管道流量泄漏监测的网络数据流分段存储模型的实现  

Implement on Segmenting Storage Model of Pipeline Flux Leak Monitoring Netflow

作　　者：周鹏[1] 

机构地区：[1]塔里木大学信息工程学院,新疆阿拉尔843300

出　　处：《小型微型计算机系统》2009年第10期2109-2112,共4页Journal of Chinese Computer Systems

基　　金：新疆生产建设兵团工业科技攻关计划项目(2007GG15)资助;塔里木大学校长基金青年资助项目(TDZKQN05002)资助

摘　　要：针对管道流量泄漏及网络数据流存储面临的瓶颈问题,将网络数据流分段存储设计应用于管道流量泄漏监测中,提出同时保持时序性和属主性的网络数据流分段存储模型.模型在内存中采用基于弱时序性的高速缓存数据结构,提高网络数据流实时存储的效率;在磁盘中采用基于多级索引结构的数据流生成树结构,提高基于时序性和属主性的检索效率.仿真结果表明,模型显著提高网络数据流的实时存储能力,有效降低索引数据的信息量.For pipeline leakage and network traffic flow data storage bottlenecks facing the problems, network data storage sub-flow design for monitoring leakage in the pipeline flow, while maintaining the proposed timing and a master of the network data storage sub-flow model. This model adopted weak sequence-based high speed data structure in memory to improve real time storage ability. In the disc level a multi-level index data netflow spanning tree was proposed to improve sequence and ownership retrieval efficiency. The performance of evaluation exposes that the storage model of netflow can improve real-time storage ability and decrease the quantities of index data dramatically

关 键 词：网络数据流 数据流存储 数据流生成树 多级索引 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]