From a77829c7a8cf300a99a695423d85f905e0209286 Mon Sep 17 00:00:00 2001
From: Fabian Mastenbroek <mail.fabianm@gmail.com>
Date: Wed, 15 Apr 2020 12:16:42 +0200
Subject: perf: Optimize performance interference

---
 .../core/workload/PerformanceInterferenceModel.kt  | 83 ----------------------
 1 file changed, 83 deletions(-)
 delete mode 100644 opendc/opendc-core/src/main/kotlin/com/atlarge/opendc/core/workload/PerformanceInterferenceModel.kt

(limited to 'opendc/opendc-core/src')

diff --git a/opendc/opendc-core/src/main/kotlin/com/atlarge/opendc/core/workload/PerformanceInterferenceModel.kt b/opendc/opendc-core/src/main/kotlin/com/atlarge/opendc/core/workload/PerformanceInterferenceModel.kt
deleted file mode 100644
index 04056394..00000000
--- a/opendc/opendc-core/src/main/kotlin/com/atlarge/opendc/core/workload/PerformanceInterferenceModel.kt
+++ /dev/null
@@ -1,83 +0,0 @@
-package com.atlarge.opendc.core.workload
-
-import com.atlarge.opendc.core.resource.Resource
-import kotlin.random.Random
-
-/**
- * Meta-data key for the [PerformanceInterferenceModel] of an image.
- */
-const val IMAGE_PERF_INTERFERENCE_MODEL = "image:performance-interference"
-
-/**
- * Performance Interference Model describing the variability incurred by different sets of workloads if colocated.
- *
- * @param items The [PerformanceInterferenceModelItem]s that make up this model.
- */
-data class PerformanceInterferenceModel(
-    val items: Set<PerformanceInterferenceModelItem>,
-    val random: Random = Random(0)
-) {
-    private var intersectingItems: List<PerformanceInterferenceModelItem> = emptyList()
-    private var comparator = Comparator<PerformanceInterferenceModelItem> { lhs, rhs ->
-        var cmp = lhs.performanceScore.compareTo(rhs.performanceScore)
-        if (cmp != 0) {
-            return@Comparator cmp
-        }
-
-        cmp = lhs.minServerLoad.compareTo(rhs.minServerLoad)
-        if (cmp != 0) {
-            return@Comparator cmp
-        }
-
-        0
-    }
-
-    fun computeIntersectingItems(colocatedWorkloads: Set<Resource>) {
-        val colocatedWorkloadIds = colocatedWorkloads.map { it.name }
-        intersectingItems = items.filter { item ->
-            colocatedWorkloadIds.intersect(item.workloadNames).size > 1
-        }.sortedWith(comparator)
-    }
-
-    fun apply(currentServerLoad: Double): Double {
-        if (intersectingItems.isEmpty()) {
-            return 1.0
-        }
-        val score = intersectingItems
-            .firstOrNull { it.minServerLoad <= currentServerLoad }
-
-        // Apply performance penalty to (on average) only one of the VMs
-        return if (score != null && random.nextInt(score.workloadNames.size) == 0) {
-            score.performanceScore
-        } else {
-            1.0
-        }
-    }
-}
-
-/**
- * Model describing how a specific set of workloads causes performance variability for each workload.
- *
- * @param workloadNames The names of the workloads that together cause performance variability for each workload in the set.
- * @param minServerLoad The minimum total server load at which this interference is activated and noticeable.
- * @param performanceScore The performance score that should be applied to each workload's performance. 1 means no
- * influence, <1 means that performance degrades, and >1 means that performance improves.
- */
-data class PerformanceInterferenceModelItem(
-    val workloadNames: Set<String>,
-    val minServerLoad: Double,
-    val performanceScore: Double
-) {
-    override fun equals(other: Any?): Boolean {
-        if (this === other) return true
-        if (javaClass != other?.javaClass) return false
-
-        other as PerformanceInterferenceModelItem
-
-        if (workloadNames != other.workloadNames) return false
-
-        return true
-    }
-
-    override fun hashCode(): Int = workloadNames.hashCode()
-}
-- 
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