TY - GEN
T1 - Exploiting network awareness to enhance DASH over wireless
AU - Bronzino, Francesco
AU - Stojadinovic, Dragoslav
AU - Westphal, Cedric
AU - Raychaudhuri, Dipankar
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/3/30
Y1 - 2016/3/30
N2 - The introduction of Dynamic Adaptive Streaming over HTTP (DASH) helped reduce the consumption of resources in video delivery, but its client-based rate adaptation is unable to optimally use the available end-to-end network bandwidth. We consider the problem of optimizing the delivery of video content to mobile clients while meeting the constraints imposed by the available network resources. Observing the bandwidth available in the network's two main components, core network, transferring the video from the servers to edge nodes close to the client, and the edge network, which is in charge of transferring the content to the user via wireless links, we aim to find an optimal solution by exploiting the predictability of future user requests of sequential video segments, as well as the knowledge of available infrastructural resources at the core and edge wireless networks in a given future time window. Instead of regarding the bottleneck of the end-to-end connection as our throughput, we distribute the traffic load over time and use intermediate nodes between the server and the client for buffering video content to achieve higher throughput, and ultimately significantly improve the Quality of Experience for the end user in comparison with current solutions.
AB - The introduction of Dynamic Adaptive Streaming over HTTP (DASH) helped reduce the consumption of resources in video delivery, but its client-based rate adaptation is unable to optimally use the available end-to-end network bandwidth. We consider the problem of optimizing the delivery of video content to mobile clients while meeting the constraints imposed by the available network resources. Observing the bandwidth available in the network's two main components, core network, transferring the video from the servers to edge nodes close to the client, and the edge network, which is in charge of transferring the content to the user via wireless links, we aim to find an optimal solution by exploiting the predictability of future user requests of sequential video segments, as well as the knowledge of available infrastructural resources at the core and edge wireless networks in a given future time window. Instead of regarding the bottleneck of the end-to-end connection as our throughput, we distribute the traffic load over time and use intermediate nodes between the server and the client for buffering video content to achieve higher throughput, and ultimately significantly improve the Quality of Experience for the end user in comparison with current solutions.
UR - http://www.scopus.com/inward/record.url?scp=84966564904&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84966564904&partnerID=8YFLogxK
U2 - 10.1109/CCNC.2016.7444942
DO - 10.1109/CCNC.2016.7444942
M3 - Conference contribution
AN - SCOPUS:84966564904
T3 - 2016 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016
SP - 1092
EP - 1100
BT - 2016 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th IEEE Annual Consumer Communications and Networking Conference, CCNC 2016
Y2 - 6 January 2016 through 13 January 2016
ER -