// calculate if an App fits to a pm
// TODO: gst: use WEKA to calc fit factor!!
private int calculateFit(App app2, VirtualMachine vm) {
int output = 0;
if (Action.isOnlyLearning() == false && CreateAppInsertIntoVm.evaluation != null) {
// is free space available in the VM
if (app2.getCpu() + vm.getCurrentCpuUsage() < vm.getCurrentCpuAllocation()
&& app2.getMemory() + vm.getCurrentMemoryUsage() < vm.getCurrentMemoryAllocation()
&& app2.getStorage() + vm.getCurrentStorageUsage() < vm.getCurrentCpuAllocation()) {
Instance instance = createInstance(Instance.missingValue(), vm);
instance.setDataset(CreateAppInsertIntoVm.getKnowledgeBase());
try {
output = (int) (evaluation.evaluateModelOnce(classifier, instance) * 100);
} catch (Exception e) {
e.printStackTrace();
}
}
} else {
if (app2.getCpu() + vm.getCurrentCpuUsage() < vm.getCurrentCpuAllocation()
&& app2.getMemory() + vm.getCurrentMemoryUsage() < vm.getCurrentMemoryAllocation()
&& app2.getStorage() + vm.getCurrentStorageUsage() < vm.getCurrentCpuAllocation()) {
output = randomData.nextInt(1, 100);
}
}
return output;
}
// create an instance in the format of CreateAppInsertIntoVm.arff
// eval can either be a Instance - MissingValue or the evaluation value
private Instance createInstance(double eval, VirtualMachine vm) {
Instance instance = new Instance(64);
LinkedList<Integer> cpuallhist = vm.getCpuAllocationHistory(10);
LinkedList<Integer> cpuusehist = vm.getCpuUsageHistory(10);
LinkedList<Integer> memallhist = vm.getMemoryAllocationHistory(10);
LinkedList<Integer> memusehist = vm.getMemoryUsageHistory(10);
LinkedList<Integer> storageallhist = vm.getStorageAllocationHistory(10);
LinkedList<Integer> storageusehist = vm.getStorageUsageHistory(10);
// CPU/Memory/Storage - Allocation history before the new vm was created
for (int i = 0; i < 10; i++) {
// cpu allocation
instance.setValue(getKnowledgeBase().attribute(i), clusterValue(cpuallhist.get(i)));
// cpu usage
instance.setValue(getKnowledgeBase().attribute(i + 10), clusterValue(cpuusehist.get(i)));
// memory allocation
instance.setValue(getKnowledgeBase().attribute(i + 20), clusterValue(memallhist.get(i)));
// memory usage
instance.setValue(getKnowledgeBase().attribute(i + 30), clusterValue(memusehist.get(i)));
// storage allocation
instance.setValue(getKnowledgeBase().attribute(i + 40), clusterValue(storageallhist.get(i)));
// storage usage
instance.setValue(getKnowledgeBase().attribute(i + 50), clusterValue(storageusehist.get(i)));
}
// SLAs
// CPU
instance.setValue(getKnowledgeBase().attribute(60), clusterValue(app.getCpu()));
// Memory
instance.setValue(getKnowledgeBase().attribute(61), clusterValue(app.getMemory()));
// Storage
instance.setValue(getKnowledgeBase().attribute(62), clusterValue(app.getStorage()));
// Evaluation
instance.setValue(getKnowledgeBase().attribute(63), eval);
return instance;
}