Congestion avoidance and control
SIGCOMM '88 Symposium proceedings on Communications architectures and protocols
Modeling TCP throughput: a simple model and its empirical validation
Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
Congestion control for high bandwidth-delay product networks
Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications
Quality-adaptive media streaming by priority drop
NOSSDAV '03 Proceedings of the 13th international workshop on Network and operating systems support for digital audio and video
Multimedia streaming via TCP: an analytic performance study
Proceedings of the 12th annual ACM international conference on Multimedia
Designing DCCP: congestion control without reliability
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
Delving into internet streaming media delivery: a quality and resource utilization perspective
Proceedings of the 6th ACM SIGCOMM conference on Internet measurement
Empirical evaluation of the congestion responsiveness of RealPlayer video streams
Multimedia Tools and Applications
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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 eResearch scenarios.