TY - GEN
T1 - A Self-adaptive QoE streaming service integrated on cloud mobile network
AU - Lai, Chin Feng
AU - Lin, Man
AU - Chen, Shih Yeh
AU - Chao, Han Chieh
AU - Lin, Shin Feng
PY - 2014
Y1 - 2014
N2 - With increasing interest in the concept of cloud multimedia and the popularization of hand-held devices, users gradually view videos in mobile network streaming mode rather than off-line mode. However, the delays and lags resulted from the instability of a mobile network will greatly degrade streaming quality for users. In cloud multimedia streaming services, when there are multiple optional streaming sources for the same content in the cloud mobile network, the optimal resolution and bit rate cannot be selected for playing, according to the hardware and network status conditions. Therefore, this study designs a dynamic streaming adjustment mechanism for multimedia streaming, which will dynamically adjust the predicted frequency and polling time according to the utilization and stability of the current bandwidth, evaluate the user's streaming quality, hardware specification, and computing power, to decide the appropriate content source for the user, and corrects the overall streaming source sequence to dynamically construct seamless converted play service to effectively upgrade overall streaming quality.
AB - With increasing interest in the concept of cloud multimedia and the popularization of hand-held devices, users gradually view videos in mobile network streaming mode rather than off-line mode. However, the delays and lags resulted from the instability of a mobile network will greatly degrade streaming quality for users. In cloud multimedia streaming services, when there are multiple optional streaming sources for the same content in the cloud mobile network, the optimal resolution and bit rate cannot be selected for playing, according to the hardware and network status conditions. Therefore, this study designs a dynamic streaming adjustment mechanism for multimedia streaming, which will dynamically adjust the predicted frequency and polling time according to the utilization and stability of the current bandwidth, evaluate the user's streaming quality, hardware specification, and computing power, to decide the appropriate content source for the user, and corrects the overall streaming source sequence to dynamically construct seamless converted play service to effectively upgrade overall streaming quality.
UR - http://www.scopus.com/inward/record.url?scp=84904012248&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84904012248&partnerID=8YFLogxK
U2 - 10.1109/HPCC.and.EUC.2013.335
DO - 10.1109/HPCC.and.EUC.2013.335
M3 - Conference contribution
AN - SCOPUS:84904012248
SN - 9780769550886
T3 - Proceedings - 2013 IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 2013 IEEE International Conference on Embedded and Ubiquitous Computing, EUC 2013
SP - 2330
EP - 2336
BT - Proceedings - 2013 IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 2013 IEEE International Conference on Embedded and Ubiquitous Computing, EUC 2013
PB - IEEE Computer Society
T2 - 15th IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 11th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2013
Y2 - 13 November 2013 through 15 November 2013
ER -