Peripatetic Shared TV Using Cloud

Kotari Tabitha, SK. Mubeena Sultana


While demands on video traffic over Portable networks have been souring, the wireless link capacity cannot keep up with the traffic demand. The gap between the traffic demand and the link capacity, along with time-varying link conditions, results in poor service quality of video streaming over Portable networks such as long buffering time and intermittent disruptions. Leveraging the cloud computing technology, we propose a new Portable video streaming Structure, dubbed AMES-Cloud, which has two main parts: AMoV(adaptive Portable video streaming) and ESoV(efficient social video Distribution). AMoV and ESoV construct a private agent to provide video streaming services efficiently for each Portable 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 Portable users, and their private agents try to prefetch video content in advance. We implement a prototype of the AMES-Cloud Structure to demonstrate its performance. It is shown that the private.


Scalable Video Coding, Adaptive Video Streaming, Computing


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