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Cloudslab / DLSF

[TMC'20] Deep Learning based Scheduler for Stochastic Fog-Cloud computing environments
GNU General Public License v3.0
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Error when I run using both 'deepRL-alloc' & 'deepRL-sel' #10

Closed akarsh16reddy closed 2 years ago

akarsh16reddy commented 2 years ago 
Starting fastStorage\2013-8_deepRL-alloc_deepRL-sel_200`
Ran python code : ../Deep-Learning/DeepRL.py
Creating VMs...
99%
Training
DL Loss = Init Loss
0 hr 5 min - 17
Cannot invoke "String.split(String)" because "result" is null
java.lang.IndexOutOfBoundsException: Index 0 out of bounds for length 0
    at java.base/jdk.internal.util.Preconditions.outOfBounds(Preconditions.java:64)
    at java.base/jdk.internal.util.Preconditions.outOfBoundsCheckIndex(Preconditions.java:70)
    at java.base/jdk.internal.util.Preconditions.checkIndex(Preconditions.java:248)
    at java.base/java.util.Objects.checkIndex(Objects.java:359)
    at java.base/java.util.ArrayList.get(ArrayList.java:427)
    at org.cloudbus.cloudsim.power.DRLVmAllocationPolicy.getNewVmPlacement(DRLVmAllocationPolicy.java:116)
    at org.cloudbus.cloudsim.power.DRLVmAllocationPolicy.optimizeAllocation(DRLVmAllocationPolicy.java:75)
    at org.cloudbus.cloudsim.power.DRLDatacenter.updateCloudletProcessing(DRLDatacenter.java:244)
    at org.cloudbus.cloudsim.Datacenter.processEvent(Datacenter.java:252)
    at org.cloudbus.cloudsim.core.SimEntity.run(SimEntity.java:426)
    at org.cloudbus.cloudsim.core.CloudSim.runClockTick(CloudSim.java:523)
    at org.cloudbus.cloudsim.core.CloudSim.run(CloudSim.java:887)
    at org.cloudbus.cloudsim.core.CloudSim.startSimulation(CloudSim.java:188)
    at org.cloudbus.cloudsim.examples.power.DeepRL.DeepRLRunner.startDynamic(DeepRLRunner.java:198)
    at org.cloudbus.cloudsim.examples.power.DeepRL.DeepRLRunner.start(DeepRLRunner.java:96)
    at org.cloudbus.cloudsim.examples.power.RunnerAbstract.<init>(RunnerAbstract.java:96)
    at org.cloudbus.cloudsim.examples.power.DeepRL.DeepRLRunner.<init>(DeepRLRunner.java:55)
    at org.cloudbus.cloudsim.examples.power.DeepRL.DeepRLRunner.main(DeepRLRunner.java:367)

Process finished with exit code 0
shreshthtuli commented 2 years ago

Hi. This repository has been depracated. For Deep Reinforcement Learning based scheduling in simulated fog environments, please go through the new codebase here: https://github.com/imperial-qore/COSCO.