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:
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