穆斯林演示:高QoE公平多源直播

Simon Da Silva, Joachim Bruneau-Queyreix, Mathias Lacaud, D. Négru, Laurent Réveillère
{"title":"穆斯林演示:高QoE公平多源直播","authors":"Simon Da Silva, Joachim Bruneau-Queyreix, Mathias Lacaud, D. Négru, Laurent Réveillère","doi":"10.1145/3204949.3208108","DOIUrl":null,"url":null,"abstract":"Delivering video content with a high and fairly shared quality of experience is a challenging task in view of the drastic video traffic increase forecasts. Currently, content delivery networks provide numerous servers hosting replicas of the video content, and consuming clients are re-directed to the closest server. Then, the video content is streamed using adaptive streaming solutions. However, some servers become overloaded, and clients may experience a poor or unfairly distributed quality of experience. In this demonstration, we showcase Muslin, a streaming solution supporting a high, fairly shared end-users quality of experience for live streaming. Muslin leverages on MS-Stream, a content delivery solution in which a client can simultaneously use several servers. Muslin dynamically provisions servers and replicates content into servers, and advertises servers to clients based on real-time delivery conditions. Our demonstration shows that our approach outperforms traditional content delivery schemes enabling to increase the fairness and quality of experience at the user side without requiring a greater underlying content delivery platform.","PeriodicalId":141196,"journal":{"name":"Proceedings of the 9th ACM Multimedia Systems Conference","volume":"114 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"MUSLIN demo: high QoE fair multi-source live streaming\",\"authors\":\"Simon Da Silva, Joachim Bruneau-Queyreix, Mathias Lacaud, D. Négru, Laurent Réveillère\",\"doi\":\"10.1145/3204949.3208108\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Delivering video content with a high and fairly shared quality of experience is a challenging task in view of the drastic video traffic increase forecasts. Currently, content delivery networks provide numerous servers hosting replicas of the video content, and consuming clients are re-directed to the closest server. Then, the video content is streamed using adaptive streaming solutions. However, some servers become overloaded, and clients may experience a poor or unfairly distributed quality of experience. In this demonstration, we showcase Muslin, a streaming solution supporting a high, fairly shared end-users quality of experience for live streaming. Muslin leverages on MS-Stream, a content delivery solution in which a client can simultaneously use several servers. Muslin dynamically provisions servers and replicates content into servers, and advertises servers to clients based on real-time delivery conditions. Our demonstration shows that our approach outperforms traditional content delivery schemes enabling to increase the fairness and quality of experience at the user side without requiring a greater underlying content delivery platform.\",\"PeriodicalId\":141196,\"journal\":{\"name\":\"Proceedings of the 9th ACM Multimedia Systems Conference\",\"volume\":\"114 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 9th ACM Multimedia Systems Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3204949.3208108\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 9th ACM Multimedia Systems Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3204949.3208108","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

鉴于预测视频流量将大幅增加,提供高质量和公平共享的视频内容是一项具有挑战性的任务。目前,内容交付网络提供了许多服务器来托管视频内容的副本,消费客户端被重定向到最近的服务器。然后,使用自适应流解决方案流式传输视频内容。但是,有些服务器会过载,客户端可能会体验到较差或不公平的体验质量。在这个演示中,我们展示了Muslin,这是一个流媒体解决方案,支持高质量的、相当共享的终端用户流媒体体验。Muslin利用了MS-Stream,一个客户端可以同时使用多个服务器的内容交付解决方案。Muslin动态地提供服务器并将内容复制到服务器中,并根据实时交付条件向客户发布服务器。我们的演示表明,我们的方法优于传统的内容交付方案,能够增加用户端的公平性和体验质量,而不需要更大的底层内容交付平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
MUSLIN demo: high QoE fair multi-source live streaming
Delivering video content with a high and fairly shared quality of experience is a challenging task in view of the drastic video traffic increase forecasts. Currently, content delivery networks provide numerous servers hosting replicas of the video content, and consuming clients are re-directed to the closest server. Then, the video content is streamed using adaptive streaming solutions. However, some servers become overloaded, and clients may experience a poor or unfairly distributed quality of experience. In this demonstration, we showcase Muslin, a streaming solution supporting a high, fairly shared end-users quality of experience for live streaming. Muslin leverages on MS-Stream, a content delivery solution in which a client can simultaneously use several servers. Muslin dynamically provisions servers and replicates content into servers, and advertises servers to clients based on real-time delivery conditions. Our demonstration shows that our approach outperforms traditional content delivery schemes enabling to increase the fairness and quality of experience at the user side without requiring a greater underlying content delivery platform.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Visual object tracking in a parking garage using compressed domain analysis ISIFT VideoNOC OpenCV.js: computer vision processing for the open web platform Subdiv17
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1