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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.stratos.autoscaler.monitor;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.stratos.autoscaler.NetworkPartitionContext;
import org.apache.stratos.autoscaler.PartitionContext;
import org.apache.stratos.autoscaler.deployment.policy.DeploymentPolicy;
import org.apache.stratos.autoscaler.policy.model.AutoscalePolicy;
import org.apache.stratos.autoscaler.rule.AutoscalerRuleEvaluator;
import java.util.concurrent.ConcurrentHashMap;
/**
* Is responsible for monitoring a service cluster. This runs periodically
* and perform minimum instance check and scaling check using the underlying
* rules engine.
*
*/
public class ClusterMonitor extends AbstractMonitor{
private static final Log log = LogFactory.getLog(ClusterMonitor.class);
private String lbReferenceType;
public ClusterMonitor(String clusterId, String serviceId, DeploymentPolicy deploymentPolicy,
AutoscalePolicy autoscalePolicy) {
this.clusterId = clusterId;
this.serviceId = serviceId;
this.autoscalerRuleEvaluator = new AutoscalerRuleEvaluator();
this.scaleCheckKnowledgeSession = autoscalerRuleEvaluator.getScaleCheckStatefulSession();
this.minCheckKnowledgeSession = autoscalerRuleEvaluator.getMinCheckStatefulSession();
this.deploymentPolicy = deploymentPolicy;
this.autoscalePolicy = autoscalePolicy;
networkPartitionCtxts = new ConcurrentHashMap<String, NetworkPartitionContext>();
}
@Override
public void run() {
try {
// TODO make this configurable,
// this is the delay the min check of normal cluster monitor to wait until LB monitor is added
Thread.sleep(60000);
} catch (InterruptedException ignore) {
}
while (!isDestroyed()) {
if (log.isDebugEnabled()) {
log.debug("Cluster monitor is running.. "+this.toString());
}
try {
monitor();
} catch (Exception e) {
log.error("Cluster monitor: Monitor failed."+this.toString(), e);
}
try {
// TODO make this configurable
Thread.sleep(30000);
} catch (InterruptedException ignore) {
}
}
}
private void monitor() {
// if(clusterCtxt != null ) {
//TODO make this concurrent
for (NetworkPartitionContext networkPartitionContext : networkPartitionCtxts.values()) {
//minimum check per partition
for(PartitionContext partitionContext: networkPartitionContext.getPartitionCtxts().values()){
minCheckKnowledgeSession.setGlobal("clusterId", clusterId);
minCheckKnowledgeSession.setGlobal("lbRef", lbReferenceType);
if (log.isDebugEnabled()) {
log.debug(String.format("Running minimum check for partition %s ", partitionContext.getPartitionId()));
}
minCheckFactHandle = AutoscalerRuleEvaluator.evaluateMinCheck(minCheckKnowledgeSession
, minCheckFactHandle, partitionContext);
}
boolean rifReset = networkPartitionContext.isRifReset();
boolean memoryConsumptionReset = networkPartitionContext.isMemoryConsumptionReset();
boolean loadAverageReset = networkPartitionContext.isLoadAverageReset();
if(rifReset || memoryConsumptionReset || loadAverageReset){
scaleCheckKnowledgeSession.setGlobal("clusterId", clusterId);
//scaleCheckKnowledgeSession.setGlobal("deploymentPolicy", deploymentPolicy);
scaleCheckKnowledgeSession.setGlobal("autoscalePolicy", autoscalePolicy);
scaleCheckKnowledgeSession.setGlobal("rifReset", rifReset);
scaleCheckKnowledgeSession.setGlobal("mcReset", memoryConsumptionReset);
scaleCheckKnowledgeSession.setGlobal("laReset", loadAverageReset);
scaleCheckKnowledgeSession.setGlobal("lbRef", lbReferenceType);
if (log.isDebugEnabled()) {
log.debug(String.format("Running scale check for network partition %s ", networkPartitionContext.getId()));
}
scaleCheckFactHandle = AutoscalerRuleEvaluator.evaluateScaleCheck(scaleCheckKnowledgeSession
, scaleCheckFactHandle, networkPartitionContext);
networkPartitionContext.setRifReset(false);
networkPartitionContext.setMemoryConsumptionReset(false);
networkPartitionContext.setLoadAverageReset(false);
} else if(log.isDebugEnabled()){
log.debug(String.format("Scale rule will not run since the LB statistics have not received before this " +
"cycle for network partition %s", networkPartitionContext.getId()) );
}
}
}
@Override
public String toString() {
return "ClusterMonitor [clusterId=" + clusterId + ", serviceId=" + serviceId +
", deploymentPolicy=" + deploymentPolicy + ", autoscalePolicy=" + autoscalePolicy +
", lbReferenceType=" + lbReferenceType + "]";
}
public String getLbReferenceType() {
return lbReferenceType;
}
public void setLbReferenceType(String lbReferenceType) {
this.lbReferenceType = lbReferenceType;
}
}