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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.
Issue Date:2016-09-01
Date Available in IDEALS:2016-09-01

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