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Título: |
SA- Rough Sets K-means resource dynamic allocation strategy Based on Cloud Computing Environment |
Autores: |
Ying, Meng; Changsha University of Sciences and Technology Ke, Luo; Changsha University of Sciences and Technology Jian-hua, Liu; Changsha University of Sciences and Technology Fei, Jiang; Changsha University of Sciences and Technology |
Fecha: |
2012-10-01 |
Publicador: |
TELKOMNIKA: Indonesian journal of electrical engineering |
Fuente: |
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Tipo: |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
Tema: |
No aplica |
Descripción: |
Cloud computing has received increasingly attention from network computing model research, which can realize several kinds of resource sharing and dynamic resource allocation. However, how to effectively route storage resource in cloud, reduce dynamic load and cross data center data transmission, take into account global load balancing are important problems to be solved. This paper proposes a kind of SA-RS-K means resource dynamic allocation strategy based on cloud computing, which can reduce the time overhead, get the optimal computing resources and improve efficiency of algorithm. Simulation experiments in the end of paper verify the efficiency of this algorithm. |
Idioma: |
Inglés |