Tweeting videos: coordinate live streaming and storage sharing

Xu Cheng, Jiangchuan Liu
{"title":"Tweeting videos: coordinate live streaming and storage sharing","authors":"Xu Cheng, Jiangchuan Liu","doi":"10.1145/1806565.1806571","DOIUrl":null,"url":null,"abstract":"User generated video sharing (e.g., YouTube) and social-networked micro-blogging (e.g., Twitter) are among the most popular Internet applications in the Web 2.0 era. It is known that these two applications are now tightly coupled, with many new videos being tweeted among Twitter users. Unfortunately, video sharing sites are facing critical server bottlenecks and the surges created by Twitter followers would make the situation even worse. To better understand the challenges and opportunities therein, we have conducted an online user survey on their personal preference and social interest of Internet video sharing. Our data analysis reveals an interesting coexistence of live streaming and storage sharing, and that the users are generally more interested in watching their friend's videos. It further suggests that the users are willing to share their resources to assist others with close relations, implying node collaboration is a rationale choice in this context. In this paper, we present COOLS (Coordinated Live Streaming and Storage Sharing), an initial attempt toward efficient peer-to-peer tweeting of user-generated videos. Through a novel ID code design that embeds nodes' locations in an overlay, COOLS leverages stable storage users and yet inherently prioritizes living streaming flows. Preliminary evaluation results show that, as compared to other state-of-the-art solutions, COOLS successfully takes advantage of the coexistence of live streaming and storage sharing, providing better scalability, robustness, and streaming quality.","PeriodicalId":436504,"journal":{"name":"Proceedings of the 20th international workshop on Network and operating systems support for digital audio and video","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 20th international workshop on Network and operating systems support for digital audio and video","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1806565.1806571","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

Abstract

User generated video sharing (e.g., YouTube) and social-networked micro-blogging (e.g., Twitter) are among the most popular Internet applications in the Web 2.0 era. It is known that these two applications are now tightly coupled, with many new videos being tweeted among Twitter users. Unfortunately, video sharing sites are facing critical server bottlenecks and the surges created by Twitter followers would make the situation even worse. To better understand the challenges and opportunities therein, we have conducted an online user survey on their personal preference and social interest of Internet video sharing. Our data analysis reveals an interesting coexistence of live streaming and storage sharing, and that the users are generally more interested in watching their friend's videos. It further suggests that the users are willing to share their resources to assist others with close relations, implying node collaboration is a rationale choice in this context. In this paper, we present COOLS (Coordinated Live Streaming and Storage Sharing), an initial attempt toward efficient peer-to-peer tweeting of user-generated videos. Through a novel ID code design that embeds nodes' locations in an overlay, COOLS leverages stable storage users and yet inherently prioritizes living streaming flows. Preliminary evaluation results show that, as compared to other state-of-the-art solutions, COOLS successfully takes advantage of the coexistence of live streaming and storage sharing, providing better scalability, robustness, and streaming quality.
推特视频:协调直播和存储共享
用户生成的视频分享(如YouTube)和社交网络微博客(如Twitter)是Web 2.0时代最流行的互联网应用。众所周知,这两个应用程序现在紧密结合在一起,Twitter用户在Twitter上发布了许多新视频。不幸的是,视频分享网站正面临严重的服务器瓶颈,而Twitter粉丝带来的激增将使情况变得更糟。为了更好地了解其中的挑战和机遇,我们对网络视频分享的个人偏好和社会兴趣进行了在线用户调查。我们的数据分析揭示了直播和存储共享的有趣共存,用户通常对观看朋友的视频更感兴趣。它进一步表明,用户愿意分享他们的资源来帮助关系密切的其他人,这意味着节点协作是这种情况下的基本选择。在本文中,我们提出了cool(协调直播和存储共享),这是对用户生成视频的高效点对点推文的初步尝试。通过一种新颖的ID代码设计,将节点的位置嵌入到覆盖层中,cool利用稳定的存储用户,但本质上优先考虑实时流。初步评估结果表明,与其他最先进的解决方案相比,cool成功地利用了直播和存储共享的共存,提供了更好的可扩展性、鲁棒性和流媒体质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信