摘要
传统的计算机网络稳定性分析模型受制于大数据环境下的随机性、突发性、有限性等弊端,分析结果偏差较大。提出基于模糊层次以及主元分析的大数据环境下网络稳定性测量模型,通过构建符合大数据环境下的网络稳定性评价指标体系,采用主元分析法塑造大数据环境下网络稳定性检测模型以及性能评估模型,以用户行为为源数据模型,在用户行为大数据环境下对网络稳定性进行测量。实验以大型电子商务网络为例进行分析,测试网络鲁棒性结果显示,该方法能够较好地完成大数据环境下的网络鲁棒性测试。
Traditional model for analyzing the stability of the computer network is subject to the big data communication un？der the environment of the randomness,sudden and finiteness,so the analysis deviation is bigger. The network stability measure？ment model based on fuzzy hierarchy and principal component analysis in large data environment is put forward. By building a network stability evaluation index system conforming to the big data environment,the principal component analysis method to es？tablish network stability testing model and performance evaluation model under the environment of big data,which takes user be？havior as the source data model,measures the network stability under the condition of big data in the user behavior. By taking large？scale e？commerce network as an example for experimental analysis,the network robustness was tested. The result indicates that the method can better accomplish robustness testing of the big data communication network.
出处
《现代电子技术》
北大核心
2015年第6期1-3,共3页
Modern Electronics Technique
基金
国家自然科学基金(61175122)
广东省重点实验室开放课题基金项目(2011A060901001-14D)
关键词
大数据
网络
稳定度
主元分析
big data
network
stability
principal component analysis
