Optimization Of HQoS Application In Packet Transport Network

Nowadays,with the development and transformation of communication network,the Packet Transport Network has become the central transmission network now,and carries more and more new services such as speech,video,games and so on.In order to deal with the different demands of the quality of service,researchers put forward HQoS technology that can adapt to the huge scale of users and multiple types of services,making PTN equipment can further refine and differentiate traffic flow,and can also manage uniformly and dispatch hierarchically those transport objects,such as multiple users,multiple services,multiple traffic and so on.The HQoS technology today is widely studied and applied by major telecommunication operators.In this thesis,we study the commonly used HQoS model in PT,and find that flexible traffic shaping technology is needed in many scenarios.Most of the current schemes used in PTN can not support dynamic adjustment.Therefore,we propose an optimization idea that can dynamically adjust the traffic shaping parameters without reducing the original configuration's performance of HQoS and affecting other functions.This thesis is mainly divided into the following three parts.Firstly,it introduced PTN technology and HQoS technology,with emphasis on the principle.Secondly,we implement HQoS scheduling application.Lastly,we explain in detail the optimization algorithm for dynamic traffic shaping,concluding token generator and predictive computing method.It can be summarized as follows:1.In view of the increasing number of network business scenarios,a more flexible scheduling model for complex network scenarios is designed.2.Configuration model,configuration mode and parameter configuration are optimized to improve the efficiency and flexibility of user applications.3.Scheduling algorithm is optimized to enhance the availability of the HQoS model,reduce the packet loss rate and improve the efficient utilization of bandwidth.In the end,we designed a large number of simulation experiments with multiple angles,use the right test data to prove the availability and superiority of the optimization model proposed in this thesis.