Providing Best Quality Of Video Streaming Using Ames Method
Journal Title: International Journal of Science Engineering and Advance Technology - Year 2015, Vol 3, Issue 11
Abstract
In wireless networks(mobile networks) the wireless link capacity cannot be stable with the demand of traffic over the networks. Due to the gap between the traffic demand and the link capacity it results in poor service quality of video streaming over mobile networks. Long buffering time and intermittent disruptions results in poor service quality of video streaming. Hence we propose a new mobile video streaming framework, dubbed AMES-Cloud, which consists of two main parts namely AMoV (adaptive mobile video streaming) and ESoV(efficient social video sharing). To provide efficient video streaming services for each mobile user AMoV and ESoV construct a private agent. AMoV lets her private agent adaptively adjust her streaming flow with scalable video coding technique based on the feedback of link quality. Likewise ESoV lets her private agents to pre-fetch video content in advance and also monitors the social network interactions among mobile users.
Authors and Affiliations
Harikoti Raj Venkat| M.Tech, Department of Computer Science and Engineering, Sir C R Reddy College of Engineering, Eluru, West Godavari District Andhra Pradesh, India - 534007 h.rajvenkat@gmail.com, Vahiduddin Shariff| Assistant Professor, Department of Computer Science and Engineering, Sir C R Reddy College of Engineering, Eluru, West Godavari District Andhra Pradesh, India - 534007 shariff.v@gmail.com
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