Y. Wang, Junhua Qiu, Yu Zheng, Hengjian Tang, Xiaolu Zhang, Chao Pan, Xiaohan Sun
{"title":"Multiple services scheduling scheme of service stratum in integrated sensing network","authors":"Y. Wang, Junhua Qiu, Yu Zheng, Hengjian Tang, Xiaolu Zhang, Chao Pan, Xiaohan Sun","doi":"10.1109/ICOCN.2014.6987149","DOIUrl":null,"url":null,"abstract":"Preemptive-priority scheduling scheme based on M/M/n/m with different service ability of servers is proposed, in which arrival load of multiclass services increases proportionally and every service is able to choose a server with a certain probability. We set up the simulation model for understanding the transmission situation under various services and discuss in detail, which have been divided into 4 classes. The scheme reaches good performance with delay time of less than 15ms, average queuing length of less than 50 packets and packet loss rate lower than 0.01%. The results show that the scheme meet requirements upon real-time property and high reliability, which can be used to control traffic congestion effectively in Integrated Sensing Network.","PeriodicalId":364683,"journal":{"name":"2014 13th International Conference on Optical Communications and Networks (ICOCN)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 13th International Conference on Optical Communications and Networks (ICOCN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOCN.2014.6987149","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Preemptive-priority scheduling scheme based on M/M/n/m with different service ability of servers is proposed, in which arrival load of multiclass services increases proportionally and every service is able to choose a server with a certain probability. We set up the simulation model for understanding the transmission situation under various services and discuss in detail, which have been divided into 4 classes. The scheme reaches good performance with delay time of less than 15ms, average queuing length of less than 50 packets and packet loss rate lower than 0.01%. The results show that the scheme meet requirements upon real-time property and high reliability, which can be used to control traffic congestion effectively in Integrated Sensing Network.