Skip to content

vbajpai/2017-ccr-youtube-analysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Measuring YouTube Content Delivery over IPv6 →
ACM SIGCOMM Computer Communication Review →
October 2017


Test

The youtube test used to collect the dataset is available here →

Vantage Points

The dataset is collected from ~100 SamKnows probes:

Dataset

The raw dataset and mirrors are available here →
and a mirror is available here →

It includes the SQL schema youtube.sql and the dataset in sqlite3 format youtube.db and the metadata associated with each vantage point.

Installation

make will install the python dependencies required to run the jupyter notebooks. make run will run jupyter.

Repeating the results

plot-* notebooks can be used to repeat the analysis on the existing dataset. Each such notebook produces a single plot in the paper.

Contact

Please feel welcome to contact the authors for further details.

Releases

No releases published

Packages

No packages published