esratmaria / reinforcement-learning_for_energy_minimization_using_cloudsim Goto Github PK

Implementation of RL in the cloud for energy minimization due to migration and excess power consumption.

License: GNU Lesser General Public License v3.0

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reinforcement-learning qlearning-algorithm cloudsim-simulator energy-consumption machine-learning java research-project cluster-computing planetlab

reinforcement-learning_for_energy_minimization_using_cloudsim's People

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wym-king deiudeshommies sidahmedm roderickli ruoshuishui distributeddeeplearning

reinforcement-learning_for_energy_minimization_using_cloudsim's Issues

Paper consultation

Hello, I would like to ask if the code can run out of the rendering in the paper?

Qlearning Scheduling ->Cloudlet list is not printing

Starting Q Learning...
Initialising...
[-0.81, 0.0, -0.81, 0.0, 0.9]
[-0.81, 0.0, -0.81, 0.0, 0.9]
[-0.81, 0.0, -0.81, 0.0, 0.9]
[-0.81, 0.0, -0.81, 0.0, 0.9]

[[0, 1, -1, 1, 1], [0, 1, -1, 1, 0], [0, 1, 0, 1, 1], [1, 1, 0, 1, 1]]

[0.9, -0.981, 0.9, 0.0, 0.0]
[0.9, -0.981, 0.9, 0.0, 0.0]
[0.9, -0.981, 0.9, 0.0, 0.0]
[0.9, -0.981, 0.9, 0.0, 0.0]
[-0.81, 0.0, -0.81, 0.0, 0.9]
[-0.81, 0.0, -0.81, 0.0, 0.9]
[-0.81, 0.0, -0.81, 0.0, 0.9]
[-0.81, 0.0, -0.81, 0.0, 0.9]

[[1, -1, 1, 1, 1], [1, -2, 1, 1, 1], [0, -2, 1, 1, 1], [1, 0, 1, 1, 1], [0, 1, -1, 1, 1], [0, 1, -1, 1, 0], [0, 1, 0, 1, 1], [1, 1, 0, 1, 1]]

[0.0, -8.189999999999996E-4, 0.0, 0.0, 0.0]
[0.0, -8.189999999999996E-4, 0.0, 0.0, 0.0]
[0.9, -0.981, 0.9, 0.0, 0.0]
[0.0, -8.189999999999996E-4, 0.0, 0.0, 0.0]
[0.0, -8.189999999999996E-4, 0.0, 0.0, 0.0]
[-0.81, 0.0, -0.81, 0.0, 0.9]
[-0.81, 0.0, -0.81, 0.0, 0.9]
[-0.81, 0.0, -0.81, 0.0, 0.9]
[-0.81, 0.0, -0.81, 0.0, 0.9]

[[1, -1, 1, 1, 1], [1, -2, 1, 1, 1], [0, -2, 1, 1, 1], [1, 0, 1, 1, 1], [1, -3, 1, 1, 1], [0, 1, -1, 1, 1], [0, 1, -1, 1, 0], [0, 1, 0, 1, 1], [1, 1, 0, 1, 1]]

process is not finishing

Paper consultation

Hello, I would like to ask which part of the code in the heuristic algorithm in the paper

Code consultation

Hello, I'm glad to see your code. I'm very interested in it. Do you have a corresponding paper? Can you explain your use environment?
thank you!

Q learning Scheduling is not working

create two datacenters

Hello, i created 2 datacenter but the tasks are executed just in 1 datacenter. how can we run it in both.
PS : this info doesn't exist on your paper.
Thank you.

Hi again,
we were working on energy calculation, we tried same taking utilization and getpower( ), but its giving 0 consumption even after using fixed threshold value for utilization for our low medium high datacentre. any tips