【作者】 邵颖； 龚正虎；

【Author】 Shao Ying,Gong Zheng - hu (Computer School,National University of Defence Technology,ChangSha 410073,China)

【机构】 国防科学技术大学计算机学院；

【摘要】 网络环境中常出现局部大数据流现象,这对网络的使用产生了不良影响。本文将网络中流量最大的链路定义为重负载数据流链路。由于重负载数据流链路是最可能对网络效率产生不良影响的因素之一,本文提出基于使用NetFlow采集的流量数据的算法,算法结合了拓扑信息对网络流量分布进行分析得到最重负载链路,并在管理软件中对其进行展示。这能够帮助网络管理人员在第一时间找到网络中的瓶颈链路。本算法结构简单,易于实现。更多还原

【Abstract】 Bulk data transmission in some small areas in the current network brings some bad side-effect to the correct use of the network. It present a concept of over-loaded data flow link which is the link that has the heaviest traffic in the network.Due to the over-loaded data flow link is the most possible factor to bring the network bad side-effect,it design a new algorithm which is based on NetFlow to capture the network traffic and topology information.It also design a graphic interface to show the overloaded data flow link which can be used to help the network managers to find the network neckbottle at the very early time.Meanwhile,this algorithm has simple data structures and is easy to implement.更多还原