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/*
* MIT License
*
* Copyright (c) 2017 atlarge-research
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
package nl.atlarge.opendc.platform
import mu.KotlinLogging
import nl.atlarge.opendc.integration.jpa.schema.ExperimentState
import nl.atlarge.opendc.integration.jpa.schema.MachineState
import nl.atlarge.opendc.integration.jpa.transaction
import nl.atlarge.opendc.integration.jpa.schema.Trace as InternalTrace
import nl.atlarge.opendc.integration.jpa.schema.TaskState as InternalTaskState
import nl.atlarge.opendc.integration.jpa.schema.Experiment as InternalExperiment
import nl.atlarge.opendc.integration.jpa.schema.Task as InternalTask
import nl.atlarge.opendc.kernel.Kernel
import nl.atlarge.opendc.platform.workload.TaskState
import nl.atlarge.opendc.topology.JpaTopologyFactory
import nl.atlarge.opendc.topology.container.Rack
import nl.atlarge.opendc.topology.container.Room
import nl.atlarge.opendc.topology.destinations
import nl.atlarge.opendc.topology.machine.Machine
import java.util.*
import javax.persistence.EntityManager
/**
* An [Experiment] backed by the JPA API and an underlying database connection.
*
* @property manager The entity manager for the database connection.
* @property experiment The internal experiment definition to use.
* @author Fabian Mastenbroek (f.s.mastenbroek@student.tudelft.nl)
*/
class JpaExperiment(private val manager: EntityManager,
private val experiment: InternalExperiment): Experiment<Unit>, AutoCloseable {
/**
* The logging instance.
*/
private val logger = KotlinLogging.logger {}
/**
* Run the experiment on the specified simulation [Kernel].
*
* @param kernel The simulation kernel to run the experiment.
* @throws IllegalStateException if the simulation is already running or finished.
*/
override fun run(kernel: Kernel) {
if (experiment.state != ExperimentState.CLAIMED) {
throw IllegalStateException("The experiment is in illegal state ${experiment.state}")
}
// Set the simulation state
manager.transaction {
experiment.state = ExperimentState.SIMULATING
}
val section = experiment.path.sections.first()
// Important: initialise the scheduler of the datacenter
section.datacenter.scheduler = experiment.scheduler
val topology = JpaTopologyFactory(section).create()
val simulation = kernel.create(topology)
val trace = experiment.trace
val tasks = trace.jobs.flatMap { it.tasks }
logger.info { "Sending trace to kernel ${Objects.hashCode(trace)} ${(trace as InternalTrace).id}" }
// Schedule all messages in the trace
tasks.forEach { task ->
if (task is InternalTask) {
simulation.schedule(task, section.datacenter, delay = task.startTime)
} else {
logger.warn { "Dropped invalid task $task" }
}
}
// Find all machines in the datacenter
val machines = topology.run {
section.datacenter.outgoingEdges.destinations<Room>("room").asSequence()
.flatMap { it.outgoingEdges.destinations<Rack>("rack").asSequence() }
.flatMap { it.outgoingEdges.destinations<Machine>("machine").asSequence() }.toList()
}
logger.info { "Starting simulation" }
while (trace.jobs.any { !it.finished }) {
// Collect data of simulation cycle
manager.transaction {
experiment.last = simulation.clock.now
machines.forEach { machine ->
val state = simulation.run { machine.state }
val wrapped = MachineState(0,
machine as nl.atlarge.opendc.integration.jpa.schema.Machine,
state.task as nl.atlarge.opendc.integration.jpa.schema.Task?,
experiment,
simulation.clock.now,
state.temperature,
state.memory,
state.load
)
manager.persist(wrapped)
}
trace.jobs.asSequence()
.flatMap { it.tasks.asSequence() }
.forEach { task ->
val state = InternalTaskState(0,
task as nl.atlarge.opendc.integration.jpa.schema.Task,
experiment,
simulation.clock.now,
task.remaining.toInt(),
1
)
manager.persist(state)
}
}
// Run next simulation cycle
simulation.run(simulation.clock.now + 1)
}
// Set the experiment state
manager.transaction {
experiment.state = ExperimentState.FINISHED
}
logger.info { "Simulation done" }
val waiting: Long = tasks.fold(0.toLong()) { acc, task ->
val finished = task.state as TaskState.Finished
acc + (finished.previous.at - finished.previous.previous.at)
} / tasks.size
val execution: Long = tasks.fold(0.toLong()) { acc, task ->
val finished = task.state as TaskState.Finished
acc + (finished.at - finished.previous.at)
} / tasks.size
val turnaround: Long = tasks.fold(0.toLong()) { acc, task ->
val finished = task.state as TaskState.Finished
acc + (finished.at - finished.previous.previous.at)
} / tasks.size
logger.info { "Average waiting time: $waiting seconds" }
logger.info { "Average execution time: $execution seconds" }
logger.info { "Average turnaround time: $turnaround seconds" }
}
/**
* Closes this resource, relinquishing any underlying resources.
* This method is invoked automatically on objects managed by the
* `try`-with-resources statement.
*
* @throws Exception if this resource cannot be closed
*/
override fun close() = manager.close()
}
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