摘要
设计了一种基于NetFlow流量分析的实时的新型网络性能预警系统,它主要是利用基于NetFlow协议的高性能数据采集模式并运用统计学和预测学的相关算法,根据对当前网络流量值影响最大的在时间上最临近的流量值,预测下一时刻的流量数据。该系统能根据不同网络运行状态及时准确地预测出网络不同时间段的各种异常情况,有效分析网络运行效率并及时发现瓶颈,为优化网络性能提供了有力依据。
The paper designs a new type of realtime pre-waming system for network trafl3e based on NetFlow Traffic Analysis. It can forecast the network traffic by using the high performance data-collecting method based on NetFlow protocol and by taking advantage of some statistical arithmetic on the realtime data. In this case, the system can not only forecast all kinds of abnormities of different networks in different time segment exactly, but also can analyse the efficiency and bottleneck of the running network on time. So network managers can optimize the network performance more promptly and reasonably.
出处
《微电子学与计算机》
CSCD
北大核心
2007年第2期55-57,共3页
Microelectronics & Computer
基金
国家"863"计划项目(2002AA142030)
关键词
网络管理
网络性能
实时
流量分析
预测
Network management
Network pedonnance
Realtime
Traffic analysisment
Forecast
