report work

report/Claudio_Maggioni_report.tex

@@ -618,7 +618,19 @@ traces.
 
 This section aims to use some of the tecniques used in section IV of
 the Ros\'a et al.\ paper\cite{dsn-paper} to find patterns and interpendencies
-between task and job events by gathering event statistics at those events.
+between task and job events by gathering event statistics at those events. In
+particular, Section~\ref{tabIII-section} explores how tasks of the success of a
+task is inter-correlated with its own event patterns, which
+Section~\ref{figV-section} explores even further by computing task success
+probabilities based on the number of task termination events of a specific type.
+Finally, Section~\ref{tabIV-section} aims to find similar correlations, but at
+the job level.
+
+
+The results found the the 2019 traces seldomly show the same patterns in terms
+of task events and job/task distributions, in particular highlighting again the
+overall non-trivial impact of \texttt{KILL} events, no matter the task and job
+termination type.
 
 \subsection{Unsuccessful Task Event Patterns}\label{tabIII-section}
 \input{figures/table_iii}
@@ -659,7 +671,7 @@ cluster, albeit with event count averages having different magnitudes. Notably,
 cluster E registers the highest per-event average, with \texttt{FAIL}ed tasks
 experiencing 111.471 \texttt{FAIL} events out of \texttt{112.384}.
 
-\subsection{Conditional Probability of Task Success}
+\subsection{Conditional Probability of Task Success}\label{figV-section}
 \input{figures/figure_5}
 
 In this analysis we measure the conditional probability of task success given a
@@ -699,11 +711,11 @@ show very oscillating probability distribution function curves for
 \texttt{EVICT} and \texttt{FINISH} curves. \texttt{KILL} behaviour is instead
 homogeneous even on a single cluster basis.
 
-\subsection{Unsuccessful Job Event Patterns}
+\subsection{Unsuccessful Job Event Patterns}\label{tabIV-section}
 \input{figures/table_iv}
 
 This analysis uses very similar techniques to the ones used in
-section~\ref{tabIII-section}, but focusing at the job level instead. The aim is
+Section~\ref{tabIII-section}, but focusing at the job level instead. The aim is
 to better understand the task-job level relationship and to understand how
 task-level termination events can influence the termination state of a job.
 
@@ -713,9 +725,9 @@ breakdown of the same data for the 2019 traces is shown in
 figure~\ref{fig:tableIV-csts}.
 
 Considering the distribution of number of tasks in a job, the 2019 traces show a
-decrease for the mean figure (e.g. for \texttt{FAIL}ed jobs, with a mean 60.5
+decrease for the mean figure (e.g.\ for \texttt{FAIL}ed jobs, with a mean 60.5
 tasks per job in 2011 and a mean 43.126 tasks per job in 2019) and a fluctuation
-  of the 95-th percentile figure (e.g. for \texttt{FAIL}ed jobs it rose from 110
+of the 95-th percentile figure (e.g.\ for \texttt{FAIL}ed jobs it rose from 110
 to 200, but for \texttt{KILL}ed job the figure decreased from 400 to 178).
 
 Considering the distribution of the number of task-wise termination events
@@ -735,6 +747,7 @@ percentiles overall. Event-wise, for \texttt{EVICT}ed, \texttt{FINISH}ed,
 and \texttt{KILL}ed jobs again the distributions are similar to the aggregated
 one. For some clusters (namely B, C, and  D), the mean number of \texttt{FAIL} and
 \texttt{KILL} task events for \texttt{FINISH}ed jobs is almost the same.
+Additionally, it is noteworthy that cluster A has no \texttt{EVICT}ed jobs.
 
 \section{Analysis: Potential Causes of Unsuccessful Executions}
 

report/figures/table_iv.tex

@@ -31,7 +31,7 @@ FINISH &    3.074 (2) & 0.005 & 0.153 & 1.778 &  0.014 \\
 \caption{Mean number of tasks and event distribution per job type for between
 	2011 and 2019 (all clusters aggregated) traces. The tables show and
 	mean and 95-th percentile for the number of tasks in a job, and
-	additionally show the mean of job-wise total of task termination events.}
+	additionally show the mean of job-wise total of task termination events.}\label{fig:tableIV}
 \end{figure}
 
 \begin{figure}[p]
@@ -86,7 +86,7 @@ FINISH & 4.278 (14) & 0.005 & 0.153 & 1.778 &  0.014 \\
 \caption{Mean number of tasks and event distribution per job type for each
 	cluster in the 2019 traces. The tables show and
 	mean and 95-th percentile for the number of tasks in a job, and
-	additionally show the mean of job-wise total of task termination events.}
+	additionally show the mean of job-wise total of task termination events.}\label{fig:tableIV-csts}
 \end{figure}