Abstract
In recent years, the multimedia streaming technology becomes increasingly mature, and as network bandwidth and computing power of personal hand-held devices are developed; therefore, it leads the requirements for multimedia quality increased. In order to provide the quality multimedia content to numerous users, how to divide the loading of content servers to improve the streaming quality is an important challenge. As the concept of multimedia cloud network is formed, how to allocate multimedia streaming service to the nodes in the media cloud network is discussed in this paper. This study designs H.264/SVC streaming service at the media cloud computing center, with the video most suitable for client-side quality provided based on H.264/SVC features (temporal scalability, spatial scalability, and quality scalability) and network bandwidth. In addition, the loading balance and communication mechanisms between nodes are discussed, where the best node is selected by the evaluating node, client-side bandwidth and computing power, for determining the appropriate video streaming path that is used to provide quality multimedia streaming service. According to the experimental results, the bandwidth prediction error rate for general multimedia network streaming service can be maintained at about 6 %, while the utilization rate of various nodes of the multimedia cloud computing center is maintained in a balanced state during the period of executing multi-streaming service.
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Zhou, L., Wang, X., Tu, W., Mutean, G., Geller, B.: Distributed scheduling scheme for video streaming over multi-channel multi-radio multi-hop wireless networks. IEEE J. Sel. Areas Commun. 28(3), 409–419 (2010)
Han, J., Hu, M., Sun, H.: Search engine prototype system based on cloud computing. In: Proceedings of the First International Conference on Cloud Computing, Beijing, China, pp. 332–337, 1–4 December 2009
Ghandeharizadeh, S., Krishnamachari, B.: C2P2: a peer-to-peer network for on-demand automobile information services. In: Proceedings of 15th International Workshop on Database and Expert Systems Applications, Zaragoza, Spain, pp. 538–542, August 30–September 3 2004
Wu, S.Y., He, C.E.: QoS-aware dynamic adaptation for cooperative media streaming in mobile environments. IEEE Trans. on Parallel Distrib. Syst. 22(3), 439–450 (2011)
Huang, D., Zhang, X., Kang, M., Luo, J.: MobiCloud: building secure cloud framework for mobile computing and communication. In: Proceedings of the Fifth IEEE International Symposium on Service Oriented System Engineering, Nanjing, China, pp. 27–34, 4–5 June 2010
Ferretti, S., Ghini, V., Panzieri, F., Turrini, E.: Seamless support of multimedia distributed applications through a cloud. In: Proceedings of the 3rd IEEE International Conference on Cloud Computing, Miami, FL, USA, pp. 548–549, 5–10 July 2010
Diaz-Sanchez, D., Almenarez, F., Marin, A., Proserpio, D., Cabarcos, P.A.: Media cloud: an open cloud computing middleware for content management. IEEE Trans. Consum. Electron. 57(2), 970–978 (2011)
Lai, C.F., Vasilakos, A.V.: Mobile multimedia services over cloud computing. IEEE COMSOC MMTC E-Letter 5(6), 39–42 (2010)
Hu, G.Q., Tay, W.P., Wen, Y.G.: Cloud robotics: architecture, challenges and applications. IEEE Netw. 26(3), 21–28 (2012)
Shao, L.L., Zhu, Z., Wang, Q., Sabhikhi, R.K.: Wireless network cloud: architecture and system requirements. IBM J. Res. Dev. 54(1), 1–12 (2010)
Lai, C.F., Chen, M.: Playback-rate based streaming services for maximum network capacity in IP multimedia subsystem. IEEE Syst. J. 5(4), 555–563 (2010)
Ali, T., Nauman, M., Hadi, F.-E., bin Muhaya, F.: On usage control of multimedia content in and through cloud computing paradigm. In: Proceedings of 5th International Conference on Future Information Technology, Busan, Korea, pp. 1–5, 21–23 May 2010
Chang, J.H., Lai, C.F., Huang, Y.M., Chao, H.C.: 3PRS: a personalized and popular programs recommendation system of digital TV for P2P social network. Multimedia Tools Appl. 47(1), 31–48 (2010)
Huang, Y., Peng, J.L., Kuo, C.C.J., Gopi, M.: A generic scheme for progressive point cloud coding. IEEE Trans. Visual Comput. Graph. 14(2), 440–453 (2008)
Chang, S.Y., Lai, C.F., Huang, Y.M.: Dynamic adjustable multimedia streaming service architecture over cloud computing. Comput. Commun. 35(15), 1798–1808 (2012)
Acknowledgment
The authors would like to thank the National Science Council of the Republic of China, Taiwan for supporting this research under Contract NSC 101-2628-E-194-003-MY3, 102-2219-E-194-002 and 101-2221-E-197-008-MY3.
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© 2014 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Cho, WT., Lai, CF. (2014). Adaptive Multimedia Cloud Computing Center Applied on H.264/SVC Streaming. In: Leung, V., Chen, M. (eds) Cloud Computing. CloudComp 2013. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 133. Springer, Cham. https://doi.org/10.1007/978-3-319-05506-0_2
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DOI: https://doi.org/10.1007/978-3-319-05506-0_2
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