Implementation Of Behavior-based Model Monitoring In IPv6 Networks

Nowadays network monitoring systems are crucial to communication networks. They periodically collect network performance metric values, identify performance anomalies, and determine root causes for the problems. Their effectiveness and efficiency determine the quality of services(QoS).Especially, the most important performance metrics such as connectivity, delay, packet loss rate, location of congested network nodes, and bandwidth information have direct influence on QoS of network. In order to enhance the accuracy of network monitoring information and resource utilization, and to improve the quality of network communication, this paper discussed the measurement of network monitoring performance and does the work as followed:Firstly, the paper introduced three ways to do the monitoring:active, passive and intrinsic. The intrinsic monitoring technique is viewed as a hybrid of active and passive monitoring approaches. In the intrinsic monitoring method, any added measurement data is piggybacked onto real user packets.Secondly, in conventional networks, correlating path information to resource utilization on the granularity of packets is a hard problem when using policy-based traffic handling schemes. The paper introduces a new approach termed'intrinsic monitoring'.Thirdly, the approach relies on the use of IPv6 extension headers in combination with formal behavior models to gather resource information along a path. This allows a network monitoring system to delegate monitoring functionality to the network devices themselves.And lastly, with the result of a drastic reduction in management traffic due to the increased autonomy of the monitoring system. As monitoring information travels in band with the network traffic, path information remains perfectly accurate.