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/*
* Copyright 2015 Netflix, Inc.
*
* Licensed 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 com.netflix.fenzo.plugins;
import com.netflix.fenzo.ConstraintEvaluator;
import com.netflix.fenzo.TaskRequest;
import com.netflix.fenzo.TaskTracker;
import com.netflix.fenzo.TaskTrackerState;
import com.netflix.fenzo.VMTaskFitnessCalculator;
import com.netflix.fenzo.VirtualMachineCurrentState;
import com.netflix.fenzo.functions.Func1;
import java.util.HashMap;
import java.util.Map;
import java.util.Set;
/**
* A balanced host attribute constraint attempts to distribute co-tasks evenly among host types, where their
* types are determined by the values of particular host attributes.
*/
public class BalancedHostAttrConstraint implements ConstraintEvaluator {
private final String name;
private final Func1> coTasksGetter;
private final String hostAttributeName;
private final int expectedValues;
/**
* Create a constraint evaluator to balance tasks across hosts based on a given host attribute. For example,
* if ten hosts have three distinct host attribute values between them of A, B, and C, when nine tasks are
* scheduled, three tasks are assigned to hosts with attribute value A, another three tasks to hosts with
* attribute B, and so on.
*
* @param coTasksGetter a one-argument function that, given a task ID being considered for assignment,
* returns the set of Task IDs of the tasks that form the group of tasks which need to
* be balanced
* @param hostAttributeName the name of the host attribute whose values need to be balanced across the
* co-tasks
* @param expectedValues the number of distinct values to expect for {@code hostAttributeName}
*/
public BalancedHostAttrConstraint(Func1> coTasksGetter, String hostAttributeName, int expectedValues) {
this.coTasksGetter = coTasksGetter;
this.hostAttributeName = hostAttributeName;
this.name = BalancedHostAttrConstraint.class.getName()+"-"+hostAttributeName;
this.expectedValues = expectedValues;
}
/**
* Returns the name of the balanced host attribute constraint, which takes the form of the name of the
* class (or subclass) followed by a dash followed by the value of {@code hostAttributeName} as it was set
* when the constraint object was created.
*
* @return the name of the balanced host attribute constraint
*/
@Override
public String getName() {
return name;
}
@Override
public Result evaluate(TaskRequest taskRequest, VirtualMachineCurrentState targetVM, TaskTrackerState taskTrackerState) {
Set coTasks = coTasksGetter.call(taskRequest.getId());
String targetHostAttrVal = AttributeUtilities.getAttrValue(targetVM.getCurrAvailableResources(), hostAttributeName);
if(targetHostAttrVal==null || targetHostAttrVal.isEmpty()) {
return new Result(false, hostAttributeName + " attribute unavailable on host " + targetVM.getCurrAvailableResources().hostname());
}
Map usedAttribsMap = null;
try {
usedAttribsMap = getUsedAttributesMap(coTasks, taskTrackerState);
} catch (Exception e) {
return new Result(false, e.getMessage());
}
final Integer integer = usedAttribsMap.get(targetHostAttrVal);
if(integer==null || usedAttribsMap.isEmpty())
return new Result(true, "");
int min=Integer.MAX_VALUE;
int max=Integer.MIN_VALUE;
for(Integer i: usedAttribsMap.values()) {
min = Math.min(min, i);
max = Math.max(max, i);
}
min = expectedValues>usedAttribsMap.size()? 0 : min;
if(min == max || integer getUsedAttributesMap(Set coTasks, TaskTrackerState taskTrackerState) throws Exception {
Map usedAttribsMap = new HashMap<>();
for(String coTask: coTasks) {
TaskTracker.ActiveTask activeTask = taskTrackerState.getAllRunningTasks().get(coTask);
if(activeTask==null)
activeTask = taskTrackerState.getAllCurrentlyAssignedTasks().get(coTask);
if(activeTask!=null) {
String usedAttrVal = AttributeUtilities.getAttrValue(activeTask.getTotalLease(), hostAttributeName);
if(usedAttrVal==null || usedAttrVal.isEmpty())
throw new Exception(hostAttributeName+" attribute unavailable on host " + activeTask.getTotalLease().hostname() +
" running co-task " + coTask); // indicate missing attribute in host
if(usedAttribsMap.get(usedAttrVal)==null)
usedAttribsMap.put(usedAttrVal, 1);
else
usedAttribsMap.put(usedAttrVal, usedAttribsMap.get(usedAttrVal)+1);
}
}
return usedAttribsMap;
}
/**
* Converts this constraint into a "soft" constraint. By default, a balanced host attribute constraint is a
* "hard" constraint, which is to say that Fenzo will guarantee that the constraint is applied and will fail
* to place a task if the only way it can do so is to violate the constraint. This method returns a
* {@link VMTaskFitnessCalculator} that represents this constraint as a "soft" constraint that will permit
* Fenzo to place a task in violation of the constraint if it cannot do so otherwise.
*
* @return a task fitness calculator that represents the balanced host attribute constraint as a soft
* constraint
*/
public VMTaskFitnessCalculator asSoftConstraint() {
return new VMTaskFitnessCalculator() {
@Override
public String getName() {
return name;
}
@Override
public double calculateFitness(TaskRequest taskRequest, VirtualMachineCurrentState targetVM, TaskTrackerState taskTrackerState) {
String targetHostAttrVal = AttributeUtilities.getAttrValue(targetVM.getCurrAvailableResources(), hostAttributeName);
if(targetHostAttrVal==null || targetHostAttrVal.isEmpty()) {
return 0.0;
}
Set coTasks = coTasksGetter.call(taskRequest.getId());
Map usedAttribsMap = null;
try {
usedAttribsMap = getUsedAttributesMap(coTasks, taskTrackerState);
} catch (Exception e) {
return 0.0;
}
final Integer integer = usedAttribsMap.get(targetHostAttrVal);
if(integer==null)
return 1.0;
if(usedAttribsMap.isEmpty())
return 1.0;
double avg=0.0;
for(Integer i: usedAttribsMap.values())
avg += i;
avg = Math.ceil(avg+1 / Math.max(expectedValues, usedAttribsMap.size()));
if(integer<=avg)
return (avg-(double)integer) / avg;
return 0.0;
}
};
}
}
