User Adaptive Mobile Video Streaming and Resourceful Video Sharing in Cloud
Main Article Content
Abstract
Over the past decade The mobile phones breed to be a necessary part of our daily
life, Smartphone uses more than basic phones much and also user demands to run lots of
applications have improved The conquest of next design mobile phone communication based on
the capability of service suppliers to engineer. The Streams are programmed by the Scalable
Video Coding expansion of the H.264/AVC model. Adding or removing the layer is determined
on the basis of the user behavior environment of the mobile system. The current advances in the
mobile video streams greater than mobile networks have been souring more than these new
trends, increasingly more traffic is accounted by video streaming and downloading. While the
video streaming is not so demanding in wired networks, mobile networks have been misery from
video traffic transmissions ended scarce bandwidth of wireless links instead of network
operators frantic hard work to augment the wireless link bandwidth (e.g., 3G and LTE), elevated
video transfer load from mobile users are quickly vast the wireless connection capacity. Though
receiving video streaming transfer via 3G/4G mobile networks, mobile users regularly undergo
from lengthy buffering time and irregular disruptions due to the restricted bandwidth and
connection stipulation variation caused by multi-path vanishing and user mobility. Thus, it is
vital to advance the service excellence of mobile video streaming while using the networking and
computing assets resourcefully.
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References
Y. Li, Y. Zhang, and R. Yuan,” Measurement and analysis of a large scale commercial mobile Internet TV
system,” in Proc. ACM Internet Meas. Conf., 2011, pp.209-224.
T. Taleb and K. Hashimoto, “MS2: A novel multisource mobile streaming architecture,” IEEE
Trans.Broadcasting, vol. 57, no.
X. Wang, S. Kim, T. Kwon, H. Kim, and Y. choi,“Unveiling the bit torrent performance in mobile WiMAX
networks,” in Proc. Passive Active Meas.Conf., 2011, pp.184-193.
A. Nafaa, T. Taleb, and L. Murphy, “Forward error correction adaptation strategies for media streaming over
wireless networks,” IEEE Commun, Mag., vol. 46, no. 1,pp. 72-79, Jan. 2008.
A. Nafaa, T. Taleb, and L. Murphy, “Forward error correction adaptation strategies for media streaming over
wireless networks,” IEEE Commun. Mag., vol. 46, no. 1, pp. 72–79, Jan. 2008.
J. Fernandez, T. Taleb, M. Guizani, and N. Kato, “Bandwidth aggregation-aware dynamic QoS negotiation for
real-time video applications in next-generation wireless networks,” IEEE Trans. Multimedia, vol.11, no. 6, pp.
–1093, Oct. 2009.
T. Taleb, K. Kashibuchi, A. Leonardi, S. Palazzo, K. Hashimoto, N. Kato, and Y. Nemoto, “A cross-layer
approach for an efficient delivery of TCP/RTP-based multimedia applications in heterogeneous wireless networks,”
IEEE Trans. Veh. Technol., vol. 57, no. 6, pp. 3801–3814,Jun. 2008
K. Zhang, J. Kong, M. Qiu, and G. L. Song,“Multimedia layout adaptation through grammatical specifications,”
ACM/SpringerMultimedia Syst., vol. 10, no. 3, pp. 245–260, 2005.
M. Wien, R. Cazoulat, A. Graffunder, A. Hutter, and P. Amon, “Real-time system for adaptive video streaming
based on SVC,” IEEE Trans. Circuits Syst. Video Technol., vol. 17, no. 9,pp.1227–1237, Sep. 2007.
H. Schwarz, D. Marpe, and T. Wiegand, “Overview of the scalable video coding extension of the H.264/AVC
standard,”IEEE Trans. Circuits Syst. Video Technol., vol. 17, no. 9,pp. 1103–1120, Sep. 2007.
H. Schwarz and M. Wien, “The scalable video coding extension of the H. 264/AVC standard,” IEEE Signal
Process. Mag., vol. 25, no. 2, pp. 135–141, Feb. 2008.
P. McDonagh, C. Vallati, A. Pande, and P. Mohapatra, “Quality-oriented scalable video delivery using H. 264
SVC on an LTE network,” in Proc. WPMC, 2011.
Q. Zhang, L. Cheng, and R. Boutaba, “Cloud computing: State-oftheart and research challenges,” J. Internet
Services Applic., vol. 1, no. 1, pp. 7–18, Apr. 2010.
D. Niu, H. Xu, B. Li, and S. Zhao, “Quality-assured cloud bandwidth auto-scaling for video-on-Demand
applications,” in Proc.IEEE INFOCOM,2012, pp. 460–468.
Y. G. Wen, W. W. Zhang, K. Guan, D. Kilper, and H. Y. Luo, “Energyoptimal execution policy for a Cloud-
assisted mobile application platform,” Sep. 2011.