Survey on Network and Device Aware QoS Approach for Mobile Streaming
Keywords:
Cloud multimedia, Adaptive QoS, Network and device awareAbstract
Cloud computing is an evolving technology designed to offer a variety of computing and storage services over the Internet. Cloud computing in multimedia is normally correlated with multimedia computing over grids, server-based computing, content delivery and peer to peer multimedia computing. Multimedia services offer a flexible, scalable, efficient data processing technique and it gives a solution for the user demands of best quality multimedia. Since the intelligent mobile phones, wireless networks and tablets have become more popular, network services for the users are no longer limited inside the home. Now public is in the use of mobile devices for watching the multimedia videos via streaming. Not all multimedia file formats are supported by all the mobile devices. Users always want to watch videos or files from everywhere at anytime, regardless of the changes in the network environments. To overcome the problem of limited available bandwidth for mobile streaming, surveyed the previous methods and introduced a network and device-aware QoS method that offers multimedia data which are appropriate for terminal unit. The wastage of bandwidth and terminal power could be avoided by choosing the appropriate transcoding format based on the bandwidth value. QoS method could endow with capable self adaptive multimedia streaming services based on the bandwidth environments.
References
Chin-Feng Lai, Honggang Wang, Han-Chieh Chao, and Guofang Nan,”A network and device aware QoS approach for cloud based mobile streaming”, IEEE Trans. multimedia., vol.15, no. 4, june 2013.
Wenwu Zhu, Chong Luo, Jianfeng Wang, and Shipeng Li, “Multimedia cloud computing” in IEEE Signal Process. Mag., vol. 28, no. 3, pp. 59–69, 2011.
K. E. Psannis, Y. Ishibashi, and M.G.Hadjinicolaou, “QoS for wireless interactive multimedia streaming,” in Proc. ACM Workshop QoS and Security for Wireless and Mobile Networks, 2007, pp. 168–171.
S. Ferretti, V. Ghini, F. Panzieri, and E. Turrini, “Seamless support of multimedia distributed applications through a cloud,” in Proc. IEEE 3rd Int. Conf. Cloud Comput. (CLOUD), 2010, pp.548–549.
H.Choi, J. W.Kang, and J. G. Kim, “Dynamic and interoperable adaptation of SVC for QoS-enabled streaming,”IEEETrans. Consum. Electron., vol. 53, no. 2,pp. 384–385, 2007.
H. Sohn, H. Yoo, Y. B. Lee, C. S. Kim, W. D. Neve, and Y. M. Ro, “MPEG-21 Based scalable bitstream adaptation using medium grain scalability,” in Proc. IEEE Region 10 Conf., 2008, pp. 1–5.
M. F. Tan and X. Su, “Media cloud:When media revolution meets rise of cloud computing,” in Proc. IEEE 6th Int. Symp. Service Oriented Syst. Eng., 2011, pp. 251– 261.
H.Choi, J. W.Kang, and J. G. Kim, “Dynamic and interoperable adaptation of SVC for QoS-enabled streaming,” IEEE Trans. Consum. Electron., vol. 53, no. 2, pp. 384– 385, 200
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
