| dc.contributor.author | Le Thi Hong Hanh | en_US |
| dc.contributor.author | Hoang Doan | en_US |
| dc.contributor.author | Simmonds Andrew | en_US |
| dc.contributor.editor | en_US | |
| dc.date.accessioned | 2009-11-09T05:34:02Z | |
| dc.date.available | 2009-11-09T05:34:02Z | |
| dc.date.issued | 2005 | en_US |
| dc.identifier | 2005002430 | en_US |
| dc.identifier.citation | Le Thi Hong Hanh, Hoang Doan, and Simmonds Andrew 2005, 'A self-organising model for topology-aware overlay formation', IEEE, Seoul, Korea, pp. 1566-1571. | en_US |
| dc.identifier.issn | 0-7803-8939-5 | en_US |
| dc.identifier.other | E1 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10453/2307 | |
| dc.description.abstract | One of the major weaknesses of existing peer-to-peer (P2P) networks is that their overlay structures do not correlate to the physical underlying network topology. As a result, the overlays waste network resources and introduce excessive end-to-end latency for P2P applications. In this paper, we present a new model for topology-aware overlay formation. Firstly, it clusters nodes that are close to each other in terms of network latency and network membership. Secondly, it discovers the underlying topology between clusters to form an efficient overlay. The model is self-organising and distributed without the need of global knowledge. | en_US |
| dc.publisher | The Institute of Electrical and Electronic Engineers Inc (IEEE) | en_US |
| dc.relation.isbasedon | http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1494607&isnumber=32111 | en_US |
| dc.title | A self-organising model for topology-aware overlay formation | en_US |
| dc.parent | IEEE International Conference on communications (ICC 2005) | en_US |
| dc.journal.volume | 3 | en_US |
| dc.journal.number | en_US | |
| dc.publocation | Piscataway, USA | en_US |
| dc.identifier.startpage | 1566 | en_US |
| dc.identifier.endpage | 1571 | en_US |
| dc.cauo.name | Information Technology | en_US |
| dc.conference | Towards the era of ubiquitous networks ICC 2005 | en_US |
| dc.conference.location | Seoul, Korea | en_US |