TY - GEN
T1 - Network coding for effective NDN content delivery
T2 - 44th International Conference on Parallel Processing, ICPP 2015
AU - Lei, Kai
AU - Zhu, Fangxing
AU - Peng, Cheng
AU - Xu, Kuai
N1 - Funding Information:
This project has been financially supported by National Development and Reform Commission Fund of China ([2013]1309), Shenzhen Gov Projects (No: JSGG20140516162852628, JCYJ20130331144541058 and JCYJ20130331144416448) and Kuai Xu was supported in part by the NSF grant CNS-1218212.
PY - 2015/12/8
Y1 - 2015/12/8
N2 - 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.
AB - 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.
KW - Multi-path Forwarding
KW - Named Data Networking (NDN)
KW - Network Coding
KW - Streaming media
UR - http://www.scopus.com/inward/record.url?scp=84976522190&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84976522190&partnerID=8YFLogxK
U2 - 10.1109/ICPP.2015.19
DO - 10.1109/ICPP.2015.19
M3 - Conference contribution
AN - SCOPUS:84976522190
T3 - Proceedings of the International Conference on Parallel Processing
SP - 101
EP - 110
BT - Proceedings - 2015 44th International Annual Conference on Parallel Processing, ICPP 2015
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 1 September 2015 through 4 September 2015
ER -