{"title":"多媒体网络性能评价的混合流量模型","authors":"P. S. Barreto, P. Carvalho","doi":"10.1109/WAINA.2008.187","DOIUrl":null,"url":null,"abstract":"This work proposes a hybrid traffic model for multimedia networks as a fundamental element in a network planning optimization procedure. The proposed model uses a combination of the fBm (fractional Brownian motion) and Markovian traffic characterization procedures combined with link parameters in order to produce more accurate values of QoS metrics. The hybrid traffic model was evaluated in a network scenario that aggregates different traffic types with different combinations of Hurst parameters and variance coefficients. The results show that the QoS metrics calculated with the hybrid traffic model appear to be more accurate than the ones obtained exclusively with the fBm or the Markovian models. With these results, the proposed model appears to be useful in network planning optimization methods. .","PeriodicalId":170418,"journal":{"name":"22nd International Conference on Advanced Information Networking and Applications - Workshops (aina workshops 2008)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Hybrid Traffic Model for Multimedia Network Performance Evaluation\",\"authors\":\"P. S. Barreto, P. Carvalho\",\"doi\":\"10.1109/WAINA.2008.187\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work proposes a hybrid traffic model for multimedia networks as a fundamental element in a network planning optimization procedure. The proposed model uses a combination of the fBm (fractional Brownian motion) and Markovian traffic characterization procedures combined with link parameters in order to produce more accurate values of QoS metrics. The hybrid traffic model was evaluated in a network scenario that aggregates different traffic types with different combinations of Hurst parameters and variance coefficients. The results show that the QoS metrics calculated with the hybrid traffic model appear to be more accurate than the ones obtained exclusively with the fBm or the Markovian models. With these results, the proposed model appears to be useful in network planning optimization methods. .\",\"PeriodicalId\":170418,\"journal\":{\"name\":\"22nd International Conference on Advanced Information Networking and Applications - Workshops (aina workshops 2008)\",\"volume\":\"75 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"22nd International Conference on Advanced Information Networking and Applications - Workshops (aina workshops 2008)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WAINA.2008.187\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"22nd International Conference on Advanced Information Networking and Applications - Workshops (aina workshops 2008)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WAINA.2008.187","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hybrid Traffic Model for Multimedia Network Performance Evaluation
This work proposes a hybrid traffic model for multimedia networks as a fundamental element in a network planning optimization procedure. The proposed model uses a combination of the fBm (fractional Brownian motion) and Markovian traffic characterization procedures combined with link parameters in order to produce more accurate values of QoS metrics. The hybrid traffic model was evaluated in a network scenario that aggregates different traffic types with different combinations of Hurst parameters and variance coefficients. The results show that the QoS metrics calculated with the hybrid traffic model appear to be more accurate than the ones obtained exclusively with the fBm or the Markovian models. With these results, the proposed model appears to be useful in network planning optimization methods. .