Network Coding for Effective NDN Content Delivery: Models, Experiments, and Applications

Kai Lei, Fangxing Zhu, Cheng Peng, Kuai Xu
{"title":"Network Coding for Effective NDN Content Delivery: Models, Experiments, and Applications","authors":"Kai Lei, Fangxing Zhu, Cheng Peng, Kuai Xu","doi":"10.1109/ICPP.2015.19","DOIUrl":null,"url":null,"abstract":"How to effectively distribute and share increasingly large volumes of data in large-scale network applications is a key challenge for Internet infrastructure. Although NDN, a promising new future internet architecture which takes data oriented transfer approaches, aims to better solve such needs than IP, it still faces problems like data redundancy transmission and inefficient in-network cache utilization. This paper combines network coding techniques to NDN to improve network throughput and efficiency. The merit of our design is that it is able to avoid duplicate and unproductive data delivery while transferring disjoint data segments along multiple paths and with no excess modification to NDN fundamentals. To quantify performance benefits of applying network coding in NDN, we integrate network coding into an NDN streaming media system implemented in the ndn SIM simulator. Basing on BRITE generated network topologies in our simulation, the experimental results clearly and fairly demonstrate that considering network coding in NDN can significantly improve the performance, reliability and QoS. More importantly, our approach is capable of and well fit for delivering growing Big Data applications including high-performance and high-density video streaming services.","PeriodicalId":423007,"journal":{"name":"2015 44th International Conference on Parallel Processing","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 44th International Conference on Parallel Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPP.2015.19","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

How to effectively distribute and share increasingly large volumes of data in large-scale network applications is a key challenge for Internet infrastructure. Although NDN, a promising new future internet architecture which takes data oriented transfer approaches, aims to better solve such needs than IP, it still faces problems like data redundancy transmission and inefficient in-network cache utilization. This paper combines network coding techniques to NDN to improve network throughput and efficiency. The merit of our design is that it is able to avoid duplicate and unproductive data delivery while transferring disjoint data segments along multiple paths and with no excess modification to NDN fundamentals. To quantify performance benefits of applying network coding in NDN, we integrate network coding into an NDN streaming media system implemented in the ndn SIM simulator. Basing on BRITE generated network topologies in our simulation, the experimental results clearly and fairly demonstrate that considering network coding in NDN can significantly improve the performance, reliability and QoS. More importantly, our approach is capable of and well fit for delivering growing Big Data applications including high-performance and high-density video streaming services.
有效NDN内容传递的网络编码:模型、实验和应用
如何在大规模网络应用中有效地分发和共享日益庞大的数据量是互联网基础设施面临的一个关键挑战。NDN是一种有前景的未来互联网新架构,采用面向数据的传输方式,旨在比IP更好地解决这些需求,但它仍然面临数据冗余传输和网络内缓存利用率低下等问题。本文将网络编码技术与NDN相结合,以提高网络吞吐量和效率。我们设计的优点是,它能够避免重复和非生产性的数据传输,同时沿着多条路径传输不相交的数据段,并且不需要对NDN基础进行过多的修改。为了量化在NDN中应用网络编码的性能优势,我们将网络编码集成到在NDN SIM模拟器中实现的NDN流媒体系统中。基于我们仿真的BRITE生成的网络拓扑,实验结果清楚而公正地证明了在NDN中考虑网络编码可以显著提高性能、可靠性和QoS。更重要的是,我们的方法能够并且非常适合交付不断增长的大数据应用,包括高性能和高密度视频流服务。
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