本文整理汇总了Java中org.cloudbus.cloudsim.distributions.ContinuousDistribution类的典型用法代码示例。如果您正苦于以下问题:Java ContinuousDistribution类的具体用法?Java ContinuousDistribution怎么用?Java ContinuousDistribution使用的例子?那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
ContinuousDistribution类属于org.cloudbus.cloudsim.distributions包,在下文中一共展示了ContinuousDistribution类的15个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: setAvgSeekTime
import org.cloudbus.cloudsim.distributions.ContinuousDistribution; //导入依赖的package包/类
/**
* Sets the average seek time and a new generator of seek times in seconds. The generator
* determines a randomized seek time.
*
* @param seekTime the average seek time in seconds
* @param gen the ContinuousGenerator which generates seek times
* @return <tt>true</tt> if the setting succeeded, <tt>false</tt> otherwise
*/
public boolean setAvgSeekTime(double seekTime, ContinuousDistribution gen) {
if (seekTime <= 0.0) {
return false;
}
avgSeekTime = seekTime;
this.gen = gen;
return true;
}
示例2: changeMiBaseline
import org.cloudbus.cloudsim.distributions.ContinuousDistribution; //导入依赖的package包/类
private void changeMiBaseline() {
double mean = 1d;
double dev = Parameters.cpuDynamicsCV;
ContinuousDistribution dist = Parameters.getDistribution(Parameters.cpuDynamicsDistribution, mean, Parameters.cpuDynamicsAlpha, Parameters.cpuDynamicsBeta,
dev, Parameters.cpuDynamicsShape, Parameters.cpuDynamicsLocation, Parameters.cpuDynamicsShift, Parameters.cpuDynamicsMin, Parameters.cpuDynamicsMax,
Parameters.cpuDynamicsPopulation);
miCurrentBaseline = 0;
while (miCurrentBaseline <= 0) {
miCurrentBaseline = dist.sample();
}
}
示例3: changeIoBaseline
import org.cloudbus.cloudsim.distributions.ContinuousDistribution; //导入依赖的package包/类
private void changeIoBaseline() {
double mean = 1d;
double dev = Parameters.ioDynamicsCV;
ContinuousDistribution dist = Parameters.getDistribution(Parameters.ioDynamicsDistribution, mean, Parameters.ioDynamicsAlpha, Parameters.ioDynamicsBeta,
dev, Parameters.ioDynamicsShape, Parameters.ioDynamicsLocation, Parameters.ioDynamicsShift, Parameters.ioDynamicsMin, Parameters.ioDynamicsMax,
Parameters.ioDynamicsPopulation);
ioCurrentBaseline = 0;
while (ioCurrentBaseline <= 0) {
ioCurrentBaseline = dist.sample();
}
}
示例4: changeBwBaseline
import org.cloudbus.cloudsim.distributions.ContinuousDistribution; //导入依赖的package包/类
private void changeBwBaseline() {
double mean = 1d;
double dev = Parameters.bwDynamicsCV;
ContinuousDistribution dist = Parameters.getDistribution(Parameters.bwDynamicsDistribution, mean, Parameters.bwDynamicsAlpha, Parameters.bwDynamicsBeta,
dev, Parameters.bwDynamicsShape, Parameters.bwDynamicsLocation, Parameters.bwDynamicsShift, Parameters.bwDynamicsMin, Parameters.bwDynamicsMax,
Parameters.bwDynamicsPopulation);
bwCurrentBaseline = 0;
while (bwCurrentBaseline <= 0) {
bwCurrentBaseline = dist.sample();
}
}
示例5: createCloudletPesArray
import org.cloudbus.cloudsim.distributions.ContinuousDistribution; //导入依赖的package包/类
/**
* Creates an array with the configuration of PEs for each Cloudlet to be
* created in each experiment run. Every experiment will use the same
* Cloudlets configurations.
*
* @return the created cloudlet PEs array
*/
private int[] createCloudletPesArray() {
int[] pesArray = new int[CLOUDLETS_TO_CREATE];
int totalNumberOfPes = 0;
final ContinuousDistribution random = new NormalDistr(getBaseSeed(), 2, 0.6);
for (int i = 0; i < CLOUDLETS_TO_CREATE; i++) {
pesArray[i] = (int) random.sample() + 1;
totalNumberOfPes += pesArray[i];
}
return pesArray;
}
示例6: createExperiment
import org.cloudbus.cloudsim.distributions.ContinuousDistribution; //导入依赖的package包/类
@Override
protected DatacenterBrokerHeuristicExperiment createExperiment(int i) {
final ContinuousDistribution prng = createRandomGen(i, 0, 1);
final DatacenterBrokerHeuristicExperiment exp
= new DatacenterBrokerHeuristicExperiment(i, this)
.setRandomGen(prng)
.setCloudletPesArray(cloudletPesArray)
.setVmPesArray(vmPesArray);
exp.setVerbose(experimentVerbose).setAfterExperimentFinish(this::afterExperimentFinish);
return exp;
}
示例7: createExperiment
import org.cloudbus.cloudsim.distributions.ContinuousDistribution; //导入依赖的package包/类
@Override
protected CloudletSchedulerTimeSharedExperiment createExperiment(int i) {
final ContinuousDistribution cloudletPesPrng = createRandomGen(i, 1, MAX_CLOUDLET_PES);
final CloudletSchedulerTimeSharedExperiment exp = new CloudletSchedulerTimeSharedExperiment(i, this);
exp
.setCloudletPesPrng(cloudletPesPrng)
.setNumCloudletsToCreate((int) getCloudletsNumberPrng().sample())
.setAfterExperimentFinish(this::afterExperimentFinish)
.setVerbose(false);
return exp;
}
示例8: createExperiment
import org.cloudbus.cloudsim.distributions.ContinuousDistribution; //导入依赖的package包/类
@Override
protected CompletelyFairSchedulerExperiment createExperiment(int i) {
final ContinuousDistribution cloudletPesPrng = createRandomGen(i, 1, MAX_CLOUDLET_PES);
final CompletelyFairSchedulerExperiment exp = new CompletelyFairSchedulerExperiment(i, this);
exp
.setCloudletPesPrng(cloudletPesPrng)
.setNumCloudletsToCreate((int) getCloudletsNumberPrng().sample())
.setAfterExperimentFinish(this::afterExperimentFinish)
.setVerbose(false);
return exp;
}
示例9: createExperiment
import org.cloudbus.cloudsim.distributions.ContinuousDistribution; //导入依赖的package包/类
@Override
protected CloudletTaskTimeCompletionWorkLoadWithoutMinimizationExperiment createExperiment(int i) {
ContinuousDistribution randCloudlet = createRandomGen(i);
ContinuousDistribution randVm = createRandomGen(i);
CloudletTaskTimeCompletionWorkLoadWithoutMinimizationExperiment exp
= new CloudletTaskTimeCompletionWorkLoadWithoutMinimizationExperiment(i, this);
exp.setVerbose(experimentVerbose).setAfterExperimentFinish(this::afterExperimentFinish);
return exp;
}
开发者ID:manoelcampos,项目名称:cloudsim-plus,代码行数:10,代码来源:CloudletTaskTimeCompletionWorkLoadWithoutMinimizationRunner.java
示例10: createExperiment
import org.cloudbus.cloudsim.distributions.ContinuousDistribution; //导入依赖的package包/类
@Override
protected CloudletTaskTimeCompletionWithoutMinimizationExperiment createExperiment(int i) {
CloudletTaskTimeCompletionWithoutMinimizationExperiment exp
= new CloudletTaskTimeCompletionWithoutMinimizationExperiment(i, this);
ContinuousDistribution randCloudlet = createRandomGen(i);
ContinuousDistribution randVm = createRandomGen(i);
exp.setVerbose(experimentVerbose).setAfterExperimentFinish(this::afterExperimentFinish);
return exp;
}
开发者ID:manoelcampos,项目名称:cloudsim-plus,代码行数:10,代码来源:CloudletTaskTimeCompletionWithoutMinimizationRunner.java
示例11: createExperiment
import org.cloudbus.cloudsim.distributions.ContinuousDistribution; //导入依赖的package包/类
@Override
protected CloudletTaskTimeCompletionWorkLoadMinimizationExperiment createExperiment(int i) {
CloudletTaskTimeCompletionWorkLoadMinimizationExperiment exp
= new CloudletTaskTimeCompletionWorkLoadMinimizationExperiment(i, this);
ContinuousDistribution randCloudlet = createRandomGen(i);
ContinuousDistribution randVm = createRandomGen(i);
ContinuousDistribution randMips = createRandomGen(i);
exp.setVerbose(experimentVerbose).setAfterExperimentFinish(this::afterExperimentFinish);
return exp;
}
开发者ID:manoelcampos,项目名称:cloudsim-plus,代码行数:12,代码来源:CloudletTaskTimeCompletionWorkLoadMinimizationRunner.java
示例12: createExperiment
import org.cloudbus.cloudsim.distributions.ContinuousDistribution; //导入依赖的package包/类
@Override
protected CloudletTaskTimeCompletionMinimizationExperiment createExperiment(int i) {
CloudletTaskTimeCompletionMinimizationExperiment exp
= new CloudletTaskTimeCompletionMinimizationExperiment(i, this);
ContinuousDistribution randCloudlet = createRandomGen(i);
ContinuousDistribution randVm = createRandomGen(i);
ContinuousDistribution randCloudletPes = createRandomGen(i);
ContinuousDistribution randMips = createRandomGen(i);
exp.setVerbose(experimentVerbose)
.setAfterExperimentFinish(this::afterExperimentFinish);
return exp;
}
开发者ID:manoelcampos,项目名称:cloudsim-plus,代码行数:14,代码来源:CloudletTaskTimeCompletionMinimizationRunner.java
示例13: HeuristicAbstract
import org.cloudbus.cloudsim.distributions.ContinuousDistribution; //导入依赖的package包/类
/**
* Creates a heuristic.
*
* @param random a random number generator
* @param solutionClass reference to the generic class that will be used to instantiate heuristic solutions
*/
HeuristicAbstract(ContinuousDistribution random, Class<S> solutionClass){
this.solutionClass = solutionClass;
this.random = random;
this.numberOfNeighborhoodSearchesByIteration = 1;
setBestSolutionSoFar(newSolutionInstance());
setNeighborSolution(bestSolutionSoFar);
}
示例14: setAvgSeekTime
import org.cloudbus.cloudsim.distributions.ContinuousDistribution; //导入依赖的package包/类
/**
* Sets the average seek time and a new generator of seek times in seconds. The generator
* determines a randomized seek time.
*
* @param seekTime the average seek time in seconds
* @param gen the ContinuousGenerator which generates seek times
* @return <tt>true</tt> if the values is greater than zero and was set successfully,
* <tt>false</tt> otherwise
*/
public boolean setAvgSeekTime(final double seekTime, final ContinuousDistribution gen) {
if (seekTime <= 0.0) {
return false;
}
avgSeekTime = seekTime;
this.gen = gen;
return true;
}
示例15: testSetAvgSeekTime
import org.cloudbus.cloudsim.distributions.ContinuousDistribution; //导入依赖的package包/类
/**
* Private method called by the overloaded versions of the
* setAvgSeekTime method.
* @param gen A random number generator. The parameter can be
* null in order to use the simpler version of the setAvgSeekTime.
*/
private void testSetAvgSeekTime(ContinuousDistribution gen) {
final HarddriveStorage instance = createHardDrive();
final double seekTime = 1;
assertTrue(setAvgSeekTime(instance, seekTime, gen));
assertEquals(seekTime, instance.getAvgSeekTime(), 0);
assertFalse(setAvgSeekTime(instance, 0, gen));
assertEquals(seekTime, instance.getAvgSeekTime(), 0);
assertFalse(setAvgSeekTime(instance, -1, gen));
assertEquals(seekTime, instance.getAvgSeekTime(), 0);
}