Title
Evaluating GUESS and Non-Forwarding Peer-to-Peer Search
Abstract
Current search techniques over unstructured peer-to-peer networks rely on intelligent forwarding-based techniques to propagate queries to other peers in the network. Forwarding techniques are attractive because they typically require little state and offer robustness to peer failures; however they have inherent performance drawbacks due to the overhead of forwarding and lack of central control. In this paper, we study GUESS, a non-forwarding search mechanism, as a viable alternative to currently popular forwarding-based mechanisms. We show how non-forwarding mechanisms can be over an order of magnitude more efficient than forwarding mechanisms; however, they must be deployed with care, as a naive implementation can result in highly suboptimal performance, and make them susceptible to hotspots and misbehaving peers.
Year
DOI
Venue
2004
10.1109/ICDCS.2004.1281585
ICDCS
Keywords
Field
DocType
intelligent forwarding-based technique,popular forwarding-based mechanism,non-forwarding search mechanism,non-forwarding peer-to-peer search,current search technique,suboptimal performance,inherent performance drawback,non-forwarding mechanism,central control,forwarding technique,forwarding mechanism,computer networks,intelligent networks,protocols,robust control,file servers,computer science,distributed systems,bandwidth,distributed algorithms
File server,Peer-to-peer,Computer science,Computer network,Peer to peer computing,Robustness (computer science),Distributed algorithm,Bandwidth (signal processing),Intelligent Network,Robust control,Distributed computing
Conference
ISSN
ISBN
Citations 
1063-6927
0-7695-2086-3
20
PageRank 
References 
Authors
1.58
15
3
Name
Order
Citations
PageRank
Beverly Yang11790121.37
Patrick Vinograd2382.79
Héctor García-Molina3243595652.13