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faas-topologies

Framework to generate geo-distributed topologies by using the OpencelliD dataset as baseline.

OpencelliD

This project offers a public database and includes worldwide data of geo-distributed cell towers. The corresponding database is being updated on a daily basis.

Dataset

Download the dataset by using the download script in bin/download_opencell_db.sh <API_KEY>

The API key can be generated for free by register with an email address at https://opencellid.org/register.php

Following columns are available in the dataset:
['radio', 'mcc', 'net', 'area', 'cell', 'unit', 'lon', 'lat', 'range', 'samples', 'changeable', 'created', 'updated', 'averageSignal']

Detailed description:
http://wiki.opencellid.org/wiki/Menu_map_view#database:~:text=https%3A//opencellid.org/-,Columns,-present%20in%20database

Glossary

http://wiki.opencellid.org/wiki/Glossary

Prepare Dataset

After downloading the .csv database file, the dataset has to be prepared for further use. Use python prepare_dataset.py --radio "LTE" to filter the database for LTE (UMTS, GMS, CDMA) radio cells and drop unnecessary columns. The output file is saved in data/cells_data/cell_towers_filtered.csv.

Filter Topology

Use python filter_dataset.py --name vienna --city Vienna --width 2 --height 2 to create a list of cells [(radio, cell, lon, lat), ...] saved as.csv file regarding the committed width --width, height --height in kilometers, coordinate --lat, --lon or city --city.

Create Cloudlet Membership

Use python create_cloudlet_membership.py --name newyork_2x2_1x1 --path topologies/newyork_2x2.csv --width 1 --height 1 to associate every cell with a cloudlet number and save it as .csv. The file is going to be saved in output/. Also, an image with the cloudlet division is going to be saved there.