org.inria.myriads.snoozenode.util
Class MathUtils

java.lang.Object
  org.inria.myriads.snoozenode.util.MathUtils

public final class MathUtils
extends Object

Math utility.

Author:

Eugen Feller

Field Summary

static int

RESOURCE_VECTOR_SIZE Size of the resource vectors.

Method Summary

static ArrayList<Double>	addVectors(List<Double> firstVector, List<Double> secondVector) Adds two vectors.
static double	computeEuclidNorm(List<Double> values) Computes the Euclid norm.
static double	computeL1Norm(List<Double> values) Computes the L1 norm.
static double	computeMaxNorm(List<Double> values) Computes the Max norm.
static ArrayList<Double>	createCustomVector(double cpu, double memory, org.inria.myriads.snoozecommon.communication.virtualcluster.monitoring.NetworkDemand networkDemand) Creates virtual machine utilization vector.
static ArrayList<Double>	createEmptyVector() Creates and empty vector.
static ArrayList<Double>	divideVector(List<Double> vector, int divisor) Divides all values of a vector by a number.
static boolean	isCorrectDimension(List<Double> firstVector, List<Double> secondVector) Verifies the dimensions.
static double	roundDoubleValue(double value) Rounds a double value to the first two digits.
static ArrayList<Double>	substractVector(List<Double> firstVector, List<Double> secondVector) Divides all values of a vector by a number.
static boolean	vectorCompareIsGreater(List<Double> firstVector, List<Double> secondVector) Compares two vectors.
static boolean	vectorCompareIsLess(List<Double> firstVector, List<Double> secondVector) Compares two vectors.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

RESOURCE_VECTOR_SIZE

public static final int RESOURCE_VECTOR_SIZE

Size of the resource vectors.

See Also:

Constant Field Values

Method Detail

vectorCompareIsLess

public static boolean vectorCompareIsLess(List<Double> firstVector,
                                          List<Double> secondVector)

Compares two vectors.

Parameters:

firstVector - The first vector

secondVector - The second vector

Returns:

true if first is less, false otherwise

roundDoubleValue

public static double roundDoubleValue(double value)

Rounds a double value to the first two digits.

Parameters:

value - The original value

Returns:

The rounded value

vectorCompareIsGreater

public static boolean vectorCompareIsGreater(List<Double> firstVector,
                                             List<Double> secondVector)

Compares two vectors.

Parameters:

firstVector - The first vector

secondVector - The second vector

Returns:

true if first is greater, false otherwise

isCorrectDimension

public static boolean isCorrectDimension(List<Double> firstVector,
                                         List<Double> secondVector)

Verifies the dimensions.

Parameters:

firstVector - The first vector

secondVector - The second vector

Returns:

true if dimensions are ok, false otherwise

addVectors

public static ArrayList<Double> addVectors(List<Double> firstVector,
                                           List<Double> secondVector)

Adds two vectors.

Parameters:

firstVector - The first vector

secondVector - The second vector

Returns:

The new vector

divideVector

public static ArrayList<Double> divideVector(List<Double> vector,
                                             int divisor)

Divides all values of a vector by a number.

Parameters:

vector - The vector

divisor - The divisor

Returns:

The new vector

substractVector

public static ArrayList<Double> substractVector(List<Double> firstVector,
                                                List<Double> secondVector)

Divides all values of a vector by a number.

Parameters:

firstVector - The first vector

secondVector - The second vector

Returns:

The new vector

computeL1Norm

public static double computeL1Norm(List<Double> values)

Computes the L1 norm.

Parameters:

values - The data

Returns:

The L1 norm value

computeMaxNorm

public static double computeMaxNorm(List<Double> values)

Computes the Max norm.

Parameters:

values - The data

Returns:

The max norm value

createCustomVector

public static ArrayList<Double> createCustomVector(double cpu,
                                                   double memory,
                                                   org.inria.myriads.snoozecommon.communication.virtualcluster.monitoring.NetworkDemand networkDemand)

Creates virtual machine utilization vector.

Parameters:

cpu - The cpu utilization

memory - The memory usage

networkDemand - The network demand

Returns:

The vector of values

createEmptyVector

public static ArrayList<Double> createEmptyVector()

Creates and empty vector. s

Returns:

The vector of values

computeEuclidNorm

public static double computeEuclidNorm(List<Double> values)

Computes the Euclid norm.

Parameters:

values - The data

Returns:

The euclid norm value