Analysis of user demand patterns and locality for YouTube traffic

Å. Arvidsson, Manxing Du, A. Aurelius, M. Kihl
{"title":"Analysis of user demand patterns and locality for YouTube traffic","authors":"Å. Arvidsson, Manxing Du, A. Aurelius, M. Kihl","doi":"10.1109/ITC.2013.6662935","DOIUrl":null,"url":null,"abstract":"Video content, of which YouTube is a major part, constitutes a large share of residential Internet traffic. In this paper, we analyse the user demand patterns for YouTube in two metropolitan access networks with more than 1 million requests over three consecutive weeks in the first network and more than 600,000 requests over four consecutive weeks in the second network. In particular we examine the existence of “local interest communities”, i.e. the extent to which users living closer to each other tend to request the same content to a higher degree, and it is found that this applies to (i) the two networks themselves; (ii) regions within these networks (iii) households with regions and (iv) terminals within households. We also find that different types of access devices (PCs and handhelds) tend to form similar interest communities. It is also found that repeats are (i) “self-generating” in the sense that the more times a clip has been played, the higher the probability of playing it again, (ii) “long-lasting” in the sense that repeats can occur even after several days and (iii) “semiregular” in the sense that replays have a noticeable tendency to occur with relatively constant intervals. The implications of these findings are that the benefits from large groups of users in terms of caching gain may be exaggerated, since users are different depending on where they live and what equipment they use, and that high gains can be achieved in relatively small groups or even for individual users thanks to their relatively predictable behaviour.","PeriodicalId":252757,"journal":{"name":"Proceedings of the 2013 25th International Teletraffic Congress (ITC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2013 25th International Teletraffic Congress (ITC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITC.2013.6662935","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17

Abstract

Video content, of which YouTube is a major part, constitutes a large share of residential Internet traffic. In this paper, we analyse the user demand patterns for YouTube in two metropolitan access networks with more than 1 million requests over three consecutive weeks in the first network and more than 600,000 requests over four consecutive weeks in the second network. In particular we examine the existence of “local interest communities”, i.e. the extent to which users living closer to each other tend to request the same content to a higher degree, and it is found that this applies to (i) the two networks themselves; (ii) regions within these networks (iii) households with regions and (iv) terminals within households. We also find that different types of access devices (PCs and handhelds) tend to form similar interest communities. It is also found that repeats are (i) “self-generating” in the sense that the more times a clip has been played, the higher the probability of playing it again, (ii) “long-lasting” in the sense that repeats can occur even after several days and (iii) “semiregular” in the sense that replays have a noticeable tendency to occur with relatively constant intervals. The implications of these findings are that the benefits from large groups of users in terms of caching gain may be exaggerated, since users are different depending on where they live and what equipment they use, and that high gains can be achieved in relatively small groups or even for individual users thanks to their relatively predictable behaviour.
YouTube流量的用户需求模式和局部性分析
视频内容在居民互联网流量中占很大比例,YouTube是其中的主要组成部分。在本文中,我们分析了YouTube在两个城域接入网中的用户需求模式,第一个网络连续三周的请求超过100万次,第二个网络连续四周的请求超过60万次。我们特别研究了“本地兴趣社区”的存在,即居住在彼此较近的用户倾向于更高程度地要求相同内容的程度,发现这适用于(i)两个网络本身;(ii)这些网络内的区域(iii)具有区域的家庭和(iv)家庭内的终端。我们还发现,不同类型的接入设备(pc和手持设备)倾向于形成相似的兴趣社区。我们还发现,重复播放具有(1)“自生性”,即一个片段播放的次数越多,再次播放的可能性就越高;(2)“持久性”,即即使在几天后也会重复播放;(3)“半规律性”,即重播具有明显的以相对恒定的间隔发生的趋势。这些发现的含义是,大用户群体在缓存增益方面的好处可能被夸大了,因为用户的生活地点和使用的设备不同,而高收益可以在相对较小的群体中实现,甚至对于个人用户来说,这要归功于他们相对可预测的行为。
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