{"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.