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Autonomic Control for Quality Collaborative Video Viewing

Dan Phung; Giuseppe Valetto; Gail E. Kaiser

Title:
Autonomic Control for Quality Collaborative Video Viewing
Author(s):
Phung, Dan
Valetto, Giuseppe
Kaiser, Gail E.
Date:
Type:
Technical reports
Department:
Computer Science
Permanent URL:
Series:
Columbia University Computer Science Technical Reports
Part Number:
CUCS-053-04
Publisher:
Department of Computer Science, Columbia University
Publisher Location:
New York
Abstract:
We present an autonomic controller for quality collaborative video viewing, which allows groups of geographically dispersed users with different network and computer resources to view a video in synchrony while optimizing the video quality experienced. The autonomic controller is used within a tool for enhancing distance learning with synchronous group review of online multimedia material. The autonomic controller monitors video state at the clients' end, and adapts the quality of the video according to the resources of each client in (soft) real time. Experimental results show that the autonomic controller successfully synchronizes video for small groups of distributed clients and, at the same time, enhances the video quality experienced by users, in conditions of fluctuating bandwidth and variable frame rate.
Subject(s):
Computer science
Item views:
179
Metadata:
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