Title
ResourceDog: A Trusted Resource Discovery and Automatic Invocation P2P Framework
Abstract
In this paper we propose a trusted resource discovery and automatic invocation P2P framework. It provides a series of amazing features to overcome the drawbacks of existing P2P frameworks, such as totally decentralized structured and semantic searchable topology based on dual level DHT network hierarchy, distributed metadata storage, unified resource abstraction and trusted recommendation system based on statistic model of reputation. The ResourceDog framework provides a mechanism to discovery resources by tags, prepare runtime environment for resources automatically, gather and model out rank of rating for resources. The results demonstrate that the ResourceDog framework provides convenient, powerful and trusted resources for general users in P2P environment.
Year
DOI
Venue
2008
10.1007/978-3-540-88140-7_17
NPC
Keywords
Field
DocType
automatic invocation,discovery resource,resourcedog framework,automatic invocation p2p framework,unified resource abstraction,p2p framework,statistic model,resource discovery,runtime environment,trusted resource discovery,amazing feature,p2p environment,p2p,recommender system,statistical model
Recommender system,Metadata,World Wide Web,Abstraction,Reputation system,Invocation,Computer science,Hierarchical network model,Database,Distributed computing,Reputation
Conference
Volume
ISSN
Citations 
5245
0302-9743
2
PageRank 
References 
Authors
0.40
10
3
Name
Order
Citations
PageRank
Bowei Yang141.13
Guanghua Song2368.26
Yao Zheng327629.32