more report work

This commit is contained in:
Claudio Maggioni 2021-05-13 11:21:18 +02:00
parent cb14892e7e
commit 62865b3322
57 changed files with 792 additions and 10 deletions

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@ -118,6 +118,8 @@ compute and save intermediate results beforehand.
\input{figures/machine_configs} \input{figures/machine_configs}
Refer to figure \ref{fig:machineconfigs}.
**Observations**: **Observations**:
- machine configurations are definitely more varied than the ones in the 2011 - machine configurations are definitely more varied than the ones in the 2011
@ -128,6 +130,9 @@ compute and save intermediate results beforehand.
\input{figures/machine_time_waste} \input{figures/machine_time_waste}
Refer to figures \ref{fig:machinetimewaste-abs} and
\ref{fig:machinetimewaste-rel}.
**Observations**: **Observations**:
- Across all cluster almost 50% of time is spent in "unknown" transitions, i.e. - Across all cluster almost 50% of time is spent in "unknown" transitions, i.e.
@ -147,8 +152,29 @@ compute and save intermediate results beforehand.
## task_slowdown ## task_slowdown
\input{figures/task_slowdown}
Refer to figure \ref{fig:taskslowdown}
**Observations**:
- Priority values are different from 0-11 values in the 2011 traces. A
conversion table is provided by Google;
- For some priorities (e.g. 101 for cluster D) the relative number of finishing
task is very low and the mean slowdown is very high (315). This behaviour
differs from the relatively homogeneous values from the 2011 traces.
- Some slowdown values cannot be computed since either some tasks have a 0ns
execution time or for some priorities no tasks in the traces terminate
successfully. More raw data on those exception is in Jupyter.
- The % of finishing jobs is relatively low comparing with the 2011 traces.
## spatial_resource_waste
\input{figures/spatial_resource_waste} \input{figures/spatial_resource_waste}
Refer to figures \ref{fig:spatialresourcewaste-actual} and
\ref{fig:spatialresourcewaste-requested}.
**Observations**: **Observations**:
- Most (mesasured and requested) resources are used by killed job, even more - Most (mesasured and requested) resources are used by killed job, even more
@ -157,13 +183,48 @@ compute and save intermediate results beforehand.
cluster G where a lot of LOST-terminated tasks acquired 70% of both CPU and cluster G where a lot of LOST-terminated tasks acquired 70% of both CPU and
RAM RAM
## spatial_resource_waste
\input{figures/task_slowdown}
## figure_7 ## figure_7
\input{figures/figure_7}
Refer to figures \ref{fig:figureVII-a}, \ref{fig:figureVII-b}, and
\ref{fig:figureVII-c}.
**Observations**:
- No smooth curves in this figure either, unlike 2011 traces
- The behaviour of curves for 7a (priority) is almost the opposite of 2011, i.e.
in-between priorities have higher kill rates while priorities at the extremum
have lower kill rates. This could also be due bt the inherent distribution of
job terminations;
- Event execution time curves are quite different than 2011, here it seems there
is a good correlation between short task execution times and finish event
rates, instead of the U shape curve in 2015 DSN
- In figure \ref{fig:figureVII-b} cluster behaviour seems quite uniform
- Machine concurrency seems to play little role in the event termination
distribution, as for all concurrency factors the kill rate is at 90%.
## figure_8 ## figure_8
## figure_9 ## figure_9
\input{figures/figure_9}
Refer to figures \ref{fig:figureIX-a}, \ref{fig:figureIX-b}, and
\ref{fig:figureIX-c}.
**Observations**:
- Behaviour between cluster varies a lot
- There are no "smooth" gradients in the various curves unlike in the 2011
traces
- Killed jobs have higher event rates in general, and overall dominate all event
rates measures
- There still seems to be a correlation between short execution job times and
successfull final termination, and likewise for kills and higher job
terminations
- Across all clusters, a machine locality factor of 1 seems to lead to the
highest success event rate
## table_iii, table_iv, figure_v ## table_iii, table_iv, figure_v
## Potential causes of unsuccesful executions ## Potential causes of unsuccesful executions

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\newcommand{\figureVII}[3][0.242\textwidth]{
\begin{subfigure}{#1}
\vspace{0.5cm}
\begin{minipage}[c]{\textwidth}%
\includegraphics[width=1\textwidth]{figures/figure_7/#3}
\end{minipage}
\caption{#2}
\end{subfigure}}
\begin{figure}
\figureVII{Cluster A}{output_3_0.png}
\figureVII{Cluster B}{output_3_3.png}
\figureVII{Cluster C}{output_3_6.png}
\figureVII{Cluster D}{output_3_9.png}
\figureVII{Cluster E}{output_3_12.png}
\figureVII{Cluster F}{output_3_15.png}
\figureVII{Cluster G}{output_3_18.png}
\figureVII{Cluster H}{output_3_21.png}
\caption{Task event rates vs. task priority and final task termination}\label{fig:figureVII-a}
\end{figure}
\begin{figure}
\figureVII{Cluster A}{output_3_1.png}
\figureVII{Cluster B}{output_3_4.png}
\figureVII{Cluster C}{output_3_7.png}
\figureVII{Cluster D}{output_3_10.png}
\figureVII{Cluster E}{output_3_13.png}
\figureVII{Cluster F}{output_3_16.png}
\figureVII{Cluster G}{output_3_19.png}
\figureVII{Cluster H}{output_3_22.png}
\caption{Task event rates vs. event execution time and final task termination}\label{fig:figureVII-b}
\end{figure}
\begin{figure}
\figureVII{Cluster A}{output_3_2.png}
\figureVII{Cluster B}{output_3_5.png}
\figureVII{Cluster C}{output_3_8.png}
\figureVII{Cluster D}{output_3_11.png}
\figureVII{Cluster E}{output_3_14.png}
\figureVII{Cluster F}{output_3_17.png}
\figureVII[.2\textwidth]{Cluster G}{output_3_20.png}
\hfill
\figureVII[.2\textwidth]{Cluster H}{output_3_23.png}
\hspace{.5cm}
\caption{Task event rates vs. machine concurrency and final task termination}\label{fig:figureVII-c}
\end{figure}

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@ -0,0 +1,47 @@
\newcommand{\figureIX}[3][0.242\textwidth]{
\begin{subfigure}{#1}
\vspace{0.5cm}
\begin{minipage}[c]{\textwidth}%
\includegraphics[width=1\textwidth]{figures/figure_9/#3}
\end{minipage}
\caption{#2}
\end{subfigure}}
\begin{figure}
\figureIX{Cluster A}{output_3_0.png}
\figureIX{Cluster B}{output_3_3.png}
\figureIX{Cluster C}{output_3_6.png}
\figureIX{Cluster D}{output_3_9.png}
\figureIX{Cluster E}{output_3_12.png}
\figureIX{Cluster F}{output_3_15.png}
\figureIX{Cluster G}{output_3_18.png}
\figureIX{Cluster H}{output_3_21.png}
\caption{Job event rates vs. job size and final job termination}\label{fig:figureIX-a}
\end{figure}
\begin{figure}
\figureIX{Cluster A}{output_3_1.png}
\figureIX{Cluster B}{output_3_4.png}
\figureIX{Cluster C}{output_3_7.png}
\figureIX{Cluster D}{output_3_10.png}
\figureIX{Cluster E}{output_3_13.png}
\figureIX{Cluster F}{output_3_16.png}
\figureIX{Cluster G}{output_3_19.png}
\figureIX{Cluster H}{output_3_22.png}
\caption{Job event rates vs. event execution time and final job termination}\label{fig:figureIX-b}
\end{figure}
\begin{figure}
\figureIX{Cluster A}{output_3_2.png}
\figureIX{Cluster B}{output_3_5.png}
\figureIX{Cluster C}{output_3_8.png}
\figureIX{Cluster D}{output_3_11.png}
\figureIX{Cluster E}{output_3_14.png}
\figureIX{Cluster F}{output_3_17.png}
\figureIX[.2\textwidth]{Cluster G}{output_3_20.png}
\hfill
\figureIX[.2\textwidth]{Cluster H}{output_3_23.png}
\hspace{.5cm}
\caption{Job event rates vs. machine locality and final job termination}\label{fig:figureIX-c}
\end{figure}

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\PY{c+c1}{\PYZsh{} column should be called machine\PYZus{}count here, typo in analysis scripts}
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@ -166,5 +166,5 @@ Unknown & Unknown & 1720 & 2.933251\% \\
0.591797 & 0.666992 & 500 & 0.852689\% \\ 0.591797 & 0.666992 & 500 & 0.852689\% \\
0.958984 & 1.000000 & 200 & 0.341076\% \\ 0.958984 & 1.000000 & 200 & 0.341076\% \\
} }
\caption{Overwiew of machine configurations in terms of CPU and RAM resources for each cluster} \caption{Overwiew of machine configurations in terms of CPU and RAM resources for each cluster}\label{fig:machineconfigs}
\end{figure} \end{figure}

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@ -40,7 +40,7 @@
\machinetimewaste{Cluster F}{output_9_10.png} \machinetimewaste{Cluster F}{output_9_10.png}
\machinetimewaste{Cluster G}{output_9_12.png} \machinetimewaste{Cluster G}{output_9_12.png}
\machinetimewaste{Cluster H}{output_9_14.png} \machinetimewaste{Cluster H}{output_9_14.png}
\caption{Total task time (in milliseconds) spent in each execution phase w.r.t. task termination.} \caption{Total task time (in milliseconds) spent in each execution phase w.r.t. task termination.}\label{fig:machinetimewaste-abs}
\end{figure} \end{figure}
\begin{figure} \begin{figure}
@ -54,5 +54,5 @@
\machinetimewaste{Cluster F}{output_9_11.png} \machinetimewaste{Cluster F}{output_9_11.png}
\machinetimewaste{Cluster G}{output_9_13.png} \machinetimewaste{Cluster G}{output_9_13.png}
\machinetimewaste{Cluster H}{output_9_15.png} \machinetimewaste{Cluster H}{output_9_15.png}
\caption{Relative task time (in milliseconds) spent in each execution phase w.r.t. task termination.} \caption{Relative task time (in milliseconds) spent in each execution phase w.r.t. task termination.}\label{fig:machinetimewaste-rel}
\end{figure} \end{figure}

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@ -62,7 +62,7 @@ Finish & 0.8666\% & 0.8914\% \\
Kill & 88.0011\% & 85.6364\% \\ Kill & 88.0011\% & 85.6364\% \\
Lost & 0.0039\% & 0.0030\% \\ Lost & 0.0039\% & 0.0030\% \\
} }
\caption{Relative usage of CPU and RAM resources w.r.t. final task termination.} \caption{Relative usage of CPU and RAM resources w.r.t. final task termination.}\label{fig:spatialresourcewaste-actual}
\end{figure} \end{figure}
\begin{figure} \begin{figure}
@ -138,5 +138,5 @@ Finish & 0.015642\% & 0.001873\% \\
Kill & 78.910066\% & 97.713322\% \\ Kill & 78.910066\% & 97.713322\% \\
Lost & 21.067264\% & 2.283888\% \\ Lost & 21.067264\% & 2.283888\% \\
} }
\caption{Requested resource waste} \caption{Relative request of CPU and RAM resources prior to tasks' execution w.r.t. final task termination.}\label{fig:spatialresourcewaste-requested}
\end{figure} \end{figure}

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@ -245,5 +245,5 @@
450 & 0.535389\% & 1.054678 \\ 450 & 0.535389\% & 1.054678 \\
\bottomrule \bottomrule
\end{tabular}} \end{tabular}}
\caption{Mean task slowdown for each cluster and each task priority} \caption{Mean task slowdown for each cluster and each task priority}\label{fig:taskslowdown}
\end{figure} \end{figure}