Location-Aware Container Scaling (LACS) in Geo-distributed Clouds

Datasets and code for the problem of location-aware container scaling (LACS) in geo-distributed clouds:

Randomly extracted one day’s workload from WikiBench and NASA HTTP: AppWorkload.py

Facebook subscribers by January 2020 to simulate the distribution of application requests among different user regions: FacebookUserData.csv

Sprint IP Network location as 82 user regions from 35 countries on 6 continents: SprintLocation.csv

Observation on the network latency matrix among 82 user centres: LatencyMatrix.py

Representative code using openAI's gym environment: deepscale.py