A self-organized system improving inner topology for data sharing efficiency

Frédéric Armetta 1 Mohammed Haddad 2 Salima Hassas 1 Hamamache Kheddouci 2
1 SMA - Systèmes Multi-Agents
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
2 GOAL - Graphes, AlgOrithmes et AppLications
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : In this paper, we propose a promising self-organizing ant inspired approach applied to unstructured peer-to-peer networks. We show how the process of information search builds an inner topology deeply correlated to the network topology. Consequently, the efficiency of search algorithms is considerably enhanced, particularly for rare data. Our approach improves existing ones related to scale-free overlay topologies by introducing mechanisms that take into account the utility of information that is carried by peers. We show how ant inspired algorithms can induce well adapted scale-free-like topologies for search in unstructured peer-to-peer network.
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Journal articles
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https://hal.archives-ouvertes.fr/hal-01267713
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Submitted on : Thursday, February 4, 2016 - 5:53:04 PM
Last modification on : Wednesday, November 20, 2019 - 2:56:55 AM

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Frédéric Armetta, Mohammed Haddad, Salima Hassas, Hamamache Kheddouci. A self-organized system improving inner topology for data sharing efficiency. Evolving Systems, 2014, 5, pp.109-119. ⟨10.1007/s12530-013-9087-4⟩. ⟨hal-01267713⟩

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