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
|
/*
* Copyright (c) 2024 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 org.opendc.compute.failure.prefab
import org.apache.commons.math3.distribution.ExponentialDistribution
import org.apache.commons.math3.distribution.GammaDistribution
import org.apache.commons.math3.distribution.LogNormalDistribution
import org.apache.commons.math3.distribution.UniformRealDistribution
import org.apache.commons.math3.distribution.WeibullDistribution
import org.apache.commons.math3.random.Well19937c
import org.opendc.compute.failure.models.SampleBasedFailureModel
import org.opendc.compute.simulator.service.ComputeService
import java.time.InstantSource
import java.util.random.RandomGenerator
import kotlin.coroutines.CoroutineContext
/**
* Failure models based on values taken from "The Failure Trace Archive: Enabling the comparison of failure measurements and models of distributed systems"
* Which can be found at https://www-sciencedirect-com.vu-nl.idm.oclc.org/science/article/pii/S0743731513000634
*/
public fun createNd07cpuExp(
context: CoroutineContext,
clock: InstantSource,
service: ComputeService,
random: RandomGenerator,
): SampleBasedFailureModel {
val rng = Well19937c(random.nextLong())
return SampleBasedFailureModel(
context,
clock,
service,
random,
ExponentialDistribution(rng, 13.73),
ExponentialDistribution(rng, 4.25),
UniformRealDistribution(0.0, 1.0),
)
}
public fun createNd07cpuWbl(
context: CoroutineContext,
clock: InstantSource,
service: ComputeService,
random: RandomGenerator,
): SampleBasedFailureModel {
val rng = Well19937c(random.nextLong())
return SampleBasedFailureModel(
context,
clock,
service,
random,
WeibullDistribution(rng, 0.45, 4.16),
WeibullDistribution(rng, 0.51, 0.74),
UniformRealDistribution(0.0, 1.0),
)
}
public fun createNd07cpuLogN(
context: CoroutineContext,
clock: InstantSource,
service: ComputeService,
random: RandomGenerator,
): SampleBasedFailureModel {
val rng = Well19937c(random.nextLong())
return SampleBasedFailureModel(
context,
clock,
service,
random,
LogNormalDistribution(rng, 0.30, 2.20),
LogNormalDistribution(rng, -1.02, 1.27),
UniformRealDistribution(0.0, 1.0),
)
}
public fun createNd07cpuGam(
context: CoroutineContext,
clock: InstantSource,
service: ComputeService,
random: RandomGenerator,
): SampleBasedFailureModel {
val rng = Well19937c(random.nextLong())
return SampleBasedFailureModel(
context,
clock,
service,
random,
GammaDistribution(rng, 0.30, 46.16),
GammaDistribution(rng, 0.28, 15.07),
UniformRealDistribution(0.0, 1.0),
)
}
|
