Title :
A social network Peer-to-Peer model for peer clustering
Author :
Modarresi, Amir ; Mamat, Ali ; Ibrahim, Hamidah ; Mustapha, Norwati
Author_Institution :
Fac. of Comput. Sci. & Inf. Technol., Univ. Putra Malaysia, Serdang
Abstract :
Peer clustering is a way for managing the structure of Peer-to-Peer (P2P) networks. It can be done on physical structure of the network like physical proximity of peers or semantic relationship among them. Our proposed model uses social network concepts as the main physical structure for clustering peers. Nodes in the model are grouped into several communities and sub communities with similar interests. The order and relation among communities are defined and controlled by a shared ontology. This structure provides lower distance and better locality in search. A simulation of the model shows lower path and better clustering than a random network.
Keywords :
graph theory; network theory (graphs); ontologies (artificial intelligence); pattern clustering; peer-to-peer computing; search problems; graph theory; peer clustering; search problem; semantic relationship; shared ontology; social network peer-to-peer network management;
Conference_Titel :
Information Technology, 2008. ITSim 2008. International Symposium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-2327-9
Electronic_ISBN :
978-1-4244-2328-6
DOI :
10.1109/ITSIM.2008.4631989