Encoded Video Stream Sharing in Mobile Social TV using Clouds

Authors

  • P. Bhanu Prakash Department of CSE, Sri Sai Institute of Technology and Science, Rayachoty, India
  • P. Subhan Basha Department of CSE, Sri Sai Institute of Technology and Science, Rayachoty, India

Keywords:

encoded video stream sharing, social tv, GAE, Amazon EC2, PaaS and IaaS

Abstract

Now a days smartphones are providing much rich contents and social interactions like email, gaming, voice communication and web browsing etc. However there are some limitations to high quality of service such as limited battery lifetime and unstable wireless connectivity. The recent cloud computing provides an ideal platform to support the desired mobile services. In this paper, we propose the design of a Cloud-based, sOcial Mobile tV system that shares encoded video streams. The system effectively utilizes both PaaS (Platform-as-a-Service) and IaaS (Infrastructure-as a-Service) cloud services to offer the living-room experience of video watching to a group of disparate mobile users. The mobile users may be separated geographically but they can interact socially while sharing the video. To ensure that the streaming quality is good with time varying wireless connectivity, we employ an alternate for each user in IaaS cloud for social exchanges and video downloading on behalf of the user. The alternate performs efficient stream transcoding that matches the connectivity quality of the mobile user. As the battery lifetime is a bottleneck to high quality of service, we advocate the use of burst transmission from alternate to the mobile users. The burst size is decided carefully because it leads to high energy efficiency and streaming quality. The social interactions among the users are effectively achieved by efficient designs of data storage with BigTable and dynamic handling of large volumes of concurrent messages in a typical PaaS cloud.

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Published

2014-08-30

How to Cite

[1]
P. B. Prakash and P. S. Basha, “Encoded Video Stream Sharing in Mobile Social TV using Clouds”, Int. J. Comp. Sci. Eng., vol. 2, no. 8, pp. 108–111, Aug. 2014.

Issue

Vol. 2 No. 8 (2014): IJCSE August Edition

Section

Research Article

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