Merge branch 'master' of tea.maggioni.xyz:maggicl/bachelorThesis
2
.gitignore
vendored
|
@ -2,6 +2,8 @@
|
||||||
task_slowdown/?_state_changes.json.gz
|
task_slowdown/?_state_changes.json.gz
|
||||||
**/*.gz
|
**/*.gz
|
||||||
|
|
||||||
|
**/.DS_Store
|
||||||
|
|
||||||
figure_9/*.parquet/
|
figure_9/*.parquet/
|
||||||
figure_9/?_task_count/
|
figure_9/?_task_count/
|
||||||
figure_9/?_machine_locality/
|
figure_9/?_machine_locality/
|
||||||
|
|
|
@ -3,7 +3,6 @@
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 9,
|
"execution_count": 9,
|
||||||
"id": "black-funeral",
|
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": [
|
"source": [
|
||||||
|
@ -20,7 +19,6 @@
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 10,
|
"execution_count": 10,
|
||||||
"id": "68c2f54a-f838-4d41-af1e-d63f13f3d894",
|
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": [
|
"source": [
|
||||||
|
@ -30,7 +28,6 @@
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 11,
|
"execution_count": 11,
|
||||||
"id": "87bfcdfc-6fee-4cb5-8054-d278700bbbee",
|
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": [
|
"source": [
|
||||||
|
@ -89,7 +86,6 @@
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 31,
|
"execution_count": 31,
|
||||||
"id": "fe6f1eb5-bf36-49b7-854f-6b9dfa51f766",
|
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": [
|
"source": [
|
||||||
|
@ -124,7 +120,6 @@
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 36,
|
"execution_count": 36,
|
||||||
"id": "2eb1f8de-81ef-4301-abd3-262fdfd29eda",
|
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": [
|
"source": [
|
||||||
|
@ -150,7 +145,6 @@
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 37,
|
"execution_count": 37,
|
||||||
"id": "a9a09b9c-4281-41f4-a069-eb954e0a018f",
|
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
|
@ -480,7 +474,6 @@
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": null,
|
"execution_count": null,
|
||||||
"id": "f388dc45-2649-479d-a3dc-4ee2ccbd0bbd",
|
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": []
|
"source": []
|
||||||
|
@ -488,9 +481,9 @@
|
||||||
],
|
],
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"kernelspec": {
|
"kernelspec": {
|
||||||
"display_name": "venv",
|
"display_name": "Python 3",
|
||||||
"language": "python",
|
"language": "python",
|
||||||
"name": "venv"
|
"name": "python3"
|
||||||
},
|
},
|
||||||
"language_info": {
|
"language_info": {
|
||||||
"codemirror_mode": {
|
"codemirror_mode": {
|
||||||
|
@ -502,7 +495,7 @@
|
||||||
"name": "python",
|
"name": "python",
|
||||||
"nbconvert_exporter": "python",
|
"nbconvert_exporter": "python",
|
||||||
"pygments_lexer": "ipython3",
|
"pygments_lexer": "ipython3",
|
||||||
"version": "3.9.4"
|
"version": "3.8.3"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"nbformat": 4,
|
"nbformat": 4,
|
||||||
|
|
|
@ -3,7 +3,6 @@
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 1,
|
"execution_count": 1,
|
||||||
"id": "black-funeral",
|
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": [
|
"source": [
|
||||||
|
@ -20,7 +19,6 @@
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 2,
|
"execution_count": 2,
|
||||||
"id": "68c2f54a-f838-4d41-af1e-d63f13f3d894",
|
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": [
|
"source": [
|
||||||
|
@ -30,7 +28,6 @@
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 15,
|
"execution_count": 15,
|
||||||
"id": "fe6f1eb5-bf36-49b7-854f-6b9dfa51f766",
|
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": [
|
"source": [
|
||||||
|
@ -65,7 +62,6 @@
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 27,
|
"execution_count": 27,
|
||||||
"id": "a9a09b9c-4281-41f4-a069-eb954e0a018f",
|
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
|
@ -419,7 +415,6 @@
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": null,
|
"execution_count": null,
|
||||||
"id": "a81da964-f539-49df-8fa3-7b358ea642e1",
|
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": []
|
"source": []
|
||||||
|
@ -427,9 +422,9 @@
|
||||||
],
|
],
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"kernelspec": {
|
"kernelspec": {
|
||||||
"display_name": "venv",
|
"display_name": "Python 3",
|
||||||
"language": "python",
|
"language": "python",
|
||||||
"name": "venv"
|
"name": "python3"
|
||||||
},
|
},
|
||||||
"language_info": {
|
"language_info": {
|
||||||
"codemirror_mode": {
|
"codemirror_mode": {
|
||||||
|
@ -441,7 +436,7 @@
|
||||||
"name": "python",
|
"name": "python",
|
||||||
"nbconvert_exporter": "python",
|
"nbconvert_exporter": "python",
|
||||||
"pygments_lexer": "ipython3",
|
"pygments_lexer": "ipython3",
|
||||||
"version": "3.9.4"
|
"version": "3.8.3"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"nbformat": 4,
|
"nbformat": 4,
|
||||||
|
|
|
@ -2,7 +2,6 @@
|
||||||
"cells": [
|
"cells": [
|
||||||
{
|
{
|
||||||
"cell_type": "markdown",
|
"cell_type": "markdown",
|
||||||
"id": "built-symbol",
|
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"source": [
|
"source": [
|
||||||
"# Machine configurations\n",
|
"# Machine configurations\n",
|
||||||
|
@ -15,7 +14,6 @@
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 1,
|
"execution_count": 1,
|
||||||
"id": "stuffed-lightning",
|
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": [
|
"source": [
|
||||||
|
@ -31,7 +29,6 @@
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 3,
|
"execution_count": 3,
|
||||||
"id": "upper-lloyd",
|
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": [
|
"source": [
|
||||||
|
@ -58,7 +55,6 @@
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 4,
|
"execution_count": 4,
|
||||||
"id": "presidential-farmer",
|
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
|
@ -127,7 +123,6 @@
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 5,
|
"execution_count": 5,
|
||||||
"id": "informative-vietnam",
|
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": [
|
"source": [
|
||||||
|
@ -150,7 +145,6 @@
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": 6,
|
"execution_count": 6,
|
||||||
"id": "pretty-taiwan",
|
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
|
@ -1562,7 +1556,6 @@
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": null,
|
"execution_count": null,
|
||||||
"id": "supreme-hepatitis",
|
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": []
|
"source": []
|
||||||
|
@ -1584,7 +1577,7 @@
|
||||||
"name": "python",
|
"name": "python",
|
||||||
"nbconvert_exporter": "python",
|
"nbconvert_exporter": "python",
|
||||||
"pygments_lexer": "ipython3",
|
"pygments_lexer": "ipython3",
|
||||||
"version": "3.6.9"
|
"version": "3.8.3"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"nbformat": 4,
|
"nbformat": 4,
|
||||||
|
|
173
report/Claudio_Maggioni_report.md
Normal file
|
@ -0,0 +1,173 @@
|
||||||
|
---
|
||||||
|
documentclass: usiinfbachelorproject
|
||||||
|
title: Understanding and Comparing Unsuccessful Executions in Large Datacenters
|
||||||
|
author: Claudio Maggioni
|
||||||
|
|
||||||
|
pandoc-options:
|
||||||
|
- --filter=pandoc-include
|
||||||
|
- --latex-engine-opt=--shell-escape
|
||||||
|
- --latex-engine-opt=--enable-write18
|
||||||
|
|
||||||
|
header-includes:
|
||||||
|
- |
|
||||||
|
```{=latex}
|
||||||
|
\usepackage{subcaption}
|
||||||
|
\usepackage{booktabs}
|
||||||
|
\usepackage{graphicx}
|
||||||
|
|
||||||
|
\captionsetup{labelfont={bf}}
|
||||||
|
%\subtitle{The (optional) subtitle}
|
||||||
|
|
||||||
|
\versiondate{\today}
|
||||||
|
|
||||||
|
\begin{committee}
|
||||||
|
\advisor[Universit\`a della Svizzera Italiana,
|
||||||
|
Switzerland]{Prof.}{Walter}{Binder}
|
||||||
|
\assistant[Universit\`a della Svizzera Italiana,
|
||||||
|
Switzerland]{Dr.}{Andrea}{Ros\'a}
|
||||||
|
\end{committee}
|
||||||
|
|
||||||
|
\abstract{The project aims at comparing two different traces coming from large
|
||||||
|
datacenters, focusing in particular on unsuccessful executions of jobs and
|
||||||
|
tasks submitted by users. The objective of this project is to compare the
|
||||||
|
resource waste caused by unsuccessful executions, their impact on application
|
||||||
|
performance, and their root causes. We will show the strong negative impact on
|
||||||
|
CPU and RAM usage and on task slowdown. We will analyze patterns of
|
||||||
|
unsuccessful jobs and tasks, particularly focusing on their interdependency.
|
||||||
|
Moreover, we will uncover their root causes by inspecting key workload and
|
||||||
|
system attributes such asmachine locality and concurrency level.}
|
||||||
|
```
|
||||||
|
---
|
||||||
|
|
||||||
|
# Introduction (including Motivation)
|
||||||
|
|
||||||
|
# State of the Art
|
||||||
|
|
||||||
|
- Introduce Ros\'a 2015 DSN paper on analysis
|
||||||
|
- Describe Google Borg clusters
|
||||||
|
- Describe Traces contents
|
||||||
|
- Differences between 2011 and 2019 traces
|
||||||
|
|
||||||
|
# Project requirements and analysis
|
||||||
|
|
||||||
|
(describe our objective with this analysis in detail)
|
||||||
|
|
||||||
|
# Analysis methodology
|
||||||
|
|
||||||
|
## Technical overview of traces' file format and schema
|
||||||
|
|
||||||
|
## Overview on challenging aspects of analysis (data size, schema, avaliable computation resources)
|
||||||
|
|
||||||
|
## Introduction on apache spark
|
||||||
|
|
||||||
|
## General workflow description of apache spark workflow
|
||||||
|
|
||||||
|
The Google 2019 Borg cluster traces analysis were conducted by using Apache
|
||||||
|
Spark and its Python 3 API (pyspark). Spark was used to execute a series of
|
||||||
|
queries to perform various sums and aggregations over the entire dataset
|
||||||
|
provided by Google.
|
||||||
|
|
||||||
|
In general, each query follows a general Map-Reduce template, where traces are
|
||||||
|
first read, parsed, filtered by performing selections, projections and computing
|
||||||
|
new derived fields. Then, the trace records are often grouped by one of their
|
||||||
|
fields, clustering related data toghether before a reduce or fold operation is
|
||||||
|
applied to each grouping.
|
||||||
|
|
||||||
|
Most input data is in JSONL format and adheres to a schema Google profided in
|
||||||
|
the form of a protobuffer specification[^1].
|
||||||
|
|
||||||
|
[^1]: [Google 2019 Borg traces Protobuffer specification on Github](
|
||||||
|
https://github.com/google/cluster-data/blob/master/clusterdata_trace_format_v3.proto)
|
||||||
|
|
||||||
|
On of the main quirks in the traces is that fields that have a "zero" value
|
||||||
|
(i.e. a value like 0 or the empty string) are often omitted in the JSON object
|
||||||
|
records. When reading the traces in Apache Spark is therefore necessary to check
|
||||||
|
for this possibility and populate those zero fields when omitted.
|
||||||
|
|
||||||
|
Most queries use only two or three fields in each trace records, while the
|
||||||
|
original records often are made of a couple of dozen fields. In order to save
|
||||||
|
memory during the query, a projection is often applied to the data by the means
|
||||||
|
of a .map() operation over the entire trace set, performed using Spark's RDD
|
||||||
|
API.
|
||||||
|
|
||||||
|
Another operation that is often necessary to perform prior to the Map-Reduce core of
|
||||||
|
each query is a record filtering process, which is often motivated by the
|
||||||
|
presence of incomplete data (i.e. records which contain fields whose values is
|
||||||
|
unknown). This filtering is performed using the .filter() operation of Spark's
|
||||||
|
RDD API.
|
||||||
|
|
||||||
|
The core of each query is often a groupBy followed by a map() operation on the
|
||||||
|
aggregated data. The groupby groups the set of all records into several subsets
|
||||||
|
of records each having something in common. Then, each of this small clusters is
|
||||||
|
reduced with a .map() operation to a single record. The motivation behind this
|
||||||
|
computation is often to analyze a time series of several different traces of
|
||||||
|
programs. This is implemented by groupBy()-ing records by program id, and then
|
||||||
|
map()-ing each program trace set by sorting by time the traces and computing the
|
||||||
|
desired property in the form of a record.
|
||||||
|
|
||||||
|
Sometimes intermediate results are saved in Spark's parquet format in order to
|
||||||
|
compute and save intermediate results beforehand.
|
||||||
|
|
||||||
|
## General Query script design
|
||||||
|
|
||||||
|
## Ad-Hoc presentation of some analysis scripts (w diagrams)
|
||||||
|
|
||||||
|
# Analysis (w observations)
|
||||||
|
|
||||||
|
## machine_configs
|
||||||
|
|
||||||
|
\input{figures/machine_configs}
|
||||||
|
|
||||||
|
**Observations**:
|
||||||
|
|
||||||
|
- machine configurations are definitely more varied than the ones in the 2011
|
||||||
|
traces
|
||||||
|
- some clusters have more machine variability
|
||||||
|
|
||||||
|
## machine_time_waste
|
||||||
|
|
||||||
|
\input{figures/machine_time_waste}
|
||||||
|
|
||||||
|
**Observations**:
|
||||||
|
|
||||||
|
## task_slowdown
|
||||||
|
## spatial_resource_waste
|
||||||
|
## figure_7
|
||||||
|
## figure_8
|
||||||
|
## figure_9
|
||||||
|
## table_iii, table_iv, figure_v
|
||||||
|
|
||||||
|
## Potential causes of unsuccesful executions
|
||||||
|
|
||||||
|
# Implementation issues -- Analysis limitations
|
||||||
|
|
||||||
|
## Discussion on unknown fields
|
||||||
|
|
||||||
|
## Limitation on computation resources required for the analysis
|
||||||
|
|
||||||
|
## Other limitations ...
|
||||||
|
|
||||||
|
# Conclusions and future work or possible developments
|
||||||
|
|
||||||
|
|
||||||
|
Some examples
|
||||||
|
-------------
|
||||||
|
|
||||||
|
**Figure [1](#fig:USILogo){reference-type="ref"
|
||||||
|
reference="fig:USILogo"}** shows how to insert figures in the document.
|
||||||
|
|
||||||
|
![Caption of the figure](logo-info.pdf){#fig:USILogo width="50%"}
|
||||||
|
|
||||||
|
**Table [1](#tab:numbers){reference-type="ref"
|
||||||
|
reference="tab:numbers"}** shows how to insert tables in the document.
|
||||||
|
|
||||||
|
::: {#tab:numbers}
|
||||||
|
**Col 1** **Col 2** **Col 3** **Col 4**
|
||||||
|
----------- ----------- ----------- -----------
|
||||||
|
1 2 3 Goofy
|
||||||
|
4 5 6 Mickey
|
||||||
|
|
||||||
|
: Caption of the table
|
||||||
|
:::
|
||||||
|
|
||||||
|
<!-- vim: set ts=2 sw=2 et tw=80: -->
|
BIN
report/Claudio_Maggioni_report.pdf
Normal file
170
report/figures/machine_configs.tex
Normal file
|
@ -0,0 +1,170 @@
|
||||||
|
\newcommand{\machineconfigs}[3][0.9\textwidth]{
|
||||||
|
\begin{subfigure}{0.32\textwidth}
|
||||||
|
\begin{minipage}[c][#1]{\textwidth}%
|
||||||
|
\resizebox{\textwidth}{!}{
|
||||||
|
\centering
|
||||||
|
\begin{tabular}{llll}
|
||||||
|
\toprule
|
||||||
|
\textbf{CPU (NCU)} & \textbf{RAM (NMU)} & \textbf{Machine count} &
|
||||||
|
\textbf{\% Machines} \\
|
||||||
|
\midrule
|
||||||
|
#3
|
||||||
|
\bottomrule
|
||||||
|
\end{tabular}}
|
||||||
|
\end{minipage}
|
||||||
|
\caption{#2}
|
||||||
|
\end{subfigure}}
|
||||||
|
|
||||||
|
\begin{figure}
|
||||||
|
\centering
|
||||||
|
\machineconfigs[1.2\textwidth]{All clusters}{
|
||||||
|
Unknown & Unknown & 8729 & 1.639218\% \\
|
||||||
|
1.000000 & 0.500000 & 124234 & 23.329891\% \\
|
||||||
|
0.591797 & 0.333496 & 103013 & 19.344801\% \\
|
||||||
|
0.259277 & 0.166748 & 78078 & 14.662260\% \\
|
||||||
|
0.708984 & 0.333496 & 55801 & 10.478864\% \\
|
||||||
|
0.386719 & 0.333496 & 36237 & 6.804943\% \\
|
||||||
|
0.958984 & 0.500000 & 31151 & 5.849843\% \\
|
||||||
|
0.708984 & 0.666992 & 29594 & 5.557454\% \\
|
||||||
|
0.386719 & 0.166748 & 27011 & 5.072393\% \\
|
||||||
|
1.000000 & 1.000000 & 12286 & 2.307187\% \\
|
||||||
|
0.591797 & 0.166748 & 9902 & 1.859496\% \\
|
||||||
|
1.000000 & 0.250000 & 7550 & 1.417814\% \\
|
||||||
|
0.958984 & 1.000000 & 3552 & 0.667030\% \\
|
||||||
|
0.259277 & 0.333496 & 3024 & 0.567877\% \\
|
||||||
|
0.591797 & 0.666992 & 1000 & 0.187790\% \\
|
||||||
|
0.259277 & 0.083374 & 634 & 0.119059\% \\
|
||||||
|
0.958984 & 0.250000 & 600 & 0.112674\% \\
|
||||||
|
0.500000 & 0.062500 & 54 & 0.010141\% \\
|
||||||
|
0.500000 & 0.250000 & 34 & 0.006385\% \\
|
||||||
|
0.479492 & 0.250000 & 12 & 0.002253\% \\
|
||||||
|
0.708984 & 0.250000 & 6 & 0.001127\% \\
|
||||||
|
0.591797 & 0.250000 & 4 & 0.000751\% \\
|
||||||
|
0.708984 & 0.500000 & 2 & 0.000376\% \\
|
||||||
|
0.479492 & 0.500000 & 2 & 0.000376\% \\
|
||||||
|
}
|
||||||
|
\machineconfigs[1.2\textwidth]{A cluster}{
|
||||||
|
Unknown & Unknown & 1377 & 1.623170\% \\
|
||||||
|
0.591797 & 0.333496 & 29487 & 34.758469\% \\
|
||||||
|
1.000000 & 0.500000 & 13440 & 15.842705\% \\
|
||||||
|
0.708984 & 0.333496 & 12495 & 14.728764\% \\
|
||||||
|
0.386719 & 0.333496 & 9057 & 10.676144\% \\
|
||||||
|
0.386719 & 0.166748 & 5265 & 6.206238\% \\
|
||||||
|
0.708984 & 0.666992 & 4608 & 5.431784\% \\
|
||||||
|
1.000000 & 1.000000 & 4446 & 5.240823\% \\
|
||||||
|
0.591797 & 0.166748 & 2484 & 2.928071\% \\
|
||||||
|
0.958984 & 0.500000 & 1143 & 1.347337\% \\
|
||||||
|
0.958984 & 1.000000 & 654 & 0.770917\% \\
|
||||||
|
1.000000 & 0.250000 & 366 & 0.431431\% \\
|
||||||
|
0.479492 & 0.250000 & 6 & 0.007073\% \\
|
||||||
|
0.708984 & 0.250000 & 6 & 0.007073\% \\
|
||||||
|
}
|
||||||
|
\machineconfigs[1.2\textwidth]{Cluster B}{
|
||||||
|
Unknown & Unknown & 134 & 0.264812\% \\
|
||||||
|
0.591797 & 0.333496 & 16184 & 31.982926\% \\
|
||||||
|
1.000000 & 0.500000 & 9790 & 19.347061\% \\
|
||||||
|
0.708984 & 0.333496 & 8448 & 16.694992\% \\
|
||||||
|
0.958984 & 0.500000 & 5502 & 10.873088\% \\
|
||||||
|
0.708984 & 0.666992 & 3832 & 7.572823\% \\
|
||||||
|
1.000000 & 1.000000 & 2214 & 4.375321\% \\
|
||||||
|
0.591797 & 0.166748 & 2152 & 4.252796\% \\
|
||||||
|
0.386719 & 0.333496 & 816 & 1.612584\% \\
|
||||||
|
0.958984 & 1.000000 & 618 & 1.221296\% \\
|
||||||
|
0.591797 & 0.666992 & 500 & 0.988103\% \\
|
||||||
|
0.386719 & 0.166748 & 412 & 0.814197\% \\
|
||||||
|
}
|
||||||
|
\machineconfigs{Cluster C}{
|
||||||
|
Unknown & Unknown & 1466 & 2.274208\% \\
|
||||||
|
0.259277 & 0.166748 & 15754 & 24.439204\% \\
|
||||||
|
0.386719 & 0.333496 & 11104 & 17.225652\% \\
|
||||||
|
0.591797 & 0.333496 & 10404 & 16.139741\% \\
|
||||||
|
0.958984 & 0.500000 & 6634 & 10.291334\% \\
|
||||||
|
1.000000 & 0.500000 & 5654 & 8.771059\% \\
|
||||||
|
0.386719 & 0.166748 & 3580 & 5.553660\% \\
|
||||||
|
0.708984 & 0.666992 & 2900 & 4.498774\% \\
|
||||||
|
1.000000 & 1.000000 & 2736 & 4.244361\% \\
|
||||||
|
1.000000 & 0.250000 & 2132 & 3.307375\% \\
|
||||||
|
0.958984 & 1.000000 & 766 & 1.188297\% \\
|
||||||
|
0.708984 & 0.333496 & 620 & 0.961807\% \\
|
||||||
|
0.958984 & 0.250000 & 600 & 0.930781\% \\
|
||||||
|
0.591797 & 0.166748 & 112 & 0.173746\% \\
|
||||||
|
}
|
||||||
|
\machineconfigs{Cluster D}{
|
||||||
|
Unknown & Unknown & 498 & 0.794309\% \\
|
||||||
|
0.591797 & 0.333496 & 28394 & 45.288376\% \\
|
||||||
|
0.386719 & 0.333496 & 8402 & 13.401174\% \\
|
||||||
|
0.259277 & 0.166748 & 8020 & 12.791885\% \\
|
||||||
|
0.386719 & 0.166748 & 5806 & 9.260559\% \\
|
||||||
|
0.708984 & 0.666992 & 4380 & 6.986092\% \\
|
||||||
|
0.708984 & 0.333496 & 3924 & 6.258772\% \\
|
||||||
|
0.591797 & 0.166748 & 2548 & 4.064055\% \\
|
||||||
|
0.259277 & 0.333496 & 426 & 0.679469\% \\
|
||||||
|
1.000000 & 0.500000 & 292 & 0.465739\% \\
|
||||||
|
0.591797 & 0.250000 & 4 & 0.006380\% \\
|
||||||
|
0.708984 & 0.500000 & 2 & 0.003190\% \\
|
||||||
|
}
|
||||||
|
\machineconfigs{Cluster E}{
|
||||||
|
Unknown & Unknown & 536 & 0.671915\% \\
|
||||||
|
0.259277 & 0.166748 & 38452 & 48.202377\% \\
|
||||||
|
0.708984 & 0.333496 & 11786 & 14.774608\% \\
|
||||||
|
0.958984 & 0.500000 & 8646 & 10.838389\% \\
|
||||||
|
0.708984 & 0.666992 & 7606 & 9.534674\% \\
|
||||||
|
1.000000 & 0.500000 & 5586 & 7.002457\% \\
|
||||||
|
0.386719 & 0.166748 & 4470 & 5.603470\% \\
|
||||||
|
0.259277 & 0.333496 & 1268 & 1.589530\% \\
|
||||||
|
0.259277 & 0.083374 & 634 & 0.794765\% \\
|
||||||
|
0.591797 & 0.333496 & 324 & 0.406158\% \\
|
||||||
|
1.000000 & 0.250000 & 268 & 0.335957\% \\
|
||||||
|
1.000000 & 1.000000 & 138 & 0.172993\% \\
|
||||||
|
0.500000 & 0.062500 & 54 & 0.067693\% \\
|
||||||
|
0.500000 & 0.250000 & 4 & 0.005014\% \\
|
||||||
|
}
|
||||||
|
\machineconfigs{Cluster F}{
|
||||||
|
Unknown & Unknown & 1432 & 2.299958\% \\
|
||||||
|
1.000000 & 0.500000 & 41340 & 66.396839\% \\
|
||||||
|
0.708984 & 0.333496 & 6878 & 11.046866\% \\
|
||||||
|
0.591797 & 0.333496 & 5564 & 8.936430\% \\
|
||||||
|
0.958984 & 0.500000 & 2172 & 3.488484\% \\
|
||||||
|
0.386719 & 0.166748 & 1544 & 2.479843\% \\
|
||||||
|
0.708984 & 0.666992 & 1244 & 1.998008\% \\
|
||||||
|
1.000000 & 0.250000 & 792 & 1.272044\% \\
|
||||||
|
0.958984 & 1.000000 & 536 & 0.860878\% \\
|
||||||
|
0.386719 & 0.333496 & 398 & 0.639234\% \\
|
||||||
|
1.000000 & 1.000000 & 344 & 0.552504\% \\
|
||||||
|
0.500000 & 0.250000 & 18 & 0.028910\% \\
|
||||||
|
}
|
||||||
|
\machineconfigs{Cluster G}{
|
||||||
|
Unknown & Unknown & 1566 & 2.261568\% \\
|
||||||
|
0.259277 & 0.166748 & 15852 & 22.892958\% \\
|
||||||
|
1.000000 & 0.500000 & 11808 & 17.052741\% \\
|
||||||
|
0.708984 & 0.333496 & 7968 & 11.507134\% \\
|
||||||
|
0.591797 & 0.333496 & 7830 & 11.307839\% \\
|
||||||
|
0.386719 & 0.166748 & 4690 & 6.773150\% \\
|
||||||
|
0.708984 & 0.666992 & 4258 & 6.149269\% \\
|
||||||
|
0.958984 & 0.500000 & 4196 & 6.059731\% \\
|
||||||
|
0.386719 & 0.333496 & 3864 & 5.580267\% \\
|
||||||
|
0.591797 & 0.166748 & 2606 & 3.763503\% \\
|
||||||
|
1.000000 & 0.250000 & 2100 & 3.032754\% \\
|
||||||
|
0.259277 & 0.333496 & 1330 & 1.920744\% \\
|
||||||
|
0.958984 & 1.000000 & 778 & 1.123563\% \\
|
||||||
|
1.000000 & 1.000000 & 378 & 0.545896\% \\
|
||||||
|
0.500000 & 0.250000 & 12 & 0.017330\% \\
|
||||||
|
0.479492 & 0.250000 & 6 & 0.008665\% \\
|
||||||
|
0.479492 & 0.500000 & 2 & 0.002888\% \\
|
||||||
|
}
|
||||||
|
\machineconfigs{Cluster H}{
|
||||||
|
Unknown & Unknown & 1720 & 2.933251\% \\
|
||||||
|
1.000000 & 0.500000 & 36324 & 61.946178\% \\
|
||||||
|
0.591797 & 0.333496 & 4826 & 8.230158\% \\
|
||||||
|
0.708984 & 0.333496 & 3682 & 6.279205\% \\
|
||||||
|
0.958984 & 0.500000 & 2858 & 4.873973\% \\
|
||||||
|
0.386719 & 0.333496 & 2596 & 4.427163\% \\
|
||||||
|
1.000000 & 1.000000 & 2030 & 3.461919\% \\
|
||||||
|
1.000000 & 0.250000 & 1892 & 3.226577\% \\
|
||||||
|
0.386719 & 0.166748 & 1244 & 2.121491\% \\
|
||||||
|
0.708984 & 0.666992 & 766 & 1.306320\% \\
|
||||||
|
0.591797 & 0.666992 & 500 & 0.852689\% \\
|
||||||
|
0.958984 & 1.000000 & 200 & 0.341076\% \\
|
||||||
|
}
|
||||||
|
\caption{Overwiew of machine configurations in terms of CPU and RAM resources for each cluster}
|
||||||
|
\end{figure}
|
58
report/figures/machine_time_waste.tex
Normal file
|
@ -0,0 +1,58 @@
|
||||||
|
\newcommand{\machinetimewaste}[3][0]{
|
||||||
|
\begin{subfigure}{\ifnum#1=1 0.5\textwidth \else 0.24\textwidth \fi}
|
||||||
|
\vspace{0.5cm}
|
||||||
|
%\ifnum#1=1 \hspace{0.25\textwidth} \fi
|
||||||
|
\begin{minipage}[c]{\textwidth}%
|
||||||
|
\includegraphics[width=1\textwidth]{figures/machine_time_waste/#3}
|
||||||
|
\end{minipage}
|
||||||
|
%\hfill
|
||||||
|
\caption{#2}
|
||||||
|
\end{subfigure}}
|
||||||
|
|
||||||
|
\newcommand{\machinetimewastelegend}{
|
||||||
|
\begin{subfigure}{0.5\textwidth}
|
||||||
|
\vspace{0.5cm}
|
||||||
|
\centering
|
||||||
|
\begin{tabular}{cc}
|
||||||
|
\toprule
|
||||||
|
\textbf{Color} & \textbf{Execution phase} \\
|
||||||
|
\midrule
|
||||||
|
{\color{blue}Blue} & Queued \\
|
||||||
|
{\color{orange}Orange} & Ended \\
|
||||||
|
{\color{teal}Green} & Ready \\
|
||||||
|
{\color{red}Red} & Running \\
|
||||||
|
{\color{violet}Violet} & Evicted \\
|
||||||
|
{\color{brown}Brown} & Unknown \\
|
||||||
|
\bottomrule
|
||||||
|
\end{tabular}
|
||||||
|
\caption{Execution state legend for the graphs}
|
||||||
|
\end{subfigure}
|
||||||
|
\hfill}
|
||||||
|
|
||||||
|
\begin{figure}
|
||||||
|
\machinetimewastelegend
|
||||||
|
\machinetimewaste[1]{All clusters}{output_9_16.png}
|
||||||
|
\machinetimewaste{Cluster A}{output_9_0.png}
|
||||||
|
\machinetimewaste{Cluster B}{output_9_2.png}
|
||||||
|
\machinetimewaste{Cluster C}{output_9_4.png}
|
||||||
|
\machinetimewaste{Cluster D}{output_9_6.png}
|
||||||
|
\machinetimewaste{Cluster E}{output_9_8.png}
|
||||||
|
\machinetimewaste{Cluster F}{output_9_10.png}
|
||||||
|
\machinetimewaste{Cluster G}{output_9_12.png}
|
||||||
|
\machinetimewaste{Cluster H}{output_9_14.png}
|
||||||
|
\caption{Total task time (in milliseconds) spent in each execution phase w.r.t. task termination.}
|
||||||
|
\end{figure}
|
||||||
|
|
||||||
|
\begin{figure}
|
||||||
|
\machinetimewastelegend
|
||||||
|
\machinetimewaste[1]{All clusters}{output_9_17.png}
|
||||||
|
\machinetimewaste{Cluster A}{output_9_1.png}
|
||||||
|
\machinetimewaste{Cluster B}{output_9_3.png}
|
||||||
|
\machinetimewaste{Cluster C}{output_9_5.png}
|
||||||
|
\machinetimewaste{Cluster D}{output_9_7.png}
|
||||||
|
\machinetimewaste{Cluster E}{output_9_9.png}
|
||||||
|
\machinetimewaste{Cluster F}{output_9_11.png}
|
||||||
|
\machinetimewaste{Cluster G}{output_9_13.png}
|
||||||
|
\machinetimewaste{Cluster H}{output_9_15.png}
|
||||||
|
\caption{Relative task time (in milliseconds) spent in each execution phase w.r.t. task termination.}
|
||||||
|
\end{figure}
|
BIN
report/figures/machine_time_waste/output_9_0.png
Normal file
After Width: | Height: | Size: 13 KiB |
BIN
report/figures/machine_time_waste/output_9_1.png
Normal file
After Width: | Height: | Size: 11 KiB |
BIN
report/figures/machine_time_waste/output_9_10.png
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After Width: | Height: | Size: 13 KiB |
BIN
report/figures/machine_time_waste/output_9_11.png
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After Width: | Height: | Size: 11 KiB |
BIN
report/figures/machine_time_waste/output_9_12.png
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After Width: | Height: | Size: 13 KiB |
BIN
report/figures/machine_time_waste/output_9_13.png
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After Width: | Height: | Size: 11 KiB |
BIN
report/figures/machine_time_waste/output_9_14.png
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After Width: | Height: | Size: 12 KiB |
BIN
report/figures/machine_time_waste/output_9_15.png
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After Width: | Height: | Size: 11 KiB |
BIN
report/figures/machine_time_waste/output_9_16.png
Normal file
After Width: | Height: | Size: 13 KiB |
BIN
report/figures/machine_time_waste/output_9_17.png
Normal file
After Width: | Height: | Size: 11 KiB |
BIN
report/figures/machine_time_waste/output_9_2.png
Normal file
After Width: | Height: | Size: 12 KiB |
BIN
report/figures/machine_time_waste/output_9_3.png
Normal file
After Width: | Height: | Size: 11 KiB |
BIN
report/figures/machine_time_waste/output_9_4.png
Normal file
After Width: | Height: | Size: 13 KiB |
BIN
report/figures/machine_time_waste/output_9_5.png
Normal file
After Width: | Height: | Size: 11 KiB |
BIN
report/figures/machine_time_waste/output_9_6.png
Normal file
After Width: | Height: | Size: 12 KiB |
BIN
report/figures/machine_time_waste/output_9_7.png
Normal file
After Width: | Height: | Size: 11 KiB |
BIN
report/figures/machine_time_waste/output_9_8.png
Normal file
After Width: | Height: | Size: 13 KiB |
BIN
report/figures/machine_time_waste/output_9_9.png
Normal file
After Width: | Height: | Size: 11 KiB |
915
report/logo-info.pdf
Normal file
|
@ -0,0 +1,915 @@
|
||||||
|
%PDF-1.4
%âãÏÓ
|
||||||
|
1 0 obj
<</Metadata 22 0 R/Pages 2 0 R/Type/Catalog>>
endobj
22 0 obj
<</Subtype/XML/Length 29880/Type/Metadata>>stream
|
||||||
|
<?xpacket begin="" id="W5M0MpCehiHzreSzNTczkc9d"?>
|
||||||
|
<x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 4.1-c036 46.277092, Fri Feb 23 2007 14:17:08 ">
|
||||||
|
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#">
|
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