{"title":"预测互联网端到端延迟:概述","authors":"Ming Yang, X.R. Li, Huimin Chen, N. Rao","doi":"10.1109/SSST.2004.1295650","DOIUrl":null,"url":null,"abstract":"Predicting the end-to-end packet delay and understanding the Internet dynamics are of great importance for many realtime and non-realtime applications, especially for provisioning the quality of service (QoS) of various sources. In this paper methods for modeling Internet dynamics and predicting the end-to-end delays are surveyed with emphasis on the approaches using system identification and time series analysis. The survey focuses on a control engineer's viewpoint rather than that of a statistician. Furthermore, it intends to provide a connection between the works in the both areas.","PeriodicalId":309617,"journal":{"name":"Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"58","resultStr":"{\"title\":\"Predicting Internet end-to-end delay: an overview\",\"authors\":\"Ming Yang, X.R. Li, Huimin Chen, N. Rao\",\"doi\":\"10.1109/SSST.2004.1295650\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Predicting the end-to-end packet delay and understanding the Internet dynamics are of great importance for many realtime and non-realtime applications, especially for provisioning the quality of service (QoS) of various sources. In this paper methods for modeling Internet dynamics and predicting the end-to-end delays are surveyed with emphasis on the approaches using system identification and time series analysis. The survey focuses on a control engineer's viewpoint rather than that of a statistician. Furthermore, it intends to provide a connection between the works in the both areas.\",\"PeriodicalId\":309617,\"journal\":{\"name\":\"Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the\",\"volume\":\"68 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"58\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSST.2004.1295650\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSST.2004.1295650","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Predicting the end-to-end packet delay and understanding the Internet dynamics are of great importance for many realtime and non-realtime applications, especially for provisioning the quality of service (QoS) of various sources. In this paper methods for modeling Internet dynamics and predicting the end-to-end delays are surveyed with emphasis on the approaches using system identification and time series analysis. The survey focuses on a control engineer's viewpoint rather than that of a statistician. Furthermore, it intends to provide a connection between the works in the both areas.