Analysis, modeling and generation of self-similar VBR video traffic
SIGCOMM '94 Proceedings of the conference on Communications architectures, protocols and applications
Video-on-demand services: efficient transportation and decompression of variable bit rate video
Video-on-demand services: efficient transportation and decompression of variable bit rate video
RCBR: a simple and efficient service for multiple time-scale traffic
IEEE/ACM Transactions on Networking (TON)
IEEE/ACM Transactions on Networking (TON)
A Comparison of Bandwidth Smoothing Techniques for the Transmission of Prerecorded Compressed Video
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
Real-Time Traffic Transmission Over the Internet TITLE2:
Real-Time Traffic Transmission Over the Internet TITLE2:
Critical bandwidth allocation for the delivery of compressed video
Computer Communications
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Multimedia applications require the transmission of real-time streams over a network. These streams often exhibit variable bandwidth requirements, and require high bandwidth and guarantees from the network. This creates problems when such streams are delivered over the Internet. To solve these problems, recently, a small set of differentiated services has been introduced. Among these, Premium Service is suitable for real-time transmissions. It uses a bandwidth allocation mechanism (BAM) based on the traffic peak rate. Since the bandwidth requirement of a video stream can be quite variable, this can result in a high cost to the user and an inefficient use of network bandwidth. In this paper we introduce a BAM that can increase bandwidth utilization and decrease the allocated bandwidth without affecting the QoS of the delivered real-time stream and without introducing any modification in the Premium Service. We also introduce several frame dropping mechanisms that further reduce bandwidth consumption subject to a QoS constraint when coupled with the above BAM. The proposed BAM and the heuristics algorithms are evaluated using Motion JPEG and MPEG videos and are shown to be effective in reducing bandwidth requirements.