Research on Novel Effective Resource Management in Cloud Computing

被引:0
|
作者
Li, Fufang [2 ]
Xie, Dongqing [2 ]
Qi, Deyu [3 ]
Peng, Lingxi [2 ]
Xie, Guowen [1 ]
机构
[1] GuangZhou Univ, Sch Life Sci, Guangzhou 510006, Guangdong, Peoples R China
[2] GuangZhou Univ, Sch Comp Sci & Educ Software, Guangzhou 510006, Guangdong, Peoples R China
[3] GuangZhou Univ, Sch Engn & Comp Sci, Guangzhou 510006, Guangdong, Peoples R China
来源
ADVANCES IN MECHATRONICS AND CONTROL ENGINEERING, PTS 1-3 | 2013年 / 278-280卷
基金
中国国家自然科学基金;
关键词
Cloud Computing; Resource Management; Fuzzy Clustering; Distributed Hash Table (DHT);
D O I
10.4028/www.scientific.net/AMM.278-280.2077
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Cloud computing has been extensively focused by both industry and academia. Resource management and scheduling is a basic and important problem in cloud computing environment. This paper proposes a new and effective cloud resource management model and scheduling algorithm based on fuzzy clustering and Distributed hash Table. By introducing effective theory and technology, the proposed approach can: (1) subtly assign the appropriate resources to the requestors that exactly satisfy its' needs of resources, while effectively avoid unreasonable scheduling of resources; (2) rapidly and effectively locate the resources that literally satisfy the needs of the resource requestor. Simulation experiments show that the proposed approach works better than similar algorithms.
引用
收藏
页码:2077 / +
页数:2
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