摘要
对大数据环境下网络数据服务客户进行准确定位,可以提升对网络服务客户的监控管理能力。进行网络数据服务客户定位时,需要对代表网络数据服务客户的模式串进行搜索,然后进行模式串的匹配,但是传统方法进行模式串匹配时会占用大量内存和网络资源,降低了网络数据服务客户定位的效果。提出一种网络大数据环境下基于模式串TMWM高性能多模匹配的网络数据服务客户定位方法,首先进行算法的初始化,利用MWM算法将网络数据服务客户之间进行不断匹配,并利用TMWM算法进行改进,完成大数据环境下网络数据服务客户定位,仿真结果表明,与传统方法相比,改进算法减小了代表网络数据服务客户的模式串匹配范围,提升了客户模式串的查找速度,验证了改进算法在客户模式串匹配速度和匹配效率方面的有效性,说明改进方法可以有效的对网络数据服务客户定位。
In this paper, we proposed a customer location method of network service under big data environment based on TMWM high-performance multi-mode matching of pattern string. Firstly, we initialized the algorithm. Then, the MWM algorithm was used to make matching constantly among service customer of network data. Finally, the TMEM algorithm was used to make improvement and complete the customer location of network service under big data environment. The simulation results show that the modified algorithm reduces the pattern string matching range representing the service customer of network data compared with the traditional method. It improves the seeking speed of customer pattern string and verifies the effectiveness in the aspect of matching speed and efficiency of the modified algorithm. It illustrates that the modified method can locate the customer effectively.
出处
《计算机仿真》
CSCD
北大核心
2016年第11期328-332,共5页
Computer Simulation
关键词
网络大数据
服务客户
定位
Network data
Service to customer
Location
