Title
Direction-aware resource discovery service in large-scale grid and cloud computing
Abstract
With the consideration of scalability and robustness, distributed computing systems such as grids and clouds may exploit the P2P approach to enhance their performance. However, conventional techniques in P2P systems cannot be applied directly into grid systems due to restricted sort of queries for desired resources. In this paper, we consider a fully decentralized resource discovery service based on an unstructured overlay, where the major challenge is to locate desired resources without the global knowledge about sharing resource information. Consequently, more nodes involved in the resource discovery scheme may incur higher network overhead. To achieve an efficient resource discovery, this paper aims to alleviate the network traffic among unstructured information systems. Relying on the information of resource attributes and characteristics, we propose the direction-aware resource discovery scheme to improve the overall performance. Experimental results illustrate that the proposed approach is efficient and scalable compared with conventional approaches.
Year
DOI
Venue
2011
10.1109/SOCA.2011.6166206
SOCA
Keywords
Field
DocType
overlay networks,conventional approach,direction-aware resource discovery scheme,relying,network traffic,distributed computing systems,grid computing,resource information,direction aware resource discovery,resource attributes,decentralized resource discovery service,unstructured information systems,resource allocation,resource discovery scheme,attribute overlay,large-scale grid,resource attribute,efficient resource discovery,p2p approach,unstructured information system,p2p system,resource discovery,data mining,peer-to-peer computing,cloud computing,direction-aware resource discovery service,unstructured overlay,information sharing,information system,p2p
Information system,Grid computing,Computer science,Human resource management system,Resource allocation,Grid,Overlay network,Distributed computing,Cloud computing,Scalability
Conference
ISBN
Citations 
PageRank 
978-1-4673-0317-0
3
0.39
References 
Authors
15
5
Name
Order
Citations
PageRank
Wu-Chun Chung1907.20
Chin-Jung Hsu2161.97
Kuan-Chou Lai314220.81
Kuan-ching Li4933122.44
Yeh-Ching Chung598397.16