org.ow2.proactive.topology.descriptor

Class BestProximityDescriptor

java.lang.Object

org.ow2.proactive.topology.descriptor.TopologyDescriptor

org.ow2.proactive.topology.descriptor.BestProximityDescriptor

All Implemented Interfaces:

Serializable

Direct Known Subclasses:

ThresholdProximityDescriptor

@PublicAPI
public class BestProximityDescriptor
extends TopologyDescriptor

The descriptor allows to select a set of closest nodes which is currently available in the resource manager. In order to specify more precisely what "closets" means user may select various distance functions (for details see http://en.wikipedia.org/wiki/Cluster_analysis#Agglomerative_hierarchical_clustering) AVG - the mean distance between elements of each cluster (also called average linkage clustering). MAX - the maximum distance between elements of each cluster (also called complete linkage clustering). MIN - the minimum distance between elements of each cluster (also called single-linkage clustering).

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
static DistanceFunction	AVG AVG - the mean distance between elements of each cluster (also called average linkage clustering) The similarity of two clusters is the similarity of their centers.
protected DistanceFunction	function
static DistanceFunction	MAX MAX - the maximum distance between elements of each cluster (also called complete linkage clustering) The similarity of two clusters is the similarity of their most dissimilar members.
static DistanceFunction	MIN MIN - the minimum distance between elements of each cluster (also called single-linkage clustering) The similarity of two clusters is the similarity of their most similar members.

Fields inherited from class org.ow2.proactive.topology.descriptor.TopologyDescriptor

ARBITRARY, BEST_PROXIMITY, DIFFERENT_HOSTS_EXCLUSIVE, MULTIPLE_HOSTS_EXCLUSIVE, SINGLE_HOST, SINGLE_HOST_EXCLUSIVE

Constructor Summary

Constructors

Constructor and Description
BestProximityDescriptor() Constructs new instance of the class.

Method Summary

Modifier and Type	Method and Description
DistanceFunction	getDistanceFunction() Gets the distance function.

Methods inherited from class org.ow2.proactive.topology.descriptor.TopologyDescriptor

isTopologyBased, toString

Methods inherited from class java.lang.Object

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

Field Detail

function

protected DistanceFunction function

AVG

public static final DistanceFunction AVG

AVG - the mean distance between elements of each cluster (also called average linkage clustering) The similarity of two clusters is the similarity of their centers. This complete-link merge criterion is non-local; the entire structure of the clustering can influence merge decisions.

MAX

public static final DistanceFunction MAX

MAX - the maximum distance between elements of each cluster (also called complete linkage clustering) The similarity of two clusters is the similarity of their most dissimilar members. This complete-link merge criterion is non-local; the entire structure of the clustering can influence merge decisions.

MIN

public static final DistanceFunction MIN

MIN - the minimum distance between elements of each cluster (also called single-linkage clustering) The similarity of two clusters is the similarity of their most similar members. This single-link merge criterion is local. We pay attention solely to the area where the two clusters come closest to each other.

Constructor Detail

BestProximityDescriptor

public BestProximityDescriptor()

Constructs new instance of the class. In this case the function for clustering is BestProximityDescriptor.MAX, pivot is empty.

Method Detail

getDistanceFunction

public DistanceFunction getDistanceFunction()

Gets the distance function. AVG by default.

Returns:

the distance function