Name
Abstract | ||
|---|---|---|
P2P topology design is a hot topic because it is very important for solving the problems such as deficiency in scalability and effectivity of unstructured P2P overlays. A good topology can greatly improve the performance of search algorithm. The paper proposes a self-adaptive Super-node Overlay Based on Information Exchange called SOBIE. The super-node selection in the SOBIE is different from the general super-node selections which only consider physical capabilities such as bandwidth, CPU processing ability, storage space, and etc.. The SOBIE selects the super-nodes by considering the aggregation of the delay, distance, especially the information exchange frequency, exchange time and query similarity. The SOBIE also detects the free-riders and forces them to quit the system. Through experimental simulations, we prove that the SOBIE has better performance than random or standard super-node P2P topologies in terms of file query success rate, the average query hops, and the total number of query messages. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICYCS.2008.316 | ICYCS |
Keywords | Field | DocType |
average query,information exchange time,query similarity,super node,query message,self-adaptive super-node peer-to-peer overlay,self-adaptive super-node p2p overlay,general super-node selection,p2p topology,p2p overlay,super-node selection,p2p topology design,telecommunication network topology,search problems,search algorithm,topology matching,standard super-node,peer-to-peer computing,file query success rate,information exchange,peer-to-peer topology design,information exchange frequency,query processing,niobium,network topology,integrated circuits,topology,p2p | Search algorithm,Computer science,Information exchange,Computer network,Network topology,Bandwidth (signal processing),Self adaptive,Topology design,Overlay,Distributed computing,Scalability | Conference |
ISBN | Citations | PageRank |
978-0-7695-3398-8 | 0 | 0.34 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiaqi Liu | 1 | 54 | 14.27 |
| Zhigang Chen | 2 | 274 | 44.15 |
| Deng Li | 3 | 21 | 3.45 |
| Hui Liu | 4 | 36 | 10.57 |