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,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的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-warning system for network traffic based on NetFhw Traffic Analysis, It ean forecast the network traffic by using the high performance data-eolleeting method based on NetFlow pretoeol 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 ean analyses the efficiency and bottleneek of the running network on time. So network managers ean optimize the network performance more promptly and reasonably.
出处
《微电子学与计算机》
CSCD
北大核心
2006年第12期100-103,共4页
Microelectronics & Computer
基金
国家863计划项目(2002AA142030)
宁波市自然科学基金项目(2006A610012)
