Congestion avoidance and control
SIGCOMM '88 Symposium proceedings on Communications architectures and protocols
A quantitative comparison of graph-based models for Internet topology
IEEE/ACM Transactions on Networking (TON)
Error control techniques for interactive low-bit rate video transmission over the Internet
Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
On estimating end-to-end network path properties
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
The Eifel retransmission timer
ACM SIGCOMM Computer Communication Review
Jitter-based delay-boundary prediction of wide-area networks
IEEE/ACM Transactions on Networking (TON)
An adaptive multiple retransmission technique for continuous media streams
NOSSDAV '04 Proceedings of the 14th international workshop on Network and operating systems support for digital audio and video
Adaptive media playout for low-delay video streaming over error-prone channels
IEEE Transactions on Circuits and Systems for Video Technology
RPT: re-architecting loss protection for content-aware networks
NSDI'12 Proceedings of the 9th USENIX conference on Networked Systems Design and Implementation
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Time-constrained error recovery is an integral component of reliable low-delay video applications. Regardless of the error-control method adopted by the application, unacknowledged or missing packets must be quickly identified as lost or delayed, so that necessary timely actions can be taken by the server/client. Historically, this problem has been referred to as the retransmission timeout (RTO) estimation. Earlier studies show that existing RTO estimators suffer from either long loss detection times or a large number of pre-mature timeouts. The goal of this study is to address these problems by developing an adaptive RTO estimator for high-bitrate low-delay video applications. By exploiting the temporal dependence between consecutive delay samples, we propose an adaptive linear delay predictor. This way, our RTO estimator configures itself based on the video characteristics and varying network conditions. Our approach also features a controller that optimally manages the trade-off between the amount of overwaiting and redundant retransmission rate. The skeleton implementation shows that the proposed RTO estimator discriminates lost packets from excessively-delayed packets faster and more accurately than its rivals, which consequently enables the applications to recover more packets under stringent delay requirements.