/*
* Title: CloudSim Toolkit
* Description: CloudSim (Cloud Simulation) Toolkit for Modeling and Simulation of Clouds
* Licence: GPL - http://www.gnu.org/copyleft/gpl.html
*
* Copyright (c) 2009-2012, The University of Melbourne, Australia
*/
package org.cloudbus.cloudsim.power;
import java.util.List;
import org.cloudbus.cloudsim.Host;
import org.cloudbus.cloudsim.Vm;
import org.cloudbus.cloudsim.util.MathUtil;
/**
* The Local Regression (LR) VM allocation policy.
*
* If you are using any algorithms, policies or workload included in the power package, please cite
* the following paper:
*
* Anton Beloglazov, and Rajkumar Buyya, "Optimal Online Deterministic Algorithms and Adaptive
* Heuristics for Energy and Performance Efficient Dynamic Consolidation of Virtual Machines in
* Cloud Data Centers", Concurrency and Computation: Practice and Experience (CCPE), Volume 24,
* Issue 13, Pages: 1397-1420, John Wiley & Sons, Ltd, New York, USA, 2012
*
* @author Anton Beloglazov
* @since CloudSim Toolkit 3.0
*/
public class PowerVmAllocationPolicyMigrationLocalRegression extends PowerVmAllocationPolicyMigrationAbstract {
/** The scheduling interval. */
private double schedulingInterval;
/** The safety parameter. */
private double safetyParameter;
/** The fallback vm allocation policy. */
private PowerVmAllocationPolicyMigrationAbstract fallbackVmAllocationPolicy;
/**
* Instantiates a new power vm allocation policy migration local regression.
*
* @param hostList the host list
* @param vmSelectionPolicy the vm selection policy
* @param schedulingInterval the scheduling interval
* @param fallbackVmAllocationPolicy the fallback vm allocation policy
* @param utilizationThreshold the utilization threshold
*/
public PowerVmAllocationPolicyMigrationLocalRegression(
List<? extends Host> hostList,
PowerVmSelectionPolicy vmSelectionPolicy,
double safetyParameter,
double schedulingInterval,
PowerVmAllocationPolicyMigrationAbstract fallbackVmAllocationPolicy,
double utilizationThreshold) {
super(hostList, vmSelectionPolicy);
setSafetyParameter(safetyParameter);
setSchedulingInterval(schedulingInterval);
setFallbackVmAllocationPolicy(fallbackVmAllocationPolicy);
}
/**
* Instantiates a new power vm allocation policy migration local regression.
*
* @param hostList the host list
* @param vmSelectionPolicy the vm selection policy
* @param schedulingInterval the scheduling interval
* @param fallbackVmAllocationPolicy the fallback vm allocation policy
*/
public PowerVmAllocationPolicyMigrationLocalRegression(
List<? extends Host> hostList,
PowerVmSelectionPolicy vmSelectionPolicy,
double safetyParameter,
double schedulingInterval,
PowerVmAllocationPolicyMigrationAbstract fallbackVmAllocationPolicy) {
super(hostList, vmSelectionPolicy);
setSafetyParameter(safetyParameter);
setSchedulingInterval(schedulingInterval);
setFallbackVmAllocationPolicy(fallbackVmAllocationPolicy);
}
/**
* Checks if is host over utilized.
*
* @param host the host
* @return true, if is host over utilized
*/
@Override
protected boolean isHostOverUtilized(PowerHost host) {
PowerHostUtilizationHistory _host = (PowerHostUtilizationHistory) host;
double[] utilizationHistory = _host.getUtilizationHistory();
int length = 10; // we use 10 to make the regression responsive enough to latest values
if (utilizationHistory.length < length) {
return getFallbackVmAllocationPolicy().isHostOverUtilized(host);
}
double[] utilizationHistoryReversed = new double[length];
for (int i = 0; i < length; i++) {
utilizationHistoryReversed[i] = utilizationHistory[length - i - 1];
}
double[] estimates = null;
try {
estimates = getParameterEstimates(utilizationHistoryReversed);
} catch (IllegalArgumentException e) {
return getFallbackVmAllocationPolicy().isHostOverUtilized(host);
}
double migrationIntervals = Math.ceil(getMaximumVmMigrationTime(_host) / getSchedulingInterval());
double predictedUtilization = estimates[0] + estimates[1] * (length + migrationIntervals);
predictedUtilization *= getSafetyParameter();
addHistoryEntry(host, predictedUtilization);
return predictedUtilization >= 1;
}
/**
* Gets the parameter estimates.
*
* @param utilizationHistoryReversed the utilization history reversed
* @return the parameter estimates
*/
protected double[] getParameterEstimates(double[] utilizationHistoryReversed) {
return MathUtil.getLoessParameterEstimates(utilizationHistoryReversed);
}
/**
* Gets the maximum vm migration time.
*
* @param host the host
* @return the maximum vm migration time
*/
protected double getMaximumVmMigrationTime(PowerHost host) {
int maxRam = Integer.MIN_VALUE;
for (Vm vm : host.getVmList()) {
int ram = vm.getRam();
if (ram > maxRam) {
maxRam = ram;
}
}
return maxRam / ((double) host.getBw() / (2 * 8000));
}
/**
* Sets the scheduling interval.
*
* @param schedulingInterval the new scheduling interval
*/
protected void setSchedulingInterval(double schedulingInterval) {
this.schedulingInterval = schedulingInterval;
}
/**
* Gets the scheduling interval.
*
* @return the scheduling interval
*/
protected double getSchedulingInterval() {
return schedulingInterval;
}
/**
* Sets the fallback vm allocation policy.
*
* @param fallbackVmAllocationPolicy the new fallback vm allocation policy
*/
public void setFallbackVmAllocationPolicy(
PowerVmAllocationPolicyMigrationAbstract fallbackVmAllocationPolicy) {
this.fallbackVmAllocationPolicy = fallbackVmAllocationPolicy;
}
/**
* Gets the fallback vm allocation policy.
*
* @return the fallback vm allocation policy
*/
public PowerVmAllocationPolicyMigrationAbstract getFallbackVmAllocationPolicy() {
return fallbackVmAllocationPolicy;
}
public double getSafetyParameter() {
return safetyParameter;
}
public void setSafetyParameter(double safetyParameter) {
this.safetyParameter = safetyParameter;
}
}