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Node clustering based on link delay in P2P networks
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Proceedings of the 2005 ACM symposium on Applied computing table of contents
Santa Fe, New Mexico
SESSION: Distributed systems and grid computing (DSGC) table of contents
Pages: 744 - 749  
Year of Publication: 2005
ISBN:1-58113-964-0
Authors
Wei Zheng  Dartmouth College, NH
Sheng Zhang  Dartmouth College, NH
Yi Ouyang  Dartmouth College, NH
Fillia Makedon  Dartmouth College, NH
James Ford  Dartmouth College, NH
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

Peer-to-peer (P2P) has become an important computing model because of its adaptation, self-organization and autonomy etc. But efficient organization of the nodes in P2P networks is still a challenge needs to be addressed. Node clustering is a mechanism that aims to provide an optimal infrastructure to organize the nodes in a P2P network. This paper describes an approach to implement node clustering based on link delay of node communications in the P2P network. This approach is completely distributed, in which each node only depends on its neighbors to implement node clustering. In this approach, we propose two distributed algorithms: T-closure algorithm and hierarchical node clustering algorithm to find node clusters automatically in a P2P network. We explore the node connectivity together with the connection quality. As a result, the link delay of communication between the super-node and the peer-node in node clustering can be limited, which will improve the overall performance of P2P networks.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Wei Zheng: colleagues
Sheng Zhang: colleagues
Yi Ouyang: colleagues
Fillia Makedon: colleagues
James Ford: colleagues