Hybrid Segment-Based Transcoding Proxy Caching of Multimedia Streams

Yoohyun Park, Yongju Lee, Hag-Young Kim, Kyongsok Kim
{"title":"Hybrid Segment-Based Transcoding Proxy Caching of Multimedia Streams","authors":"Yoohyun Park, Yongju Lee, Hag-Young Kim, Kyongsok Kim","doi":"10.1109/CIT.2008.WORKSHOPS.67","DOIUrl":null,"url":null,"abstract":"Streaming media has contributed to a significant amount of todaypsilas Internet traffic. Like traditional Web objects, rich media objects can benefit from proxy caching, but caching streaming media is more of challenging than caching simple Web objects, because the streaming media have features such as huge size and high bandwidth. Due to huge size of streaming media, lots of researches manage the contents with segments for efficient storage management. And to support various bandwidth requirements for the heterogeneous ubiquitous devices, a transcoding proxy is usually necessary to provide not only adapting multimedia streams to the client by transcoding, but also caching them for later use. In this paper, we propose the hybrid segmentation strategy for the transcoding proxy that is uniform segmentation in the same version and is also exponential segmentation among the multiple versions. This strategy reduces the replacement count than uniform segmentation and gets the similar performance to uniform segmentation. The performance results show that hybrid segmentation with aggregated profit function have a high delay saving ratio, high byte-hit ratio and less transcoding data.","PeriodicalId":155998,"journal":{"name":"2008 IEEE 8th International Conference on Computer and Information Technology Workshops","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE 8th International Conference on Computer and Information Technology Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIT.2008.WORKSHOPS.67","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Streaming media has contributed to a significant amount of todaypsilas Internet traffic. Like traditional Web objects, rich media objects can benefit from proxy caching, but caching streaming media is more of challenging than caching simple Web objects, because the streaming media have features such as huge size and high bandwidth. Due to huge size of streaming media, lots of researches manage the contents with segments for efficient storage management. And to support various bandwidth requirements for the heterogeneous ubiquitous devices, a transcoding proxy is usually necessary to provide not only adapting multimedia streams to the client by transcoding, but also caching them for later use. In this paper, we propose the hybrid segmentation strategy for the transcoding proxy that is uniform segmentation in the same version and is also exponential segmentation among the multiple versions. This strategy reduces the replacement count than uniform segmentation and gets the similar performance to uniform segmentation. The performance results show that hybrid segmentation with aggregated profit function have a high delay saving ratio, high byte-hit ratio and less transcoding data.
多媒体流的混合分段转码代理缓存
流媒体对今天的互联网流量有很大的贡献。像传统的Web对象一样,富媒体对象可以从代理缓存中受益,但是缓存流媒体比缓存简单的Web对象更具挑战性,因为流媒体具有诸如巨大大小和高带宽等特性。由于流媒体的庞大规模,为了实现高效的存储管理,许多研究都采用分段的方式对流媒体内容进行管理。为了支持异构无处不在的设备的各种带宽需求,通常需要一个转码代理,它不仅可以通过转码使多媒体流适应客户端,还可以缓存它们以供以后使用。本文提出了一种针对转码代理的混合分割策略,即同一版本的均匀分割和多个版本之间的指数分割。该策略比均匀分割减少了替换次数,并获得了与均匀分割相似的性能。性能结果表明,具有聚合利润函数的混合分割具有较高的延迟节省率、较高的字节命中率和较少的转码数据。
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:481959085
Book学术官方微信