Location-Aware Container Scaling (LACS) in Geo-distributed Clouds
收藏NIAID Data Ecosystem2026-05-01 收录
下载链接：
https://zenodo.org/record/8166601
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资源简介：
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
创建时间：
2023-07-20
