A Skelton of Efficient Public Video Sharing and Adaptive Mobile Video Streaming in Cloud Computing
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2014, Vol 2, Issue 5
Abstract
Based on demands of overloading of video traffic over mobile networks which are been sourcing for the wireless network capacity which can be keep up with respect to the existing demand. We are facing long buffering time and intermittent disruptions. With this perspective of mind we are developing a new concept through cloud computing technology; Here by we are proposing a new mobile video streaming framework named dubbed AMES-Cloud, This skelton consists two main parts. They are named as follows AMoV (adaptive mobile video streaming) and ESoV (efficient public video sharing). Both framework parts build a private agent to provide video streaming services efficiently for every mobile user. For a given user, AMoV lets her private agent adaptively adjust her streaming flow with a scalable video coding technique based on the feedback of link quality. Likewise, ESoV monitors the social network interactions among mobile users, and also their private agents try to deploy video content in advance. Here we are going to implement a prototype of the AMES-Cloud framework to demonstrate its performance, which shows that the private agents in the clouds can effectively provide the adaptive streaming and perform video sharing based on the social network analysis?
Authors and Affiliations
D. Sravani, B. Vijaya Bhaskar Reddy
Keywords
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- EP ID EP749172
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