Title :
Research on Grid Resources´ Clustering Methods
Author :
Jin, Shilan ; Hu, Liang ; Guo, Dong ; Guo, Bingxin
Author_Institution :
Jilin Univ., Changchun
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;
Conference_Titel :
Convergence Information Technology, 2007. International Conference on
Conference_Location :
Gyeongju
Print_ISBN :
0-7695-3038-9
DOI :
10.1109/ICCIT.2007.43
