Distributed Media Conversion System over Cloud Environment

  • Shih-Wen Hsu
  • Chi-Yuan Chen
  • Wei-Kuan Shih
  • Han-Chieh Chao
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 182)

Abstract

Due to the technological advances and innovation, Cloud Computing has become the future Internet trend. Users can use Internet services anytime and anywhere through the Cloud virtualization framework and the rapid development of mobile devices. Especially in 3G even 4G-related technologies evolution, the increasing bandwidth makes the media service becomes a popular service. However, due to the heterogeneity of mobile devices, supporting all kinds of media transmission format for a single device is impractical. Even we can install file conversion program in a device to solve this problem, but it would cause additional power consumption and time wasting. In order to solve this problem smoothly, we propose a Distributed Media Conversion System (DMCS) over Cloud Environment. DMCS is based on MapReduce frameworks to conduct distributed media Conversion. With the help of DMCS, we can adjust the multimedia transmission format based on user terminal devices for decreasing energy consumption and assuring media service quality.

Keywords

Cloud Computing MapReduce Hadoop Media Conversion 

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References

  1. 1.
    National Institute of Science and Technology, The NIST Definition of Cloud Computing (July 2011)Google Scholar
  2. 2.
    Armbrust, M., Fox, A., Griffith, R., Joseph, A.D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I., Zaharia, M.: A view of cloud computing. Communications of the ACM 53(4), 50–58 (2010)CrossRefGoogle Scholar
  3. 3.
    Chang, K.-D., Chen, C.-Y., Chen, J.-L., Chao, H.-C.: Internet of Things and Cloud Computing for Future Internet. In: Chang, R.-S., Kim, T.-h., Peng, S.-L. (eds.) SUComS 2011. CCIS, vol. 223, pp. 1–10. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  4. 4.
    Chen, C.-Y., Chao, H.-C., Wu, T.-Y., Fan, C.-I., Chen, J.-L., Chen, Y.-S., Hsu, J.-M.: IoT-IMS Communication Platform for Future Internet. International Journal of Adaptive, Resilient and Autonomic Systems (IJARAS) 2(4), 73–93 (2011)Google Scholar
  5. 5.
    Zhu, W., Luo, C., Wang, J., Li, S.: Multimedia Cloud Computing. IEEE Signal Processing Magazine 28(3), 59–69 (2011)CrossRefGoogle Scholar
  6. 6.
    Díaz-Sánchez, D., Almenarez, F., Marín, A., Proserpio, D., Cabarcos, P.A.: Media cloud: an open cloud computing middleware for content management. IEEE Transactions on Consumer Electronics 57(2), 970–978 (2011)CrossRefGoogle Scholar
  7. 7.
    Zhao, G.-S., Rong, C.-M., Liu, J.-L., Liu, H., Zhang, F., Ye, X.-P., Tang, N., Tang, Y.: Modeling User Growth for Cloud Scalability and Availability. Journal of Internet Technology 11(3), 395–405 (2010)Google Scholar
  8. 8.
    Jiang, J., Wu, Y., Huang, X., Yang, G., Zheng, W.: Online Video Playing on Smartphones: A Context-Aware Approach Based on Cloud Computing. Journal of Internet Technology 11(6), 821–828 (2010)Google Scholar
  9. 9.
  10. 10.
    Dean, J., Ghemawat, S.: Mapreduce: Simplified data processing on large clusters. Communications of the ACM 51, 107–113 (2008)CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2012

Authors and Affiliations

  • Shih-Wen Hsu
    • 1
  • Chi-Yuan Chen
    • 2
  • Wei-Kuan Shih
    • 1
  • Han-Chieh Chao
    • 2
    • 3
    • 4
  1. 1.Department of Computer ScienceNational Tsing Hua UniversityHsinchuTaiwan
  2. 2.Department of Electrical EngineeringNational Dong Hwa UniversityHualienTaiwan
  3. 3.Institute of Computer Science and Information EngineeringNational Ilan UniversityIlanTaiwan
  4. 4.Department of Electronic EngineeringNational Ilan UniversityIlanTaiwan

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