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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.gossip.accrual;
import org.apache.commons.math.MathException;
import org.apache.commons.math.distribution.ExponentialDistributionImpl;
import org.apache.commons.math.distribution.NormalDistributionImpl;
import org.apache.commons.math.stat.descriptive.DescriptiveStatistics;
import org.apache.log4j.Logger;
public class FailureDetector {
public static final Logger LOGGER = Logger.getLogger(FailureDetector.class);
private final DescriptiveStatistics descriptiveStatistics;
private final long minimumSamples;
private volatile long latestHeartbeatMs = -1;
private final String distribution;
public FailureDetector(long minimumSamples, int windowSize, String distribution) {
descriptiveStatistics = new DescriptiveStatistics(windowSize);
this.minimumSamples = minimumSamples;
this.distribution = distribution;
}
/**
* Updates the statistics based on the delta between the last
* heartbeat and supplied time
*
* @param now the time of the heartbeat in milliseconds
*/
public synchronized void recordHeartbeat(long now) {
if (now <= latestHeartbeatMs) {
return;
}
if (latestHeartbeatMs != -1) {
descriptiveStatistics.addValue(now - latestHeartbeatMs);
}
latestHeartbeatMs = now;
}
public synchronized Double computePhiMeasure(long now) {
if (latestHeartbeatMs == -1 || descriptiveStatistics.getN() < minimumSamples) {
return null;
}
long delta = now - latestHeartbeatMs;
try {
double probability;
if (distribution.equals("normal")) {
double standardDeviation = descriptiveStatistics.getStandardDeviation();
standardDeviation = standardDeviation < 0.1 ? 0.1 : standardDeviation;
probability = new NormalDistributionImpl(descriptiveStatistics.getMean(), standardDeviation).cumulativeProbability(delta);
} else {
probability = new ExponentialDistributionImpl(descriptiveStatistics.getMean()).cumulativeProbability(delta);
}
final double eps = 1e-12;
if (1 - probability < eps) {
probability = 1.0;
}
return -1.0d * Math.log10(1.0d - probability);
} catch (MathException | IllegalArgumentException e) {
LOGGER.debug(e);
return null;
}
}
}