DocumentCode :
527629
Title :
Notice of Retraction
A novel grid resource matching scheme
Author :
Yuan Lin ; Siwei Luo ; Baohua Han
Author_Institution :
Sch. of Comput. & Inf. Technol., Beijing Jiaotong Univ., Beijing, China
Volume :
7
fYear :
2010
fDate :
10-12 Aug. 2010
Firstpage :
3743
Lastpage :
3747
Abstract :
Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

Improving the grid resource matching performance under large-scale users and computing resources environment is an important and challenging problem. Many existing grid resource matching and scheduling algorithms need search and compare every grid computing resource node without considering characteristics of grid resource and users´ behavior. At the same time, with service oriented grid development, grid system should provide personalized service in scheduling process. Therefore, this paper proposes a novel grid resource matching algorithm based improved collaborative filtering algorithm that can give user recommendation resource set by computing the best approximate resource based on user´s behavior.
Keywords :
grid computing; groupware; information filtering; recommender systems; resource allocation; collaborative filtering; grid computing resource node; grid resource matching scheme; large-scale user; recommendation mechanism; scheduling algorithm; Algorithm design and analysis; Collaboration; Prediction algorithms; Processor scheduling; Recommender systems; Scheduling; collaborative filtering algorithm; grid; recommendation mechanism; resource matching;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-5958-2
Type :
conf
DOI :
10.1109/ICNC.2010.5583413
Filename :
5583413
Link To Document :
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