import org.apache.commons.math3.distribution.ParetoDistribution; //导入依赖的package包/类
public void generateVMsRandom(int totalVmNum) {
	int vmCount = 0;
	double lastStartTime = 0;
	
	double startMean = 1800; // sec = 30min
	double durScale=14400; // sec = 4 hours
	double durShape=1.2;
	
	Random rVmNum = new Random(seed);
	ExponentialDistribution rStartTime = new ExponentialDistribution(new Well19937c(seed), startMean, ExponentialDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);	
	ParetoDistribution rDuration = new ParetoDistribution(new Well19937c(seed), durScale, durShape);
	
	while(vmCount < totalVmNum) {
		int vmsInGroup = rVmNum.nextInt(4)+2;
		double duration = Math.floor(rDuration.sample());
		
		vmGenerator.generateVMGroup(vmsInGroup, lastStartTime, lastStartTime+duration, null);
		lastStartTime += Math.floor(rStartTime.sample());
		
		vmCount += vmsInGroup;
		
	}
}
 

import org.apache.commons.math3.distribution.ParetoDistribution; //导入依赖的package包/类
public List<VMSpec> generateVMs(int totalVmNum) {
	double lastStartTime = 0;
	
	double startMean = 1800; // sec = 30min
	double durScale=14400; // sec = 4 hours
	double durShape=1.2;
	
	Random rVmNum = new Random(seed);
	ExponentialDistribution rStartTime = new ExponentialDistribution(new Well19937c(seed), startMean, ExponentialDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);	
	ParetoDistribution rDuration = new ParetoDistribution(new Well19937c(seed), durScale, durShape);
	
	List<VMSpec> vms = new ArrayList<VMSpec>();

	while(this.vmId < totalVmNum) {
		int vmsInGroup = rVmNum.nextInt(4)+2;
		double duration = Math.floor(rDuration.sample());
		
		vms.addAll(generateVMGroup(vmsInGroup, lastStartTime, lastStartTime+duration));
		lastStartTime += Math.floor(rStartTime.sample());
	}
	
	return vms;
}
 

import org.apache.commons.math3.distribution.ParetoDistribution; //导入依赖的package包/类
public void generateVMsRandom(int totalVmNum) {
	int vmCount = 0;
	double lastStartTime = 0;
	
	double startMean = 1800; // sec = 30min
	double durScale=14400; // sec = 4 hours
	double durShape=1.2;
	
	Random rVmNum = new Random(seed);
	ExponentialDistribution rStartTime = new ExponentialDistribution(new Well19937c(seed), startMean, ExponentialDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY);	
	ParetoDistribution rDuration = new ParetoDistribution(new Well19937c(seed), durScale, durShape);
	
	int vmGroup=0;
	while(vmCount < totalVmNum) {
		int vmsInGroup = rVmNum.nextInt(4)+2;
		double duration = Math.floor(rDuration.sample());
		
		vmGenerator.generateVMGroup(vmsInGroup, lastStartTime, lastStartTime+duration, null, vmGroup, -1);
		lastStartTime += Math.floor(rStartTime.sample());
		
		vmCount += vmsInGroup;
		vmGroup++;			
	}
}
 

import org.apache.commons.math3.distribution.ParetoDistribution; //导入依赖的package包/类
@Override
public RandomNumberDistribution<Double> getPareto(
		final RandomNumberStream rng, final Number scale, final Number shape)
{
	final RealDistribution dist = new ParetoDistribution(
			RandomNumberStream.Util.asCommonsRandomGenerator(rng),
			scale.doubleValue(), shape.doubleValue());
	return new RandomNumberDistribution<Double>()
	{
		@Override
		public Double draw()
		{
			return dist.sample();
		}
	};
}
 

import org.apache.commons.math3.distribution.ParetoDistribution; //导入依赖的package包/类
/**
 * Instantiates a new Pareto pseudo random number generator.
 *
 * @param seed the seed
 * @param shape the shape
 * @param location the location
 */
public ParetoDistr(long seed, double shape, double location) {
    super(new ParetoDistribution(location, shape), seed);
}