|Title:||VStorm: Video Traffic Management By Distributed Data Stream Processing Systems
|Author(s):||Xu, Le; Nahrstedt, Klara; Gupta, Indranil
|Subject(s):||Distributed Systems, Multimedia systems, QoE, Apache Storm
|Abstract:||Recent published work has shown that Quality of Experience (QoE) has become one of the major concerns
in the area of large scale multimedia Internet services.
Due to the significant increase of video traffic and continuously growing need of video quality experience, the
need of a new management platform specifically designed for multimedia traffic can no longer be ignored.
Recent studies have been proposed advanced solution
that can potentially burden the video streaming framework. On the other hand, we have also witnessed the
emergence of large scale distributed stream processing
systems. These systems provide real-time results for
nearly all types of data streams and computation in a
massive scale. In this project, we are going to explore
the possibility of deploying distributed data stream processing (DSP) systems in a large-scale multimedia network with dynamically changing Internet resource.
In this paper, we are going to use a popular distributed stream processing system, Apache Storm to
implement multiple frameworks proposed by recent
published work. Simulation results on our frameworks
show that implementing complex stream control strategy in DSPs can be efficient and flexible.
|Date Available in IDEALS:||2016-09-01