{"title":"多媒体业务工作流的流数据速率预测模型","authors":"Peide Zhong, Chi-Hung Chi","doi":"10.1109/ICSSSM.2007.4280137","DOIUrl":null,"url":null,"abstract":"In this paper, we address the problem of reasonably arranging the streaming data rate so as to exploit better efficiency of the multimedia services in a workflow. We first focus on the fundamental models, sequence model and parallel model, to cover the essence of the problem. Other types of models could then be deduced by compositions of these two models. Based on the queuing theory, we get the video streaming data rate prediction model. Our evaluations show that this model could predict multimedia streaming data rate very well. This work is important because with this prediction, better allocation of system resource can be done.","PeriodicalId":153603,"journal":{"name":"2007 International Conference on Service Systems and Service Management","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Streaming Data Rate Prediction Model for Multimedia Service Workflow\",\"authors\":\"Peide Zhong, Chi-Hung Chi\",\"doi\":\"10.1109/ICSSSM.2007.4280137\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we address the problem of reasonably arranging the streaming data rate so as to exploit better efficiency of the multimedia services in a workflow. We first focus on the fundamental models, sequence model and parallel model, to cover the essence of the problem. Other types of models could then be deduced by compositions of these two models. Based on the queuing theory, we get the video streaming data rate prediction model. Our evaluations show that this model could predict multimedia streaming data rate very well. This work is important because with this prediction, better allocation of system resource can be done.\",\"PeriodicalId\":153603,\"journal\":{\"name\":\"2007 International Conference on Service Systems and Service Management\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-06-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Conference on Service Systems and Service Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSSSM.2007.4280137\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Service Systems and Service Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSSM.2007.4280137","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Streaming Data Rate Prediction Model for Multimedia Service Workflow
In this paper, we address the problem of reasonably arranging the streaming data rate so as to exploit better efficiency of the multimedia services in a workflow. We first focus on the fundamental models, sequence model and parallel model, to cover the essence of the problem. Other types of models could then be deduced by compositions of these two models. Based on the queuing theory, we get the video streaming data rate prediction model. Our evaluations show that this model could predict multimedia streaming data rate very well. This work is important because with this prediction, better allocation of system resource can be done.