{"title":"基于ip的多业务类环境下的流量需求衍生","authors":"L. Ioan, Grazziela Niculescu, E. Borcoci","doi":"10.1109/ICSNC.2008.31","DOIUrl":null,"url":null,"abstract":"Multimedia communication services over multi-domain heterogeneous network infrastructure need end to end (E2E) guarantees for quality of services (QoS). In this context, the proper network dimensioning and traffic engineering of each network domain are significantly dependent on the accuracy of the of traffic demand estimation. The aim of this paper is to propose an algorithm, which estimates the future traffic demand based on current subscriptions, traffic projections and historical data provided by network monitoring. This algorithm is currently evaluated and implemented in the framework of the FP6 European research project named ENTHRONE II.","PeriodicalId":105399,"journal":{"name":"2008 Third International Conference on Systems and Networks Communications","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Traffic Demand Derivation in IP-Based Multi Service Class Environment\",\"authors\":\"L. Ioan, Grazziela Niculescu, E. Borcoci\",\"doi\":\"10.1109/ICSNC.2008.31\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multimedia communication services over multi-domain heterogeneous network infrastructure need end to end (E2E) guarantees for quality of services (QoS). In this context, the proper network dimensioning and traffic engineering of each network domain are significantly dependent on the accuracy of the of traffic demand estimation. The aim of this paper is to propose an algorithm, which estimates the future traffic demand based on current subscriptions, traffic projections and historical data provided by network monitoring. This algorithm is currently evaluated and implemented in the framework of the FP6 European research project named ENTHRONE II.\",\"PeriodicalId\":105399,\"journal\":{\"name\":\"2008 Third International Conference on Systems and Networks Communications\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-10-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Third International Conference on Systems and Networks Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSNC.2008.31\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Third International Conference on Systems and Networks Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSNC.2008.31","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Traffic Demand Derivation in IP-Based Multi Service Class Environment
Multimedia communication services over multi-domain heterogeneous network infrastructure need end to end (E2E) guarantees for quality of services (QoS). In this context, the proper network dimensioning and traffic engineering of each network domain are significantly dependent on the accuracy of the of traffic demand estimation. The aim of this paper is to propose an algorithm, which estimates the future traffic demand based on current subscriptions, traffic projections and historical data provided by network monitoring. This algorithm is currently evaluated and implemented in the framework of the FP6 European research project named ENTHRONE II.
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