A community-based peer-to-peer model based on social networks
Improving search performance is an important issue in peer-to-peer (P2P) network systems. The structure of underlying models has a direct effect on the performance of the search algorithms. In unstructured system like Gnutella query flooding algorithm suffers from poor scalability and considera...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
2008
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| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/12661/1/A%20community.pdf |
| _version_ | 1796968273581965312 |
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| author | Modarresi, Amir Mamat, Ali Ibrahim, Hamidah Mustapha, Norwati |
| author_facet | Modarresi, Amir Mamat, Ali Ibrahim, Hamidah Mustapha, Norwati |
| author_sort | Modarresi, Amir |
| collection | UPM |
| description | Improving search performance is an important issue in
peer-to-peer (P2P) network systems. The structure of
underlying models has a direct effect on the performance
of the search algorithms. In unstructured system like
Gnutella query flooding algorithm suffers from poor
scalability and considerable network overhead. In
structured systems, algorithms like CAN and CHORD
provide better performance, but they need more
administrative tasks and have limited functionality in
search. Our proposed model is a semi-structured, based
on social networks which uses flooding algorithm for
searching. Nodes in the model are grouped into several
communities and sub communities with similar interests
which provide lower distance and better locality in
search. A simulation of the model shows lower path and
better clustering than a random network. |
| first_indexed | 2024-03-06T07:26:02Z |
| format | Article |
| id | upm.eprints-12661 |
| institution | Universiti Putra Malaysia |
| language | English English |
| last_indexed | 2024-03-06T07:26:02Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | upm.eprints-126612015-10-23T07:00:07Z http://psasir.upm.edu.my/id/eprint/12661/ A community-based peer-to-peer model based on social networks Modarresi, Amir Mamat, Ali Ibrahim, Hamidah Mustapha, Norwati Improving search performance is an important issue in peer-to-peer (P2P) network systems. The structure of underlying models has a direct effect on the performance of the search algorithms. In unstructured system like Gnutella query flooding algorithm suffers from poor scalability and considerable network overhead. In structured systems, algorithms like CAN and CHORD provide better performance, but they need more administrative tasks and have limited functionality in search. Our proposed model is a semi-structured, based on social networks which uses flooding algorithm for searching. Nodes in the model are grouped into several communities and sub communities with similar interests which provide lower distance and better locality in search. A simulation of the model shows lower path and better clustering than a random network. 2008-04 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/12661/1/A%20community.pdf Modarresi, Amir and Mamat, Ali and Ibrahim, Hamidah and Mustapha, Norwati (2008) A community-based peer-to-peer model based on social networks. International Journal of Computer Science and Network Security, 8 (4). pp. 272-277. ISSN 1738-7906 Peer-to-peer architecture (Computer networks). English |
| spellingShingle | Peer-to-peer architecture (Computer networks). Modarresi, Amir Mamat, Ali Ibrahim, Hamidah Mustapha, Norwati A community-based peer-to-peer model based on social networks |
| title | A community-based peer-to-peer model based on social networks |
| title_full | A community-based peer-to-peer model based on social networks |
| title_fullStr | A community-based peer-to-peer model based on social networks |
| title_full_unstemmed | A community-based peer-to-peer model based on social networks |
| title_short | A community-based peer-to-peer model based on social networks |
| title_sort | community based peer to peer model based on social networks |
| topic | Peer-to-peer architecture (Computer networks). |
| url | http://psasir.upm.edu.my/id/eprint/12661/1/A%20community.pdf |
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