A robust, adaptive and hierarchical knowledge dissemination architecture

S. Souihi 1 J. Perez 2 S. Hoceini 1 A. Mellouk 1
1 CIR
LISSI - Laboratoire Images, Signaux et Systèmes Intelligents
Abstract : A main objective of an Information Centric Network (ICN) is to improve the network by placing the knowledge in center of the network design. This vision of the network needs an efficient distributed and decentralized knowledge plane. So, an important amount of knowledge should be disseminated over the supervised network, which remains an open problem. Indeed, the dissemination infrastructure must be able to ensure the transport of all information types including knowledge information, throughout the network, and guarantee its freshness. Another crucial aspect of the problem is related to the network robustness with respect to network failures. In this paper, we propose a new model of knowledge dissemination based on super peers architecture. We formalize the super peer selection problem as a K-medoids clustering task. Furthermore, to handle the dynamicity of the network and especially the changes of the end-user network topology, we improved the selection mechanism by adding an adaptive mechanism based on the Page-Hinkley statistical test. Experimental results show that the proposed approach significantly improves performances compared to other current approaches.
Type de document :
Communication dans un congrès
Proc. Of the IEEE International Conference on Global Communications, GlobeCom 2013, 2013, Atlanta, United States. pp.1-6, 2013
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Contributeur : Lab Lissi <>
Soumis le : vendredi 5 janvier 2018 - 17:44:41
Dernière modification le : mercredi 20 février 2019 - 15:21:16

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  • HAL Id : hal-01676591, version 1

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S. Souihi, J. Perez, S. Hoceini, A. Mellouk. A robust, adaptive and hierarchical knowledge dissemination architecture. Proc. Of the IEEE International Conference on Global Communications, GlobeCom 2013, 2013, Atlanta, United States. pp.1-6, 2013. 〈hal-01676591〉

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