现代电子技术2017，Vol.40Issue(24)：18-20,3.DOI:10.16652/j.issn.1004-373x.2017.24.006
大型Web网络数据中心资源高效挖掘技术研究
Research on efficient resource mining technology for large Web network data center
摘要
Abstract
Large amount of multimedia information resources exist in the architecture of large Web network data center. To improve resource scheduling capability by means of efficient resource mining,an efficient resource mining technology based on fuzzy semantic ontology mapping is proposed for large Web network data center. Resource information flow in large Web network data center is reconstructed. The generalized learning method is adopted to perform fuzzy clustering of resource information flow. Combined with the semantic ontology mapping method,the mutual information features are extracted and taken as the training set for data iteration and realize resource mining optimization. The simulation results show that the resource mining method for large Web network data center has good accuracy and can improve resource scheduling efficiency.关键词
Web网络/数据中心/资源挖掘/多媒体信息/模糊语义Key words
Web network/data center/resource mining/multimedia information/fuzzy semantic分类
信息技术与安全科学引用本文复制引用
陈贵平..大型Web网络数据中心资源高效挖掘技术研究[J].现代电子技术,2017,40(24):18-20,3.基金项目
贵州省科学技术协会研究项目(201602号) （201602号）
