http://www.cnr.it/ontology/cnr/individuo/prodotto/ID204354
GROUP: A Gossip Based Building Community Protocol (Contributo in atti di convegno)
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- GROUP: A Gossip Based Building Community Protocol (Contributo in atti di convegno) (literal)
- Anno
- 2011-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1007/978-3-642-22875-9_45 (literal)
- Alternative label
Mordacchini M., Baraglia R., Dazzi P., Ricci L., Alessi L. (2011)
GROUP: A Gossip Based Building Community Protocol
in Smart Spaces and Next Generation Wired/Wireless Networking. 11th International Conference and 4th Conference on Smart Spaces, NEW2AN 2011 - ruSMART 2011, St. Petersburg, Russia, 23-25 Aug, 2011
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Mordacchini M., Baraglia R., Dazzi P., Ricci L., Alessi L. (literal)
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- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
- ID Modulo Commessa INT.P01.001.002 - 044 - Ubiquitous Internet (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://www.springerlink.com/content/e4725g32q5661486/ (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- CNR-IIT, Pisa, Italy; CNR-ISTI, Pisa, Italy; Department of Computer Science, University of Pisa, Italy (literal)
- Titolo
- GROUP: A Gossip Based Building Community Protocol (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-3-642-22874-2 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
- Balandin Sergey, Koucheryavy Yevgeni, Hu Honglin (literal)
- Abstract
- The detection of communities of peers characterized by similar interests is currently a challenging research area. To ease the diffusion of relevant data to interested peers, similarity based overlays define links between similar peers by exploiting a similarity function. However, existing solutions neither give a clear definition of peer communities nor define a clear strategy to partition the peers into communities. As a consequence, the spread of the information cannot be confined within a well defined region of an overlay. This paper proposes a distributed protocol for the detection of communities in a P2P network. Our approach is based on the definition of a distributed voting algorithm where each peer chooses the more similar peers among those in a limited neighbourhood range. The identifier of the most representative peer is exploited to identify a community. The paper shows the effectiveness of our approach by presenting a set of experimental results. (literal)
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