Abstract
Recent developments have heightened the optimization of Dynamic Adaptive Streaming over HTTP (DASH) services in mobile network condition (e.g. LTE/WIFI networks). The aim of this paper is to discuss how Mobile Cloud Computing (MCC) can assist DASH in a special scenario that a set of neighboring mobile devices take interests in watching the identical video stream. A mechanism is proposed to provide higher resolution live streaming with less expense (both in bandwidth and dollar-cost per device) by the cooperation among devices. The cloud-based live stream server will transcode the original stream segment according to the estimation of the devices’ group bandwidth, every device then share received fragments (part of the segment) with each other through the free device-to-device interface, and finally gets the whole segment. An emulation testbed is realized with Android Smartphone implementation according to the proposed improvement to DASH. Experiments results demonstrate its performance with today’s commercial players on the Quality of Experience (QoE), Peak Signal to Noise Ratio (PSNR) and network utilization across a range of scenarios.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Pande, A., Ahuja, V., Sivaraj, R., et al.: Video delivery challenges and opportunities in 4g networks. IEEE MultiMedia 20(3), 88–94 (2013)
Huang, T.Y., Handigol, N., Heller, B., et al.: Confused, timid, and unstable: picking a video streaming rate is hard. In: Proceedings of the 2012 ACM conference on Internet Measurement Conference, pp. 225–238. ACM (2012)
Lai, Y.X.U.N., Wan, J.: Cloud-Assisted Real time Transrating for HTTP Live Streaming. IEEE Wireless Communications 3 (2013)
Seferoglu, H., Keller, L., Cici, B., et al.: Cooperative video streaming on smartphones. In: 2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton), pp. 220–227. IEEE (2011)
Al-Kanj, L., Dawy, Z.: Optimized energy efficient content distribution over wireless networks with mobile-to-mobile cooperation. 2010 IEEE 17th International Conference on Telecommunications (ICT), pp. 471–475. IEEE (2010)
Yaacoub, E., Dawy, Z., Abu-Dayya, A.: On real-time video streaming over LTE networks with mobile-to-mobile cooperation. In: 2012 19th International Conference on Telecommunications (ICT), pp. 1–6. IEEE (2012)
Abedini, N., Sampath, S., Bhattacharyya, R., et al.: Realtime streaming with guaranteed QoS over wireless D2D networks. In: Proceedings of the fourteenth ACM International Symposium on Mobile ad Hoc Networking and Computing, pp. 197–206. ACM (2013)
Sprintson, A., Sadeghi, P., Booker, G., et al.: A randomized algorithm and performance bounds for coded cooperative data exchange. In: 2010 IEEE International Symposium on Information Theory Proceedings (ISIT), pp. 1888–1892. IEEE (2010)
ParandehGheibi, A., Médard, M., Ozdaglar, A., et al.: Avoiding interruptions—a qoe reliability function for streaming media applications. IEEE Journal on Selected Areas in Communications 29(5), 1064–1074 (2011)
Sodagar, I.: The mpeg-dash standard for multimedia streaming over the internet. IEEE MultiMedia 18(4), 62–67 (2011)
Wang, X., Kwon, T.T., Choi, Y., et al.: Cloud-assisted adaptive video streaming and social-aware video prefetching for mobile users. IEEE Wireless Communications 20(3) 2013
Li, Z., Huang, Y., Liu, G., et al.: Cloud transcoder: Bridging the format and resolution gap between internet videos and mobile devices. In: Proceedings of the 22nd International Workshop on Network and Operating System Support for Digital Audio and Video, pp. 33–38. ACM (2012)
Zhou, C., Lin, C., Zhang, X., et al.: A Control-Theoretic Approach to Rate Adaption for DASH over Multiple Content Distribution Servers (2013)
Li, Z., Begen, A.C., Gahm, J. et al.: Streaming video over HTTP with consistent quality. arXiv preprint arXiv:1401.5174 (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Zhang, X., Xi, G., Qu, K., Zhang, L. (2014). Bandwidth Efficient Adaptive Live Streaming with Cooperative Devices in Mobile Cloud Computing. In: Leung, V., Chen, M., Wan, J., Zhang, Y. (eds) Testbeds and Research Infrastructure: Development of Networks and Communities. TridentCom 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 137. Springer, Cham. https://doi.org/10.1007/978-3-319-13326-3_28
Download citation
DOI: https://doi.org/10.1007/978-3-319-13326-3_28
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13325-6
Online ISBN: 978-3-319-13326-3
eBook Packages: Computer ScienceComputer Science (R0)