GitHub / EsratMaria / Reinforcement-Learning_for_Energy_Minimization_Using_CLoudsim
Implementation of RL in the cloud for energy minimization due to migration and excess power consumption.
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PURL: pkg:github/EsratMaria/Reinforcement-Learning_for_Energy_Minimization_Using_CLoudsim
Stars: 27
Forks: 6
Open issues: 0
License: lgpl-3.0
Language: HTML
Size: 28.4 MB
Dependencies parsed at: Pending
Created at: over 4 years ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago
Commit Stats
Commits: 991
Authors: 1
Mean commits per author: 991.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/EsratMaria/Reinforcement-Learning_for_Energy_Minimization_Using_CLoudsim
Topics: cloudsim-simulator, cluster-computing, energy-consumption, java, machine-learning, planetlab, qlearning-algorithm, reinforcement-learning, research-project