TAPAS: a Tool for rApid Prototyping of Adaptive Streaming algorithms

TAPAS is an open-source Tool for rApid Prototyping of Adaptive Streaming control algorithms. TAPAS is a flexible and extensible video streaming client written in python language that allows to easily design and carry out experimental performance evaluations of adaptive streaming controllers without needing to write the code to download video segments, parse manifest files, and decode the video. TAPAS currently supports DASH and HLS and has been designed to minimize the CPU and memory footprint so that experiments involving a large number of concurrent video flows can be carried out using a single client machine.

TAPAS: a Tool for rApid Prototyping of Adaptive Streaming algorithms[edit]

TAPAS is an open-source Tool for rApid Prototyping of Adaptive Streaming control algorithms. TAPAS is a flexible and extensible video streaming client written in python language that allows to easily design and carry out experimental performance evaluations of adaptive streaming controllers without needing to write the code to download video segments, parse manifest files, and decode the video. TAPAS currently supports DASH and HLS and has been designed to minimize the CPU and memory footprint so that experiments involving a large number of concurrent video flows can be carried out using a single client machine.