{"title":"基于sdn的HTTP自适应视频流QoE评价方法","authors":"Mingqian Wang, Yumei Wang, Yu Liu","doi":"10.1109/IC-NIDC54101.2021.9660473","DOIUrl":null,"url":null,"abstract":"Nowadays, video streaming has become the main traffic on the Internet. The demand of people for video services is growing higher and higher. In order to meet the requirements of users, the service providers such as network providers and application providers must guarantee good Quality of Experience (QoE). This paper reviews the influencing factors and main evaluation methods of user QoE, and introduces the research status and progress in this field. Then, combining with the most popular HTTP Adaptive Streaming (HAS) and SDN (Software-Defined Networking) technologies, we build an SDN-based QoE experimental platform for video streaming based some open-source software packages, in which we integrate a variety of QoE evaluation models and real extensible network environment modules. Finally, in the SDN-based virtual network, we perform videos multiple times, using different QoE evaluation methods each time, and obtain visual results. Our results prove that the platform architecture has the ability of helping researchers to carry out QoE evaluation testing in a variety of virtual network environments.","PeriodicalId":264468,"journal":{"name":"2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"SDN-Based QoE Evaluation Methods for HTTP Adaptive Video Streaming\",\"authors\":\"Mingqian Wang, Yumei Wang, Yu Liu\",\"doi\":\"10.1109/IC-NIDC54101.2021.9660473\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowadays, video streaming has become the main traffic on the Internet. The demand of people for video services is growing higher and higher. In order to meet the requirements of users, the service providers such as network providers and application providers must guarantee good Quality of Experience (QoE). This paper reviews the influencing factors and main evaluation methods of user QoE, and introduces the research status and progress in this field. Then, combining with the most popular HTTP Adaptive Streaming (HAS) and SDN (Software-Defined Networking) technologies, we build an SDN-based QoE experimental platform for video streaming based some open-source software packages, in which we integrate a variety of QoE evaluation models and real extensible network environment modules. Finally, in the SDN-based virtual network, we perform videos multiple times, using different QoE evaluation methods each time, and obtain visual results. Our results prove that the platform architecture has the ability of helping researchers to carry out QoE evaluation testing in a variety of virtual network environments.\",\"PeriodicalId\":264468,\"journal\":{\"name\":\"2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IC-NIDC54101.2021.9660473\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC-NIDC54101.2021.9660473","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
如今,视频流已经成为互联网上的主要流量。人们对视频服务的需求越来越高。为了满足用户的需求,网络提供商和应用提供商等服务提供商必须保证良好的体验质量(QoE)。本文综述了用户质量体验的影响因素和主要评价方法,介绍了该领域的研究现状和进展。然后,结合目前最流行的HTTP Adaptive Streaming (HAS)和SDN (software - defined Networking)技术,基于一些开源软件包构建了一个基于SDN的视频流QoE实验平台,其中集成了多种QoE评估模型和真正可扩展的网络环境模块。最后,在基于sdn的虚拟网络中,我们多次执行视频,每次使用不同的QoE评价方法,并获得可视化结果。研究结果证明,该平台架构能够帮助研究人员在各种虚拟网络环境中进行QoE评估测试。
SDN-Based QoE Evaluation Methods for HTTP Adaptive Video Streaming
Nowadays, video streaming has become the main traffic on the Internet. The demand of people for video services is growing higher and higher. In order to meet the requirements of users, the service providers such as network providers and application providers must guarantee good Quality of Experience (QoE). This paper reviews the influencing factors and main evaluation methods of user QoE, and introduces the research status and progress in this field. Then, combining with the most popular HTTP Adaptive Streaming (HAS) and SDN (Software-Defined Networking) technologies, we build an SDN-based QoE experimental platform for video streaming based some open-source software packages, in which we integrate a variety of QoE evaluation models and real extensible network environment modules. Finally, in the SDN-based virtual network, we perform videos multiple times, using different QoE evaluation methods each time, and obtain visual results. Our results prove that the platform architecture has the ability of helping researchers to carry out QoE evaluation testing in a variety of virtual network environments.