Name
Abstract | ||
|---|---|---|
Virtual servers provide an abstraction layer to exploit the heterogeneity of peers (or nodes) that participate in a peer-to-peer (P2P) network based on the distributed hash table (DHT). In this paper, we present a load-balanced DHT network based on virtual servers. In our proposal, participating peers accept loads proportional to their capacities. By sampling the capacities of peers and workloads of virtual servers in the system, our design approximates the probability distributions for the capacities and workloads. Each node is based on the probability distributions to match their local virtual servers and other peers. Our proposal is developed through rigorous performance analysis, and is evaluated in extensive simulations. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/EUC.2008.12 | EUC (1) |
Keywords | Field | DocType |
statistical distributions,load-balanced dht network,local virtual server,virtual server,sampling system states,peer-to-peer network,rigorous performance analysis,abstraction layer,resource allocation,distributed hash table,hash table,peer-to-peer networks,extensive simulation,probability distribution,peer-to-peer computing,sampling methods,load balancing,virtual storage,system state sampling,servers,load balance,approximation algorithms | Peer-to-peer,Load balancing (computing),Computer science,Server,Computer network,Capacity planning,Real-time computing,Probability distribution,Resource allocation,Abstraction layer,Distributed computing,Distributed hash table | Conference |
Volume | ISBN | Citations |
1 | 978-0-7695-3492-3 | 0 |
PageRank | References | Authors |
0.34 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hung-Chang Hsiao | 1 | 256 | 32.34 |
| I-Ta Lin | 2 | 0 | 0.34 |
| Hao Liao | 3 | 51 | 5.37 |