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Neural Adaptive Video Streaming with Pensieve (SIGCOMM '17)

Home Page: http://web.mit.edu/pensieve/

License: MIT License

HTML 7.24% JavaScript 67.82% CSS 0.91% Shell 0.02% Java 18.75% Makefile 0.01% Python 5.02% C++ 0.24%

pensieve's Introduction

Pensieve Recreation for CS244

This is a fork of the Pensieve Github which we are using to recreate and extend two figures presented in the original Pensieve paper (Figures 11 and 13).

Prerequisites

  • Install prerequisites (tested with Ubuntu 16.04, Tensorflow v1.1.0, TFLearn v0.3.1 and Selenium v2.39.0)
python setup.py

Note that the above will set up an Apache server and load files to serve into the /var/www/html directory

Set up a real world test

Navigate to real_exp/

python real_world_run_video.py RL 1000 1

(Replace RL with the appropriate ABR algorithm if you don't want to test Pensieve)

pensieve's People

Contributors

hongzimao avatar hudson-ayers avatar ptcrews avatar

Watchers

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