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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.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EsratMaria%2FReinforcement-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: about 4 years ago
Updated at: about 1 year ago
Pushed at: about 1 year ago
Last synced at: about 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

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