1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
|
/*
* 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.topology.machine
import mu.KotlinLogging
import nl.atlarge.opendc.topology.destinations
import nl.atlarge.opendc.platform.workload.Task
import nl.atlarge.opendc.kernel.Context
import nl.atlarge.opendc.kernel.Process
import nl.atlarge.opendc.kernel.time.Duration
import nl.atlarge.opendc.topology.Entity
/**
* A Physical Machine (PM) inside a rack of a datacenter. It has a speed, and can be given a workload on which it will
* work until finished or interrupted.
*
* @author Fabian Mastenbroek (f.s.mastenbroek@student.tudelft.nl)
*/
open class Machine : Entity<Machine.State>, Process<Machine> {
/**
* The logger instance to use for the simulator.
*/
private val logger = KotlinLogging.logger {}
/**
* The status of a machine.
*/
enum class Status {
HALT, IDLE, RUNNING
}
/**
* The shape of the state of a [Machine] entity.
*
* @property status The status of the machine.
* @property task The task assign to the machine.
* @property memory The memory usage of the machine (defaults to 50mb for the kernel)
* @property load The load on the machine (defaults to 0.0)
* @property temperature The temperature of the machine (defaults to 23 degrees Celcius)
*/
data class State(val status: Status,
val task: Task? = null,
val memory: Int = 50,
val load: Double = 0.0,
val temperature: Double = 23.0)
/**
* The initial state of a [Machine] entity.
*/
override val initialState = State(Status.HALT)
/**
* Run the simulation kernel for this entity.
*/
override suspend fun Context<Machine>.run() {
update(State(Status.IDLE))
val interval: Duration = 10
val cpus = outgoingEdges.destinations<Cpu>("cpu")
val speed = cpus.fold(0, { acc, cpu -> acc + cpu.clockRate * cpu.cores })
var task: Task = receiveTask()
update(State(Status.RUNNING, task, load = 1.0, memory = state.memory + 50, temperature = 30.0))
while (true) {
if (task.finished) {
logger.info { "${entity.id}: Task ${task.id} finished. Machine idle at $time" }
update(State(Status.IDLE))
task = receiveTask()
} else {
task.consume(time, speed * delta)
}
// Check if we have received a new order in the meantime.
val msg = receive(interval)
if (msg is Task) {
task = msg
update(State(Status.RUNNING, task, load = 1.0, memory = state.memory + 50, temperature = 30.0))
}
}
}
/**
* Wait for a [Task] to be received by the [Process] and discard all other messages received in the meantime.
*
* @return The task that has been received.
*/
private suspend fun Context<Machine>.receiveTask(): Task {
while (true) {
val msg = receive()
if (msg is Task)
return msg
}
}
}
|