Abstract
Nowadays multimedia applications surround our life. The relevant technologies of multimedia have been widely used anywhere, e.g. education, medicine, research, transportation and recreation, as long as people who has a mobile device. The computing ability of mobile device is growing rapidly, but it still has its limitations. One of significant influence on most mobile devices is the active time of them depend on the capacity of battery. Multimedia may make battery runs out quickly because it usually carries a large amount of information and data so that it leads to a great quantity of calculation and bandwidth requirement. In order to alleviate the computation amount of mobile devices, we propose an adaptive cloud-based multimedia conversion system to eliminate energy consumption and unnecessary occupancy on bandwidth in accordance with the capability and network state of users’ mobile devices. Then we propose a Simulated Annealing-based algorithm to solve the optimization problem of scheduling for a multi-user environment.
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
References
Ten, D.W.H., Manickam, S., Ramadass, S., Bazar, H.A.A.: Study on advanced visualization tools in network monitoring platform. In: Third UKSim European Symposium on Computer Modeling and Simulation (EMS 2009), pp. 445–449. IEEE, 25–27 November 2009
Lee, C.D., Jeong, T.W.: Fuzzy filtering-based segment grouping for user-centered multimedia streaming service in P2P distribution mobile networks. J. Internet Technol. 11(5), 651–658 (2010)
Tseng, F.-H., Chou, L.-D., Chiang, H.-P., Yu, W.-J.: Implement efficient data integrity for cloud distributed file system using Merkle hash tree. J. Internet Technol. (JIT) 15(2), 307–316 (2014)
Fu, Z., Sun, X., Liu, Q., Zhou, L., Shu, J.: Achieving efficient cloud search services: multi-keyword ranked search over encrypted cloud data supporting parallel computing. IEICE Trans. Commun. E98–B(1), 190–200 (2015)
Pan, Z., Zhang, Y., Kwong, S.: Efficient motion and disparity estimation optimization for low complexity multiview video coding. IEEE Trans. Broadcast. 61(2), 166–176 (2015)
Cho, H.-H., Lai, C.-F., Shih, T.K., Chao, H.-C.: Integration of SDR and SDN for 5G. IEEE Access 2, 1196–1204 (2014)
Hsu, S.-W., Chen, C.-Y., Shih, W.-K., Chao, H.-C.: Distributed media conversion system over cloud environment. In: Personalized Service Over Cloud (PSoC 2012) (in Conjunction with HumanCom2012), Gwangju, Korea, 6–8 September 2012
Shvachko, K., Kuang, H., Radia, S., Chansler, R.: The Hadoop distributed file system. In: Proceedings of the 26th IEEE Symposium on Massive Storage Systems and Technologies, MSST 2010 (2010)
Tsai, C.-W., Rodrigues, J.J.P.C.: Metaheuristic scheduling for cloud: a survey. IEEE Syst. J. 8(1), 279–291 (2014)
Dantzig, G.B.: Linear Programming and Extensions. Princeton University Press, Princeton (1963)
Aarts, E., Korst, J.: Simulated Annealing and Boltzmann Machines: A Stochastic Approach to Combinatorial Optimization and Neural Computing. Wiley, New York (1989)
Chien, W.-C., Cho, H.-H., Chen, C.-Y., Chao, H.-C., Shih, T.K.: An efficient charger planning mechanism of WRSN using simulated annealing algorithm. In: IEEE International Conference on Systems, Man, and Cybernetics (SMC 2015), Hong Kong, 9–12 October 2015
Tseng, F.-H., Chen, C.-Y., Chou, L.-D., Chao, H.-C.: Implement a reliable and secure cloud distributed file system. In: 2012 International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS), pp. 227–232 (2012)
Xia, Z., Wang, X., Sun, X., Wang, Q.: A secure and dynamic multi-keyword ranked search scheme over encrypted cloud data. IEEE Trans. Parallel Distrib. Syst. 27(2), 340–352 (2015)
Padmanabhan, V.N., Wang, H.J., Chou, P.A., Sripanidkulchai, K.: Distributing streaming media content using cooperative networking. In: Proceedings of the 12th International Workshop on Network and Operating Systems Support for Digital Audio and Video, ACM NOSSDAV 2002, pp. 177–186 (2002)
Acknowledgments
This research was partly funded by the National Science Council of the R.O.C. under grants MOST 104-2221-E-197- 014 - and 105-2221- E-197 -010 -MY2.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing AG
About this paper
Cite this paper
Cho, HH., Tseng, FH., Shih, T.K., Chou, LD., Chao, HC. (2016). SA-Based Multimedia Conversion System for Multi-users Environment. In: Sun, X., Liu, A., Chao, HC., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2016. Lecture Notes in Computer Science(), vol 10040. Springer, Cham. https://doi.org/10.1007/978-3-319-48674-1_26
Download citation
DOI: https://doi.org/10.1007/978-3-319-48674-1_26
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-48673-4
Online ISBN: 978-3-319-48674-1
eBook Packages: Computer ScienceComputer Science (R0)