Matthew Trunnell

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Existing ABR algorithms face a significant challenge in estimating future capacity: capacity can vary widely over time, a phenomenon commonly observed in commercial services. In this work, we suggest an alternative approach: rather than presuming that capacity estimation is required, it is perhaps better to begin by using only the buffer, and then ask when(More)
The complex gene regulatory networks governed by growth factor signaling are still poorly understood. In order to accelerate the rate of progress in uncovering these networks, we explored the usefulness of interspecies sequence comparison (phylogenetic footprinting) to identify conserved growth factor response elements. The promoter regions of two direct(More)
To provide a better streaming experience, video clients today select their video rates by observing and estimating the available capacity. Recent work has shown that capacity estimation is fraught with difficulties because of complex interactions between the ABR control loop, HTTP server performance and TCP congestion control. Estimation-based rate(More)
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