The Application And Research Of Flow Control Strategy In Campus Network

With the popularization and development of the Internet in the universities, FTP, qq, suchas the WWW application provides the high quality service for the teachers and students; Butcampus network group users, wide scope, more network heterogeneous degree is high, BT,emule, cyclone, thunderbolt P2P applications such as disordered preemption of networkresources in the limited bandwidth, office, teaching resources in campus network applications,such as the core quality of service (QoS) cannot be guaranteed. Therefore, research in thecampus network traffic control strategy is applied to ensure reliable network service isnecessary.Distinguish between service flow control model design for campus network provides up tothe standard of quality of service (QoS) to distinguish between services. This articleemphatically from the two most regulator and scheduler to design services framework model,the flow classifier, meter, marker, dresser, throw BaoQi, RED parameters, queue management,and other working principle, algorithm of segmentation components and processes describedpseudo code. Aiming at the existing campus network traffic distribution, the present situationof the science, combined with the data stream classification mechanism in the routing controland flow control, the research object to choose effective flow control scheduling algorithm,carries on the related DiffServ policy Settings to provide reward service, to ensure that theservice, best service and the three services, to provide users with continuous high quality secureand reliable network service.Paper, first of all, according to the QoS of traffic control of technical standards for campusnetwork coverage, users, flow, management strategy, security, and so on objective analysis ofthe current flow control, find out the flow control bottlenecks, identify service requirements.Secondly, based on the distinction between service flow control concepts are compared andrelated scheduling algorithm and simulation, the analysis of experimental results isemphatically studied. Again, choose accord with the characteristics of the network flow controltool to deploying MRTG (design, installation, configuration, construction of collecting modelof network traffic control, and real-time acquisition and monitoring of network traffic, to master the situation of the campus network traffic, traffic self-similarity, cyclical factors, suchas sudden impact on the campus network performance. On this basis, put forward theappropriate flow control of campus network, stable and reliable for campus network users toprovide quality of service.