TY - GEN
T1 - QoE Evaluation of Adaptive Video Streaming Algorithms in Multi-user Networks
AU - Wei, Bo
AU - Kawakami, Koji
AU - Song, Hang
AU - Gu, Bo
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - Adaptive bitrate control (ABR) is an important technique for video streaming. This technique selects the video quality adaptively according to various network conditions, to ensure the quality of experience (QoE) for users. In the previous works, the ABR methods are mainly tested in single user environment. In this paper, an emulation testbed is constructed for QoE performance evaluation in multi-user networks. The state-of-the-art ABR methods are incorporated into the proposed environment. Emulation experiments are carried out to evaluate the performance of the methods. Preliminary results show that in FESTIVE, which has the least QoE variation in the six-user experiments, the user QoE of the worst case is only 27.5% of that of best case, demonstrating that the state-of-the-art ABR methods are not effective enough to optimize the QoE for all users under multi-user condition. Future design of the ABR method should take factors such as the fairness and resource allocation into consideration.
AB - Adaptive bitrate control (ABR) is an important technique for video streaming. This technique selects the video quality adaptively according to various network conditions, to ensure the quality of experience (QoE) for users. In the previous works, the ABR methods are mainly tested in single user environment. In this paper, an emulation testbed is constructed for QoE performance evaluation in multi-user networks. The state-of-the-art ABR methods are incorporated into the proposed environment. Emulation experiments are carried out to evaluate the performance of the methods. Preliminary results show that in FESTIVE, which has the least QoE variation in the six-user experiments, the user QoE of the worst case is only 27.5% of that of best case, demonstrating that the state-of-the-art ABR methods are not effective enough to optimize the QoE for all users under multi-user condition. Future design of the ABR method should take factors such as the fairness and resource allocation into consideration.
KW - QoE
KW - adaptive bitrate control
KW - multi user networks
KW - video streaming
UR - http://www.scopus.com/inward/record.url?scp=85078947150&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85078947150&partnerID=8YFLogxK
U2 - 10.1109/ISM46123.2019.00052
DO - 10.1109/ISM46123.2019.00052
M3 - Conference contribution
AN - SCOPUS:85078947150
T3 - Proceedings - 2019 IEEE International Symposium on Multimedia, ISM 2019
SP - 235
EP - 236
BT - Proceedings - 2019 IEEE International Symposium on Multimedia, ISM 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 21st IEEE International Symposium on Multimedia, ISM 2019
Y2 - 9 December 2019 through 11 December 2019
ER -