our scheme brings caching performance improvements in an order of 10% in terms of absolute cache hit ratio in most of the cases studied, and from 3% to 82% in terms of normalized cache hit ratio gain.
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Communication dans un congrès
13th Annual IEEE Consumer Communications & Networking, Jan 2016, Las Vegas, United States. 〈10.1109/CCNC.2016.7444807〉
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https://hal.inria.fr/hal-01252001
Contributeur : Yassine Hadjadj Aoul <>
Soumis le : jeudi 7 janvier 2016 - 10:08:07
Dernière modification le : jeudi 15 novembre 2018 - 11:57:44

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Ghada Moualla, Pantelis Frangoudis, Yassine Hadjadj-Aoul, Soraya Aït-Chellouche. A bloom-filter-based socially aware scheme for content replication in mobile ad hoc networks. 13th Annual IEEE Consumer Communications & Networking, Jan 2016, Las Vegas, United States. 〈10.1109/CCNC.2016.7444807〉. 〈hal-01252001〉

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