Analysis, modeling and generation of self-similar VBR video traffic
SIGCOMM '94 Proceedings of the conference on Communications architectures, protocols and applications
RCBR: a simple and efficient service for multiple time-scale traffic
SIGCOMM '95 Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
On the characterization of VBR MPEG streams
SIGMETRICS '97 Proceedings of the 1997 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
IEEE/ACM Transactions on Networking (TON)
RTCSA '97 Proceedings of the 4th International Workshop on Real-Time Computing Systems and Applications
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
Video on demand over ATM: constant-rate transmission and transport
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 3
Online smoothing of variable-bit-rate streaming video
IEEE Transactions on Multimedia
Critical bandwidth allocation for the delivery of compressed video
Computer Communications
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Traffic smoothing is an efficient means to reduce the bandwidth requirement for transmitting a VBR video. For live video applications, Sen et al. present an online algorithm referred to as SLWIN(k) to compute the transmission schedule on the fly. SLWIN(k) looks ahead W frames to compute the transmission schedule for the next k frametimes, where k≤ W. Note that W is upper bounded by the initial delay of the playback. The time complexity of SLWIN(k) is O(W*N /k) for an N frame live video. In this paper, we present an O(N) online traffic smoothing algorithm denoted as ATS (Aggressive Traffic Smoothing). ATS aggressively works ahead to transmit more data as early as possible for reducing the peak rate of the bandwidth requirement. We compare the performance of ATS with SLWIN(k) based on several benchmark video clips. Experiment results show that ATS further reduces the bandwidth requirement, especially for interactive applications in which the initial delays are small.