Source Code Cross Referenced for AggThrottle.java in  » Web-Server » Rimfaxe-Web-Server » seda » sandStorm » internal » Java Source Code / Java DocumentationJava Source Code and Java Documentation

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Java Source Code / Java Documentation » Web Server » Rimfaxe Web Server » seda.sandStorm.internal 
Source Cross Referenced  Class Diagram Java Document (Java Doc) 


001:        /* 
002:         * Copyright (c) 2001 by Matt Welsh and The Regents of the University of 
003:         * California. All rights reserved.
004:         *
005:         * Permission to use, copy, modify, and distribute this software and its
006:         * documentation for any purpose, without fee, and without written agreement is
007:         * hereby granted, provided that the above copyright notice and the following
008:         * two paragraphs appear in all copies of this software.
009:         * 
010:         * IN NO EVENT SHALL THE UNIVERSITY OF CALIFORNIA BE LIABLE TO ANY PARTY FOR
011:         * DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES ARISING OUT
012:         * OF THE USE OF THIS SOFTWARE AND ITS DOCUMENTATION, EVEN IF THE UNIVERSITY OF
013:         * CALIFORNIA HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
014:         * 
015:         * THE UNIVERSITY OF CALIFORNIA SPECIFICALLY DISCLAIMS ANY WARRANTIES,
016:         * INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY
017:         * AND FITNESS FOR A PARTICULAR PURPOSE.  THE SOFTWARE PROVIDED HEREUNDER IS
018:         * ON AN "AS IS" BASIS, AND THE UNIVERSITY OF CALIFORNIA HAS NO OBLIGATION TO
019:         * PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR MODIFICATIONS.
020:         *
021:         * Author: Matt Welsh <mdw@cs.berkeley.edu>
022:         * 
023:         */
024:
025:        package seda.sandStorm.internal;
026:
027:        import seda.sandStorm.api.*;
028:        import seda.sandStorm.api.internal.*;
029:        import seda.sandStorm.core.*;
030:        import seda.sandStorm.main.*;
031:        import java.util.*;
032:        import seda.util.*;
033:
034:        /** 
035:         * AggThrottle is used by thread managers to adjust their aggregation
036:         * level based on observations of stage throughput.
037:         *
038:         * @author Matt Welsh
039:         */
040:        class AggThrottle {
041:
042:            private static final boolean DEBUG = false;
043:
044:            private StageWrapperIF stage;
045:            private String name;
046:            private ManagerIF mgr;
047:
048:            private double bestThroughput, lastThroughput;
049:            private int bestTarget;
050:            private long lastEvents;
051:            private long lastMeasurementTime;
052:            private int measurementCount, adjustCount;
053:
054:            private static final int STATE_DECREASING = 0;
055:            private static final int STATE_INCREASING = 1;
056:            private int state = STATE_DECREASING;
057:            private int increase_count = 0;
058:
059:            private static final int ADJUST_DELAY = 5;
060:
061:            private int minAggregation = 8;
062:            //  private int maxAggregation = -1;
063:            private int maxAggregation = 1000;
064:            private int recalcWindow = 1000;
065:            private double smoothConst = 0.7;
066:
067:            private static final double REDUCE_FACTOR = 1.2;
068:            private static final double INCREASE_FACTOR = 1.2;
069:            private static final double LOW_WATER = 0.90;
070:            private static final double HIGH_WATER = 0.98;
071:            private static final double VERY_LOW_WATER = 0.2;
072:            private static final double VERY_HIGH_WATER = 2.0;
073:
074:            private int aggregationTarget;
075:            private Random rand = new Random();
076:
077:            AggThrottle(StageWrapperIF stage, ManagerIF mgr) {
078:                this .stage = stage;
079:                this .name = stage.getStage().getName();
080:                this .mgr = mgr;
081:                SandstormConfig config = mgr.getConfig();
082:
083:                this .minAggregation = config.getInt(
084:                        "global.batchController.minBatch", minAggregation);
085:                this .maxAggregation = config.getInt(
086:                        "global.batchController.maxBatch", maxAggregation);
087:                //    this.recalcWindow = config.getInt("global.batchController.recalcWindow",
088:                //	recalcWindow);
089:                this .smoothConst = config.getDouble(
090:                        "global.batchController.smoothConst", smoothConst);
091:
092:                System.err.println("AggThrottle <" + name
093:                        + "> created: minBatch " + minAggregation
094:                        + ", maxBatch " + maxAggregation + ", recalcWindow "
095:                        + recalcWindow);
096:                this .aggregationTarget = this .maxAggregation;
097:
098:                lastThroughput = 0.0;
099:                bestThroughput = 0.0;
100:                bestTarget = aggregationTarget;
101:                lastEvents = 0;
102:                lastMeasurementTime = System.currentTimeMillis();
103:                measurementCount = adjustCount = 0;
104:
105:                mgr.getProfiler().add(
106:                        "AggThrottle throughput for <" + name + ">",
107:                        new ProfilableIF() {
108:                            public int profileSize() {
109:                                //int foo = getAggTarget(); // Recalculate
110:                                return (int) lastThroughput;
111:                            }
112:                        });
113:                mgr.getProfiler().add(
114:                        "AggThrottle bestThroughput for <" + name + ">",
115:                        new ProfilableIF() {
116:                            public int profileSize() {
117:                                //int foo = getAggTarget(); // Recalculate
118:                                return (int) bestThroughput;
119:                            }
120:                        });
121:                mgr.getProfiler().add(
122:                        "AggThrottle aggTarget for <" + name + ">",
123:                        new ProfilableIF() {
124:                            public int profileSize() {
125:                                //int foo = getAggTarget(); // Recalculate
126:                                return aggregationTarget;
127:                            }
128:                        });
129:            }
130:
131:            public String toString() {
132:                return "AggThrottle <" + name + ">";
133:            }
134:
135:            synchronized int getAggTarget() {
136:
137:                long cur_time = System.currentTimeMillis();
138:                long time_elapsed = cur_time - lastMeasurementTime;
139:
140:                if (time_elapsed < recalcWindow) {
141:                    return aggregationTarget;
142:                }
143:
144:                //    measurementCount++;
145:                //    if ((measurementCount % recalcWindow) != 0) {
146:                //      return aggregationTarget;
147:                //    }
148:
149:                long events = stage.getStats().getTotalEvents();
150:                long curEvents = events - lastEvents;
151:                lastEvents = events;
152:
153:                lastMeasurementTime = cur_time;
154:
155:                double throughput = (curEvents * 1.0)
156:                        / ((double) time_elapsed * 1.0e-3);
157:                double avgThroughput = (smoothConst * lastThroughput)
158:                        + ((1.0 - smoothConst) * throughput);
159:
160:                adjustCount++;
161:                if ((adjustCount % ADJUST_DELAY) == 0) {
162:
163:                    if (avgThroughput < (VERY_LOW_WATER * bestThroughput)) {
164:                        aggregationTarget = maxAggregation;
165:                        state = STATE_DECREASING;
166:                    }
167:
168:                    if (avgThroughput >= (VERY_HIGH_WATER * bestThroughput)) {
169:                        aggregationTarget = maxAggregation;
170:                        state = STATE_DECREASING;
171:                    }
172:
173:                    if (state == STATE_DECREASING) {
174:                        if (avgThroughput <= (LOW_WATER * bestThroughput)) {
175:                            // Fell below low water - increase
176:                            //bestThroughput = avgThroughput;
177:                            state = STATE_INCREASING;
178:                            aggregationTarget *= INCREASE_FACTOR;
179:                            if (aggregationTarget > maxAggregation)
180:                                aggregationTarget = maxAggregation;
181:                        } else if (avgThroughput > bestThroughput) {
182:                            // Better throughput - save and decrease
183:                            bestThroughput = avgThroughput;
184:                            aggregationTarget /= REDUCE_FACTOR;
185:                            if (aggregationTarget < minAggregation)
186:                                aggregationTarget = minAggregation;
187:                        } else {
188:                            // Just decrease
189:                            aggregationTarget /= REDUCE_FACTOR;
190:                            if (aggregationTarget < minAggregation)
191:                                aggregationTarget = minAggregation;
192:                        }
193:
194:                    } else if (state == STATE_INCREASING) {
195:                        if (avgThroughput > bestThroughput) {
196:                            // Better throughput - save 
197:                            bestThroughput = avgThroughput;
198:                        }
199:                        if (avgThroughput >= (HIGH_WATER * bestThroughput)) {
200:                            // Start decreasing
201:                            state = STATE_DECREASING;
202:                            aggregationTarget /= REDUCE_FACTOR;
203:                            if (aggregationTarget < minAggregation)
204:                                aggregationTarget = minAggregation;
205:                            //	} else if (avgThroughput <= (LOW_WATER*bestThroughput)) {
206:                            // Fell below low water - decrease
207:                            //bestThroughput = avgThroughput;
208:                            //	  state = STATE_DECREASING;
209:                            //	  aggregationTarget /= REDUCE_FACTOR;
210:                            //	  if (aggregationTarget < minAggregation) aggregationTarget = minAggregation;
211:                        } else {
212:                            // Just increase
213:                            aggregationTarget *= INCREASE_FACTOR;
214:                            if (aggregationTarget > maxAggregation) {
215:                                // Maxed out, so save best throughput and start decreasing
216:                                aggregationTarget = maxAggregation;
217:                                state = STATE_DECREASING;
218:                                bestThroughput = avgThroughput;
219:                            }
220:                        }
221:                    }
222:
223:                    // Randomly reset best estimate if not below LOW_WATER
224:                    //      if (rand.nextDouble() <= 0.2) {
225:                    //	if (avgThroughput >= (LOW_WATER*bestThroughput)) {
226:                    //	  bestThroughput = avgThroughput;
227:                    //	}
228:                    //     }
229:
230:                    // Randomly switch direction
231:                    if (rand.nextDouble() <= 0.0) {
232:                        if (state == STATE_INCREASING) {
233:                            state = STATE_DECREASING;
234:                            aggregationTarget /= REDUCE_FACTOR;
235:                            if (aggregationTarget < minAggregation)
236:                                aggregationTarget = minAggregation;
237:                        } else {
238:                            state = STATE_INCREASING;
239:                            aggregationTarget *= INCREASE_FACTOR;
240:                            if (aggregationTarget > maxAggregation)
241:                                aggregationTarget = maxAggregation;
242:                        }
243:                    }
244:
245:                    // Randomly reset
246:                    if (rand.nextDouble() <= 0.00) {
247:                        state = STATE_DECREASING;
248:                        aggregationTarget = maxAggregation;
249:                        bestThroughput = 0.0;
250:                    }
251:                }
252:
253:                if (DEBUG)
254:                    System.err.println("AggThrottle <" + name
255:                            + ">: avgThroughput "
256:                            + MDWUtil.format(avgThroughput) + ", last "
257:                            + MDWUtil.format(lastThroughput) + ", state "
258:                            + ((state == 0) ? "dec" : "inc") + ", aggTarget "
259:                            + aggregationTarget);
260:
261:                //if ((adjustCount % ADJUST_DELAY) == 0) lastThroughput = avgThroughput;
262:                lastThroughput = avgThroughput;
263:                return aggregationTarget;
264:            }
265:
266:        }
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