TY - GEN
T1 - Hybrid clustered peer-assisted DASH-SVC system
AU - Dubin, Ran
AU - Hadar, Ofer
AU - Freifeld, Yariv
AU - Ruham, Aviv
AU - Dvir, Amit
AU - Harel, Nissim
AU - Barkan, Refael
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/12/22
Y1 - 2015/12/22
N2 - Dynamic Adaptive Streaming over HTTP (DASH) standard was designed to improve quality of experience (QoE) by enabling video distribution at different quality levels according to the clients' network conditions. Moreover, DASH is compatible with the H.264 Scalable Video Coding (SVC) technology. In Content Delivery Networks (CDNs)-P2P hybrid approach, users can fetch contents from the CDN edge network, the P2P network, or from both networks. In this paper, we present a Hybrid CDN-P2P-SVC-DASH system, mainly to improve user quality of experience. Our system is based on clustering the peers to improve the user download time. The simulation results show that the clusters improve the QoE, reduce the start-time and reduce the load on the tracker. We also found that relatively small clusters can achieve most of the potential benefits engrained in the CDN-P2P hybrid approach.
AB - Dynamic Adaptive Streaming over HTTP (DASH) standard was designed to improve quality of experience (QoE) by enabling video distribution at different quality levels according to the clients' network conditions. Moreover, DASH is compatible with the H.264 Scalable Video Coding (SVC) technology. In Content Delivery Networks (CDNs)-P2P hybrid approach, users can fetch contents from the CDN edge network, the P2P network, or from both networks. In this paper, we present a Hybrid CDN-P2P-SVC-DASH system, mainly to improve user quality of experience. Our system is based on clustering the peers to improve the user download time. The simulation results show that the clusters improve the QoE, reduce the start-time and reduce the load on the tracker. We also found that relatively small clusters can achieve most of the potential benefits engrained in the CDN-P2P hybrid approach.
KW - CDN
KW - DASH
KW - P2P
KW - SVC
UR - http://www.scopus.com/inward/record.url?scp=84964308917&partnerID=8YFLogxK
U2 - 10.1109/CIT/IUCC/DASC/PICOM.2015.249
DO - 10.1109/CIT/IUCC/DASC/PICOM.2015.249
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AN - SCOPUS:84964308917
T3 - Proceedings - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015
SP - 1651
EP - 1656
BT - Proceedings - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015
A2 - Atzori, Luigi
A2 - Jin, Xiaolong
A2 - Jarvis, Stephen
A2 - Liu, Lei
A2 - Calvo, Ramon Aguero
A2 - Hu, Jia
A2 - Min, Geyong
A2 - Georgalas, Nektarios
A2 - Wu, Yulei
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015
Y2 - 26 October 2015 through 28 October 2015
ER -