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Supporting Large Scale eResearch Infrastructures with Adapted Live Streaming Capabilities
Hasan, S., Lefevre, L., Huang, Z. and Werstein, P.
Large scale e-Research environments face classical
distributed challenges: performance, heterogeneous
equipment and variable contexts. The users of such
infrastructures want to benefit from full interactive
environments based on multimedia streams (voice,
video, virtual reality) which are difficult to design
and support on a large scale basis. In this paper,
we present a new approach to support the streaming
of live flows between e-Researchers. We show that
traditional techniques (using TCP-based live streaming) are unsuitable for infrastructures with long delay
and high loss rate. TCP introduces rate oscillations
and requires more buffering and bandwidth to sustain
a smooth playback. We propose a streaming framework which provides smoother rate control than TCP
and improves streaming performance based on cross-layer feedback between the transport protocol and the
streaming server. Our solution keeps the buffer usage at the client and server to a minimum level and
provides quick rate adaptation. This paper presents
simulation results for streaming in different e-Research
scenarios. |
Cite as: Hasan, S., Lefevre, L., Huang, Z. and Werstein, P. (2008). Supporting Large Scale eResearch Infrastructures with Adapted Live Streaming Capabilities. In Proc. Sixth Australasian Symposium on Grid Computing and e-Research (AusGrid 2008), Wollongong, NSW, Australia. CRPIT, 82. Kelly, W. and Roe, P., Eds. ACS. 55-63. |
(from crpit.com)
(local if available)
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