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live media
BulkTree: An overlay network architecture for live media streaming
      
We describe a set of computer-participative applications that demonstrate the present day viability of applications that actively process live media-based information.
      
Towards building large scale live media streaming framework for a U-city
      
Querying live media streams is a challenging problem that is becoming an essential requirement in a growing number of applications.
      
A Generative Model for Live Media Workloads In our characterization of live streaming media we considered many variables at various layers.
      
As we target live media streaming, the playback progresses of the DONet nodes are semi-synchronized.
      
Characterization of both stored and live media streaming has also received considerable attention in the literature.
      
DONet targets live media streaming with semi-synchronized nodes, which calls for different solutions.
      
In summary, the performance of DONet is quite acceptable for live media streaming.
      
In this paper, we presented the design of DONet, a Data-driven Overlay Network for live media streaming.
      
Multimedia generally refers to recorded or live media containing both video and audio tracks.
      
Observe that such systems support live media streaming and not near-Video-on-Demand.
      
Privacy in a mediaspace is important because of the highly dynamic nature of access control to live media.
      
Recall that for live media, request ON times are bracketed by the start/stop actions performed by clients.
      
Recall that for live media, the transfer length is bracketed by the start/stop actions performed by clients.
      
SplitStream supports the delivery of live media, and tries to optimize the streaming quality of delivered content.
      
To realize the data-driven overlay for live media streaming, a set of practical challenges have to be addressed.
      
This project focuses on the distribution of live media content such as TV broadcasts or radio over the Internet.
      
This observation, together with the results of our characterization, helped us enhance the GISMO toolset to generate realistic live media workloads.
      
There are still hurdles to overcome to provide captioning for live media presentations and make easy captioning and transcription a reality.
      
 

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