DocumentCode
2629021
Title
Research on Grid Resources´ Clustering Methods
Author
Jin, Shilan ; Hu, Liang ; Guo, Dong ; Guo, Bingxin
Author_Institution
Jilin Univ., Changchun
fYear
2007
fDate
21-23 Nov. 2007
Firstpage
2034
Lastpage
2039
Abstract
Clustering grid resources is benefit to allocating and scheduling them. According to the characteristics of grid resources, this paper draws the conclusion that the density-based clustering algorithms and grid-based clustering algorithms are not that fit for the grid resources´ clustering. Then it introduces an applicable algorithm-CLONE, which is density-and-grid based and discusses its applicability. Finally, a comparing experiment between CLONE and two typical algorithms respectively confirms the conclusion.
Keywords
data mining; grid computing; density-based clustering algorithms; grid resources clustering methods; grid-based clustering algorithms; unsupervised learning; Algorithm design and analysis; Cloning; Clustering algorithms; Clustering methods; Computer science; Information technology; Optical noise; Processor scheduling; Resource management; Unsupervised learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Convergence Information Technology, 2007. International Conference on
Conference_Location
Gyeongju
Print_ISBN
0-7695-3038-9
Type
conf
DOI
10.1109/ICCIT.2007.43
Filename
4420552
Link To Document