Commit ea31eb0e authored by Manoel Campos's avatar Manoel Campos

Improved documentation of classes from package org.cloudbus.cloudsim.util.

parent a2543cff
......@@ -86,7 +86,7 @@ public class Cloudlet {
private int reservationId = -1;
/** Indicates if transaction history records for this Cloudlet
* it to be outputted. */
* is to be outputted. */
private final boolean record;
/** Stores the operating system line separator. */
......@@ -1015,7 +1015,7 @@ public class Cloudlet {
/**
* Gets the total length (across all PEs) of this Cloudlet.
* It considers the {@link #cloudletLength} of the cloudlet to be execute
* It considers the {@link #cloudletLength} of the cloudlet to be executed
* in each Pe and the {@link #numberOfPes}.<br/>
*
* For example, setting the cloudletLenght as 10000 MI and {@link #numberOfPes}
......
......@@ -12,30 +12,44 @@ import java.util.HashMap;
import java.util.Map;
/**
* The class for measuring the execution time.
* Measurement of execution times of CloudSim's methods.
*
* @author Anton Beloglazov
* @since CloudSim Toolkit 3.0
*/
public class ExecutionTimeMeasurer {
/** The execution times. */
/** A map of execution times where each key
* represents the name of the method/process being its
* execution time computed and each key is the
* time the method/process started (in milliseconds).
* Usually, this name is the method/process name, making
* easy to identify the execution times into the map.
*
* @todo The name of the attribute doesn't match with what it stores.
* It in fact stores the method/process start time,
* no the time it spent executing.
*/
private final static Map<String, Long> executionTimes = new HashMap<String, Long>();
/**
* Start.
* Start measuring the execution time of a method/process.
* Usually this method has to be called at the first line of the method
* that has to be its execution time measured.
*
* @param name the name
* @param name the name of the method/process being measured.
* @see #executionTimes
*/
public static void start(String name) {
getExecutionTimes().put(name, System.currentTimeMillis());
}
/**
* End.
* Finalizes measuring the execution time of a method/process.
*
* @param name the name
* @return the double
* @param name the name of the method/process being measured.
* @see #executionTimes
* @return the time the method/process spent in execution (in seconds)
*/
public static double end(String name) {
double time = (System.currentTimeMillis() - getExecutionTimes().get(name)) / 1000.0;
......@@ -44,9 +58,10 @@ public class ExecutionTimeMeasurer {
}
/**
* Gets the execution times.
* Gets map the execution times.
*
* @return the execution times
* @return the execution times map
* @see #executionTimes
*/
public static Map<String, Long> getExecutionTimes() {
return executionTimes;
......
......@@ -20,13 +20,14 @@ import org.apache.commons.math3.stat.regression.SimpleRegression;
*
* @author Anton Beloglazov
* @since CloudSim Toolkit 3.0
* @todo Using Java 8 Stream, some methods here can be improved or removed.
*/
public class MathUtil {
/**
* Sums a list of numbers.
*
* @param list the list
* @param list the list of numbers
* @return the double
*/
public static double sum(final List<? extends Number> list) {
......@@ -38,10 +39,12 @@ public class MathUtil {
}
/**
* List to array.
* Converts a List to array.
*
* @param list the list
* @param list the list of numbers
* @return the double[]
* @todo The method {@link List#toArray()} could be used directly
* instead of creating this method.
*/
public static double[] listToArray(final List<? extends Number> list) {
double[] array = new double[list.size()];
......@@ -52,9 +55,9 @@ public class MathUtil {
}
/**
* Gets the median.
* Gets the median from a list of numbers.
*
* @param list the list
* @param list the list of numbers
* @return the median
*/
public static double median(final List<Double> list) {
......@@ -62,9 +65,9 @@ public class MathUtil {
}
/**
* Gets the median.
* Gets the median from an array of numbers.
*
* @param list the list
* @param list the array of numbers
*
* @return the median
*/
......@@ -73,11 +76,10 @@ public class MathUtil {
}
/**
* Returns descriptive statistics for the list of numbers.
* Returns an object to compute descriptive statistics for an list of numbers.
*
* @param list
* - the list of numbers. Must not be null.
* @return - descriptive statistics for the list of numbers.
* @param list the list of numbers. Must not be null.
* @return descriptive statistics for the list of numbers.
*/
public static DescriptiveStatistics getStatistics(final List<Double> list) {
// Get a DescriptiveStatistics instance
......@@ -91,10 +93,10 @@ public class MathUtil {
}
/**
* Returns descriptive statistics for the array of numbers.
* Returns an object to compute descriptive statistics for an array of numbers.
*
* @param list - the array of numbers. Must not be null.
* @return - descriptive statistics for the array of numbers.
* @param list the array of numbers. Must not be null.
* @return descriptive statistics for the array of numbers.
*/
public static DescriptiveStatistics getStatistics(final double[] list) {
// Get a DescriptiveStatistics instance
......@@ -108,9 +110,9 @@ public class MathUtil {
}
/**
* Gets the average.
* Gets the average from a list of numbers.
*
* @param list the list
* @param list the list of numbers
*
* @return the average
*/
......@@ -123,10 +125,10 @@ public class MathUtil {
}
/**
* Variance.
* Gets the Variance from a list of numbers.
*
* @param list the list
* @return the double
* @param list the list of numbers
* @return the variance
*/
public static double variance(final List<Double> list) {
long n = 0;
......@@ -145,19 +147,19 @@ public class MathUtil {
}
/**
* Gets the standard deviation.
* Gets the standard deviation from a list of numbers.
*
* @param list the list
* @return the double
* @param list the list of numbers
* @return the standard deviation
*/
public static double stDev(final List<Double> list) {
return Math.sqrt(variance(list));
}
/**
* Gets the mad.
* Gets the mad from a array of numbers.
*
* @param data the data
* @param data the array of numbers
* @return the mad
*/
public static double mad(final double[] data) {
......@@ -174,9 +176,9 @@ public class MathUtil {
}
/**
* Gets the IQR.
* Gets the Interquartile Range (IQR) from an array of numbers.
*
* @param data the data
* @param data the array of numbers
* @return the IQR
*/
public static double iqr(final double[] data) {
......@@ -187,10 +189,11 @@ public class MathUtil {
}
/**
* Count non zero beginning of the data.
* Counts the number of values different of zero at the beginning of
* an array.
*
* @param data the data
* @return the int
* @param data the array of numbers
* @return the number of values different of zero at the beginning of the array
*/
public static int countNonZeroBeginning(final double[] data) {
int i = data.length - 1;
......@@ -203,10 +206,10 @@ public class MathUtil {
}
/**
* Count shortest row.
* Gets the length of the shortest row in a given matrix
*
* @param data the data
* @return the int
* @param data the data matrix
* @return the length of the shortest row int he matrix
*/
public static int countShortestRow(final double[][] data) {
int minLength = 0;
......@@ -219,10 +222,10 @@ public class MathUtil {
}
/**
* Trim zero tail.
* Trims zeros at the end of an array.
*
* @param data the data
* @return the double[]
* @param data the data array
* @return the trimmed array
*/
public static double[] trimZeroTail(final double[] data) {
return Arrays.copyOfRange(data, 0, countNonZeroBeginning(data));
......@@ -231,7 +234,7 @@ public class MathUtil {
/**
* Gets the loess parameter estimates.
*
* @param y the y
* @param y the y array
* @return the loess parameter estimates
*/
public static double[] getLoessParameterEstimates(final double[] y) {
......@@ -291,7 +294,7 @@ public class MathUtil {
/**
* Gets the robust loess parameter estimates.
*
* @param y the y
* @param y the y array
* @return the robust loess parameter estimates
*/
public static double[] getRobustLoessParameterEstimates(final double[] y) {
......@@ -318,10 +321,11 @@ public class MathUtil {
}
/**
* Gets the tricube weigts.
* Gets the tricube weigths.
*
* @param n the n
* @return the tricube weigts
* @param n the number of weights
* @return an array of tricube weigths with n elements
* @todo The word "weight" is misspelled in the method name.
*/
public static double[] getTricubeWeigts(final int n) {
double[] weights = new double[n];
......@@ -340,10 +344,11 @@ public class MathUtil {
}
/**
* Gets the tricube bisquare weigts.
* Gets the tricube bisquare weigths.
*
* @param residuals the residuals
* @return the tricube bisquare weigts
* @param residuals the residuals array
* @return the tricube bisquare weigths
* @todo The word "weight" is misspelled in the method name.
*/
public static double[] getTricubeBisquareWeigts(final double[] residuals) {
int n = residuals.length;
......@@ -363,10 +368,10 @@ public class MathUtil {
}
/**
* Abs.
* Gets the absolute values of an array of values
*
* @param data the data
* @return the double[]
* @param data the array of values
* @return a new array with the absolute value of each element in the given array.
*/
public static double[] abs(final double[] data) {
double[] result = new double[data.length];
......
......@@ -13,8 +13,8 @@ import java.util.List;
import org.cloudbus.cloudsim.Cloudlet;
/**
* This interface defines what a workload model should provide. A workload model generates a list of
* jobs that can be dispatched to a resource by {@link Workload}.
* Defines what a workload model should provide. A workload model generates a list of
* jobs ({@link Cloudlet Cloudlets}) that can be dispatched to a resource by {@link Workload}.
*
* @author Marcos Dias de Assuncao
* @since 5.0
......@@ -25,9 +25,9 @@ import org.cloudbus.cloudsim.Cloudlet;
public interface WorkloadModel {
/**
* Returns a list with the jobs generated by the workload.
* Generates a list of jobs to be executed ({@link Cloudlet Cloudlets}).
*
* @return a list with the jobs generated by the workload.
* @return a list with the jobs generated by the workload or null in case of failure.
*/
List<Cloudlet> generateWorkload();
......
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