Source Code Cross Referenced for ClustererFactory.java in  » Workflow-Engines » pegasus-2.1.0 » org » griphyn » cPlanner » cluster » Java Source Code / Java DocumentationJava Source Code and Java Documentation

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Java Source Code / Java Documentation » Workflow Engines » pegasus 2.1.0 » org.griphyn.cPlanner.cluster 
Source Cross Referenced  Class Diagram Java Document (Java Doc) 


001:        /*
002:         * This file or a portion of this file is licensed under the terms of
003:         * the Globus Toolkit Public License, found in file GTPL, or at
004:         * http://www.globus.org/toolkit/download/license.html. This notice must
005:         * appear in redistributions of this file, with or without modification.
006:         *
007:         * Redistributions of this Software, with or without modification, must
008:         * reproduce the GTPL in: (1) the Software, or (2) the Documentation or
009:         * some other similar material which is provided with the Software (if
010:         * any).
011:         *
012:         * Copyright 1999-2004 University of Chicago and The University of
013:         * Southern California. All rights reserved.
014:         */
015:
016:        package org.griphyn.cPlanner.cluster;
017:
018:        import org.griphyn.cPlanner.classes.ADag;
019:        import org.griphyn.cPlanner.classes.PegasusBag;
020:
021:        import org.griphyn.cPlanner.common.PegasusProperties;
022:
023:        import org.griphyn.cPlanner.partitioner.Partitioner;
024:        import org.griphyn.cPlanner.partitioner.PartitionerFactory;
025:        import org.griphyn.cPlanner.partitioner.PartitionerFactoryException;
026:        import org.griphyn.cPlanner.partitioner.graph.GraphNode;
027:
028:        import org.griphyn.common.util.DynamicLoader;
029:
030:        import java.util.Map;
031:        import java.util.HashMap;
032:
033:        /**
034:         * A factory class to load the appropriate Partitioner, and Clusterer Callback
035:         * for clustering. An abstract factory, as it loads the appropriate partitioner
036:         * matching a clustering technique.
037:         *
038:         *
039:         * @author Karan Vahi vahi@isi.edu
040:         * @version $Revision: 450 $
041:         */
042:
043:        public class ClustererFactory {
044:
045:            /**
046:             * The default package where all the implementations reside.
047:             */
048:            public static final String DEFAULT_PACKAGE_NAME = "org.griphyn.cPlanner.cluster";
049:
050:            /**
051:             * The name of the class implementing horizontal clustering.
052:             */
053:            public static final String HORIZONTAL_CLUSTERING_CLASS = "Horizontal";
054:
055:            /**
056:             * The name of the class implementing vertical clustering.
057:             */
058:            public static final String VERTICAL_CLUSTERING_CLASS = "Vertical";
059:
060:            /**
061:             * The type corresponding to label based clustering.
062:             */
063:            private static final String LABEL_CLUSTERING_TYPE = "label";
064:
065:            /**
066:             * The table that maps clustering technique to a partitioner.
067:             */
068:            private static Map mPartitionerTable;
069:
070:            /**
071:             * The table that maps a clustering technique to a clustering impelemntation.
072:             */
073:            private static Map mClustererTable;
074:
075:            /**
076:             * Loads the appropriate partitioner on the basis of the clustering type
077:             * specified in the options passed to the planner.
078:             *
079:             * @param properties the <code>PegasusProperties</code> object containing all
080:             *                   the properties required by Pegasus.
081:             * @param type       type of clustering to be used.
082:             * @param root       the dummy root node of the graph.
083:             * @param graph      the map containing all the nodes of the graph keyed by
084:             *                   the logical id of the nodes.
085:             *
086:             * @return the instance of the appropriate partitioner.
087:             *
088:             * @throws ClustererFactoryException that nests any error that
089:             *         might occur during the instantiation
090:             *
091:             * @see #DEFAULT_PACKAGE_NAME
092:             */
093:            public static Partitioner loadPartitioner(
094:                    PegasusProperties properties, String type, GraphNode root,
095:                    Map graph) throws ClustererFactoryException {
096:
097:                String clusterer = type;
098:
099:                //sanity check
100:                if (clusterer == null) {
101:                    throw new ClustererFactoryException(
102:                            "No Clustering Technique Specified ");
103:                }
104:
105:                //try to find the appropriate partitioner
106:                Object partitionerClass = partitionerTable().get(clusterer);
107:                if (partitionerClass == null) {
108:                    throw new ClustererFactoryException(
109:                            "No matching partitioner found for clustering technique "
110:                                    + clusterer);
111:                }
112:
113:                //now load the partitioner
114:                Partitioner partitioner = null;
115:                try {
116:                    partitioner = PartitionerFactory.loadInstance(properties,
117:                            root, graph, (String) partitionerClass);
118:                } catch (PartitionerFactoryException e) {
119:                    throw new ClustererFactoryException(
120:                            " Unable to instantiate partitioner "
121:                                    + partitionerClass, e);
122:                }
123:                return partitioner;
124:            }
125:
126:            /**
127:             * Loads the appropriate clusterer on the basis of the clustering type
128:             * specified in the options passed to the planner.
129:             *
130:             * @param dag        the workflow being clustered.
131:             * @param bag        the bag of initialization objects.
132:             * @param type       type of clustering to be used.
133:             *
134:             * @return the instance of the appropriate clusterer.
135:             *
136:             * @throws ClustererFactoryException that nests any error that
137:             *         might occur during the instantiation
138:             *
139:             * @see #DEFAULT_PACKAGE_NAME
140:             */
141:            public static Clusterer loadClusterer(ADag dag, PegasusBag bag,
142:                    String type) throws ClustererFactoryException {
143:
144:                //sanity check
145:                if (type == null) {
146:                    throw new ClustererFactoryException(
147:                            "No Clustering Technique Specified ");
148:                }
149:
150:                //try to find the appropriate clusterer
151:                Object clustererClass = clustererTable().get(type);
152:                if (clustererClass == null) {
153:                    throw new ClustererFactoryException(
154:                            "No matching clusterer found for clustering technique "
155:                                    + type);
156:                }
157:
158:                //now load the clusterer
159:                Clusterer clusterer = null;
160:                String className = (String) clustererClass;
161:                try {
162:
163:                    //prepend the package name if required
164:                    className = (className.indexOf('.') == -1) ?
165:                    //pick up from the default package
166:                    DEFAULT_PACKAGE_NAME + "." + className
167:                            :
168:                            //load directly
169:                            className;
170:
171:                    //try loading the class dynamically
172:                    DynamicLoader dl = new DynamicLoader(className);
173:                    clusterer = (Clusterer) dl.instantiate(new Object[0]);
174:                    clusterer.initialize(dag, bag);
175:                } catch (Exception e) {
176:                    throw new ClustererFactoryException(
177:                            " Unable to instantiate partitioner ", className, e);
178:                }
179:                return clusterer;
180:            }
181:
182:            /**
183:             * Returns a table that maps, the clustering technique to an appropriate
184:             * class implementing that clustering technique.
185:             *
186:             * @return a Map indexed by clustering styles, and values as corresponding
187:             *         implementing Clustering classes.
188:             */
189:            private static Map clustererTable() {
190:                if (mClustererTable == null) {
191:                    mClustererTable = new HashMap(3);
192:                    mClustererTable.put(HORIZONTAL_CLUSTERING_CLASS
193:                            .toLowerCase(), HORIZONTAL_CLUSTERING_CLASS);
194:                    mClustererTable.put(
195:                            VERTICAL_CLUSTERING_CLASS.toLowerCase(),
196:                            VERTICAL_CLUSTERING_CLASS);
197:                    mClustererTable.put(LABEL_CLUSTERING_TYPE.toLowerCase(),
198:                            VERTICAL_CLUSTERING_CLASS);
199:                }
200:                return mClustererTable;
201:            }
202:
203:            /**
204:             * Returns a table that maps, the clustering technique to an appropriate
205:             * partitioning technique.
206:             *
207:             * @return a Map indexed by clustering styles, and values as corresponding
208:             *         Partitioners.
209:             */
210:            private static Map partitionerTable() {
211:                if (mPartitionerTable == null) {
212:                    mPartitionerTable = new HashMap(3);
213:                    mPartitionerTable.put(HORIZONTAL_CLUSTERING_CLASS
214:                            .toLowerCase(),
215:                            PartitionerFactory.LEVEL_BASED_PARTITIONING_CLASS);
216:                    mPartitionerTable.put(VERTICAL_CLUSTERING_CLASS
217:                            .toLowerCase(),
218:                            PartitionerFactory.LABEL_BASED_PARTITIONING_CLASS);
219:                    mPartitionerTable.put(LABEL_CLUSTERING_TYPE.toLowerCase(),
220:                            PartitionerFactory.LABEL_BASED_PARTITIONING_CLASS);
221:                }
222:                return mPartitionerTable;
223:            }
224:
225:        }
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