/*
* dCache - http://www.dcache.org/
*
* Copyright (C) 2016 Deutsches Elektronen-Synchrotron
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU Affero General Public License as
* published by the Free Software Foundation, either version 3 of the
* License, or (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Affero General Public License for more details.
*
* You should have received a copy of the GNU Affero General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
package org.dcache.pool.assumption;
import java.util.stream.DoubleStream;
import diskCacheV111.pools.PoolCostInfo;
/**
* An assumption on the performance cost of a pool.
*
* The performance cost is defined as the average fill factor of the mover
* queues and the HSM store queue. The assumption fails of the performance
* cost is higher than the assumed.
*/
public class PerformanceCostAssumption implements Assumption
{
private static final long serialVersionUID = 1511067206767819221L;
private final double limit;
private PerformanceCostAssumption(double limit)
{
this.limit = limit;
}
@Override
public boolean isSatisfied(Pool pool)
{
return PoolCostInfo.getPerformanceCost(pool.store(), pool.movers()) <= limit;
}
@Override
public String toString()
{
return "performance cost is less than " + limit;
}
@Override
public boolean equals(Object o)
{
if (this == o) {
return true;
}
if (o == null || getClass() != o.getClass()) {
return false;
}
PerformanceCostAssumption that = (PerformanceCostAssumption) o;
return Double.compare(that.limit, limit) == 0;
}
@Override
public int hashCode()
{
return Double.hashCode(limit);
}
/**
* Creates an assumption on the performance cost of a pool.
*
* The assumption is formed from the smallest of a number of positive finite limits. A error
* margin is added to the limit to allow the pool to overshoot slightly without failing the
* assumption.
*
* @param error The margin of error to add to the limit
* @param limits Zero or more limits; non-positive or non-finite values are discarded
*/
public static Assumption of(double error, double... limits)
{
double limit = DoubleStream.of(limits).filter(l -> l > 0.0).min().orElse(Double.POSITIVE_INFINITY);
return Double.isFinite(limit) ? new PerformanceCostAssumption(limit + error) : Assumptions.none();
}
}