Name
Abstract | ||
|---|---|---|
Pure peer-to-peer (P2P) networks is widely used, however they broadcast query packets, and cause excessive network traffic in particular. Addressing this issue, we propose a new strategy for content replication which prioritizes popular and attracting contents. Our strategy is based on replication adjustment, being cooperated with index caching, as well as LRU-based content replacement, and a more effective replica placement method than well-known probabilistic ones. We also present some experiment results to show that our strategy is better than other ones in regards to network traffic and storage consumption. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11758549_62 | International Conference on Computational Science (4) |
Keywords | Field | DocType |
effective replica placement method,popularity-based content replication,lru-based content replacement,peer-to-peer network,pure peer-to-peer,excessive network traffic,new strategy,experiment result,network traffic,index caching,replication adjustment,content replication,indexation | Replica,Broadcasting,Peer-to-peer,Content replication,Computer science,CPU cache,Network packet,Popularity,Probabilistic logic,Distributed computing | Conference |
Volume | ISSN | ISBN |
3994 | 0302-9743 | 3-540-34385-7 |
Citations | PageRank | References |
2 | 0.37 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yohei Kawasaki | 1 | 2 | 0.37 |
| Noriko Matsumoto | 2 | 18 | 5.62 |
| Norihiko Yoshida | 3 | 46 | 11.47 |