Dataset used in "Balloons in the Sky: Unveiling the Characteristics and Trade-offs of the Google Loon Service"

They can be analyzed using e.g. pyspark with the following code df = spark.read.parquet( dataset.parquet ) Each scenario is composed of two tables.

The file dataset.parquet contains the measured bandwidth in the analyzed area for a period of approximately three months. Its columns are: ts: the timestamp of the measurement, as UNIX timestamp h3: the id of the H3 hexagon (aka pixel) of the measurement nloons: the number of balloons that provided coverage to the pixel at the given timestamp thr: the available bandwith serviceDuration: the duration of the service on the given pixel, starting from ts The file serving_loons.parquet contain the information about the available balloons flying over the area under study.