nb_cluster = 0 ;
nb_node = 0 ;
clusters = new ArrayList<Cluster>() ;
- gnodesList = null ;
+ gnodesList = new ArrayList<GNode>() ;
gnodesList_done = false ;
}
{
if( al != null )
{
+ int nbCLusterNodes = 0 ;
+
for( int i = 0 ; i < al.size() ; i++ )
{
clusters.add( al.get( i ) ) ;
nb_cluster ++ ;
- nb_node += al.get( i ).getNbGNode() ;
+ nbCLusterNodes = al.get( i ).getNbGNode() ;
+ nb_node += nbCLusterNodes ;
+
+ for( int j = 0 ; j < nbCLusterNodes ; j++ )
+ {
+ gnodesList.add( al.get( i ).getGNodes().get( j ) ) ;
+ }
}
}
}
/**
- * Plop !!
- * @param _gnodes
+ * Upgrade the grid with new nodes.
+ * @param _gnodes The list of new nodes
*/
public void updateGrid( ArrayList<GNode> _gnodes )
{
{
for( int i = 0 ; i < _gnodes.size() ; i++ )
{
+ /** Searching the cluster in which the node should be added **/
+ int j = 0 ;
+ for( j = 0; j < clusters.size(); j++ )
+ {
+ if( _gnodes.get( i ).getCluster().equalsIgnoreCase( clusters.get( j ).getName() ) )
+ {
+ if( ! clusters.get( j ).isIn( _gnodes.get( i ) ) )
+ {
+ _gnodes.get( i ).setCluster( clusters.get( j ).getName() ) ;
+ _gnodes.get( i ).setSite( clusters.get( j ).getSite() ) ;
+ _gnodes.get( i ).setInCluster( true ) ;
+ _gnodes.get( i ).setMapped( false ) ;
+
+ clusters.get( i ).addGNode( _gnodes.get( j ) ) ;
+ nb_node++ ;
+ gnodesList.add( _gnodes.get( i ) ) ;
+ }
+
+ break ;
+ }
+ }
+ /** The cluster was not found, so it is a new one **/
+ if( j == clusters.size() )
+ {
+ String site = "", cluster = "" ;
+ Cluster nClust = new Cluster() ;
+
+
+ String names[] = Utils.decodeG5Knames( _gnodes.get( i ).getName() ) ;
+
+ cluster = names[ 1 ] ;
+ site = names[ 2 ] ;
+
+ nClust.setName( cluster ) ;
+ nClust.setSite( site ) ;
+
+ _gnodes.get( i ).setInCluster( true ) ;
+ _gnodes.get( i ).setMapped( false ) ;
+ _gnodes.get( i ).setSite( site ) ;
+ _gnodes.get( i ).setCluster( cluster ) ;
+
+ nClust.addGNode( _gnodes.get( i ) ) ;
+ nb_cluster++ ;
+
+ clusters.add( nClust ) ;
+ nb_node++ ;
+ gnodesList.add( _gnodes.get( i ) ) ;
+ }
}
gnodesList_done = false ;
site = _dead.getSite() ;
cluster = _dead.getCluster() ;
- /* Removing GNode from its cluster */
+ /** Removing GNode from its cluster **/
for( int j = 0 ; j < clusters.size() ; j++ )
{
if( clusters.get( j ).getName().equals( cluster ) && clusters.get( j ).getSite().equals( site ))
}
}
- /* Removing the dead node from the global list */
+ /** Removing the dead node from the global list **/
for( int i = 0 ; i < nb_node ; i++ )
{
if( _dead.getId() == gnodesList.get( i ).getId() )
/**
* Compute the heterogeneity degree of the grid.
- * This is based on a ratio between the average and the
- * standard deviation of computing nodes' power.
+ * This is based on the relative standard deviation.
* @return The heterogeneity degree of the grid
*/
public double getHeterogenityDegre()
{
+ if( nb_node != gnodesList.size() )
+ {
+ System.err.println( "Mapping - Heterogeneity degree computation! " +
+ "List's size not corresponding!" ) ;
+ return -1 ;
+ }
+
double hd = -1 ;
+ double average = 0 ;
+ double std = 0 ;
+ double temp = 0 ;
+
+ /** Computation of the average power of computing nodes **/
+ for( int i = 0 ; i < nb_node ; i++ )
+ {
+ temp += gnodesList.get(i).getPower() ;
+ }
+
+ average = temp / nb_node ;
+
+ /** Computation of the variance **/
+ temp = 0 ;
+ for( int i = 0 ; i < nb_node ; i++ )
+ {
+ temp += Math.pow( ( gnodesList.get(i).getPower() - average ), 2 ) ;
+ }
+
+ /** Computation of the standard deviation **/
+ temp = temp / nb_node ;
+ std = Math.sqrt( temp ) ;
+
+ /** Computation of the relative standard deviation
+ * plus modifications
+ */
+ hd = 100 * std / average / 10 ;
+
return hd ;
}