By Topic

Direction-aware resource discovery service in large-scale grid and cloud computing

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Wu-Chun Chung ; Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan ; Chin-Jung Hsu ; Kuan-Chou Lai ; Kuan-Ching Li
more authors

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.

Published in:

Service-Oriented Computing and Applications (SOCA), 2011 IEEE International Conference on

Date of Conference:

12-14 Dec. 2011