Location-Aware Container Scaling (LACS) in Geo-distributed Clouds
收藏数据链接：
官方服务：
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
提供机构：
Zenodo创建时间：
2023-07-20
