{"title":"基于QoS技术的校园网研究","authors":"J. Xue, Yue Wu, Jun Tao, YunLing Zhang","doi":"10.1109/ICICSP50920.2020.9232073","DOIUrl":null,"url":null,"abstract":"With the rapid growth of campus network business, network congestion often occurs, it seriously affects the normal operation of the network. In order to avoid network congestion, after introducing the basic concept of QoS technology, this research uses DiffServ model of QoS to deploy campus network, firstly, the network traffic is classified according to the IP address corresponding to the service level, and proposes a service scheduling algorithm based on PQ + WFQ method, finally, the strategy corresponding to the algorithm is configured on the specific device interface of the network to control network flow. The experimental parameters of network services before and after QoS deployment are analyzed, such as the packet loss rate, jitter and delay are all in line with expectations, the campus network capability has achieved the excellent effect.","PeriodicalId":117760,"journal":{"name":"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Research on Campus Network Based on QoS Technology\",\"authors\":\"J. Xue, Yue Wu, Jun Tao, YunLing Zhang\",\"doi\":\"10.1109/ICICSP50920.2020.9232073\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the rapid growth of campus network business, network congestion often occurs, it seriously affects the normal operation of the network. In order to avoid network congestion, after introducing the basic concept of QoS technology, this research uses DiffServ model of QoS to deploy campus network, firstly, the network traffic is classified according to the IP address corresponding to the service level, and proposes a service scheduling algorithm based on PQ + WFQ method, finally, the strategy corresponding to the algorithm is configured on the specific device interface of the network to control network flow. The experimental parameters of network services before and after QoS deployment are analyzed, such as the packet loss rate, jitter and delay are all in line with expectations, the campus network capability has achieved the excellent effect.\",\"PeriodicalId\":117760,\"journal\":{\"name\":\"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICSP50920.2020.9232073\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICSP50920.2020.9232073","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Campus Network Based on QoS Technology
With the rapid growth of campus network business, network congestion often occurs, it seriously affects the normal operation of the network. In order to avoid network congestion, after introducing the basic concept of QoS technology, this research uses DiffServ model of QoS to deploy campus network, firstly, the network traffic is classified according to the IP address corresponding to the service level, and proposes a service scheduling algorithm based on PQ + WFQ method, finally, the strategy corresponding to the algorithm is configured on the specific device interface of the network to control network flow. The experimental parameters of network services before and after QoS deployment are analyzed, such as the packet loss rate, jitter and delay are all in line with expectations, the campus network capability has achieved the excellent effect.