BASED ON CLOUD COMPUTING PLATFORM ARCHITECTURE OF DISTRIBUTED DATA MINING RESEARCH

摘要：

　　Websites on the Internet of things are always encountering the critical security and performance problems.A new cloud based distributed web security system and cloud computing based data mining platform architecture is introduced.This paper also introduces a new data mining algorithm,which could get more powerful cloud computing energy and cloud storage power.Using the network routing optimization and adaptive strategy for resource-aware distributed computing,the data process is speeded up.By combining the local data mining algorithm of different sites,the global data could be mined.Test data shows that this new algorithm could improve the data processing speed and the accuracy of data mining.Then it is of high value of application.

关键词： Web security system Cloud computing platform Data mining Distributed Adaptive strategy Resource-aware

作者: Xiaoni Wang

作者单位: School of Applied Science Beijing Information Science and Technology University,Beijing 100192,China;Dongling School of Economics and Management University of Science and Technology Beijing,Beijing 100083,China

会议类型: 国际会议

会议名称: 2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems (2012年第2届IEEE云计算与智能系统国际会议(IEEE CCIS2012))

会议地点: 杭州

会议语种:英文

页码: 567-571

在线出版日期: 2012-10-30（万方平台首次上网日期，不代表论文的发表时间）