원문정보
보안공학연구지원센터(IJGDC)
International Journal of Grid and Distributed Computing
Vol.9 No.12
2016.12
pp.341-352
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
A cloud computing resource clustering framework based on fuzzy theory is constructed. There are five steps: characteristics and requirements set, data standardization process, data normalization process, fuzzy similarity matrix, cluster partition. In the clustering partition, the transitive closure method is improved, and the special elements in the fuzzy similarity matrix are used as the control points to simplify the optimization process and improve the optimization accuracy. The experimental results show that the cloud computing resource based on the improved transitive closure method is fast and the resource utilization rate is high after clustering.
목차
Abstract
1. Introduction
2. Fuzzy Clustering of Cloud Computing Resources
2.1. Defining Resource Characteristics and Requirements
2.2. Data Standardization Process
2.3. Data Normalization Processing
2.4. Data Normalization Processing
2.5. Transitive Closure Method Cluster Partition
3. Improved Processing for Transitive Closure Method
4. Experiment Result and Analysis
5. Conclusions
References
1. Introduction
2. Fuzzy Clustering of Cloud Computing Resources
2.1. Defining Resource Characteristics and Requirements
2.2. Data Standardization Process
2.3. Data Normalization Processing
2.4. Data Normalization Processing
2.5. Transitive Closure Method Cluster Partition
3. Improved Processing for Transitive Closure Method
4. Experiment Result and Analysis
5. Conclusions
References
저자정보
참고문헌
자료제공 : 네이버학술정보