diff --git a/paper/main.tex b/paper/main.tex
index 91e04be..a32622a 100644
--- a/paper/main.tex
+++ b/paper/main.tex
@@ -296,7 +296,7 @@ In \Cref{fig:job-L}, the mean value is mostly rounded down to 0 except for the f
 \begin{subfigure}{0.8\textwidth}
 \centering
 \includegraphics[width=\textwidth]{job-timeseries7488914-30}
-\caption{Job-L (first 30 segments of 400; remaining segments are similar)}
+\caption{Job-L (first 30 segments of 400; remaining segments are zero)}
 \label{fig:job-L}
 \end{subfigure}
 \centering
@@ -734,6 +734,29 @@ The number of unique names is 19, 38, 49, and 51 for BIN\_aggzero, HEX\_phases,
 The jobs that are similar according to the bin algorithms (see \Cref{fig:job-M-bin-aggzero}) differ from our expectations.
 The other algorithms like HEX\_lev (\Cref{fig:job-M-hex-lev}) and HEX\_native (\Cref{fig:job-M-hex-native}) seem to work as intended:
 While jobs exhibit short bursts of other active metrics even for low similarity we can eyeball a relevant similarity.
+The KS algorithm working on the histograms ranks the jobs correctly on the similarity of their histograms.
+However, as it does not deal with the length of the jobs, it may identify jobs of very different length.
+In \Cref{fig:job-M-ks}, we see the 3rd ranked job, which profile is indeed quite similar but the time series differs but it is just running for 10min (1 segment) on 10\,nodes.
+Remember, for the KS algorithm, we concatenate the metrics of all nodes together instead of averaging it in order to explore if node-specific information helps to draw further information about similarity.
+
+\begin{figure}[bt]
+\begin{subfigure}{0.5\textwidth}
+\centering
+\includegraphics[width=\textwidth]{job_similarities_5024292-out/ks-0.7863--ks-2hist7827264}
+\caption{Histogram}
+\end{subfigure}
+\qquad
+\begin{subfigure}{0.36\textwidth}
+\centering
+\includegraphics[width=\textwidth]{job_similarities_5024292-out/ks-0.7863--ks-2timeseries7827264}
+\caption{Concatenated time series}
+\end{subfigure}
+
+\caption{Job-M with KS, for Rank\,3, SIM=78\%}
+\label{fig:job-M-ks}
+\end{figure}
+
+
 
 
 \begin{figure}[bt]
@@ -818,37 +841,43 @@ While jobs exhibit short bursts of other active metrics even for low similarity
 \label{fig:job-M-hex-native}
 \end{figure}
 
-
-\begin{figure}[bt]
-\begin{subfigure}{0.3\textwidth}
-\centering
-\includegraphics[width=\textwidth]{job_similarities_5024292-out/hex_phases-0.8831--1timeseries7826634}
-\caption{Rank 2, SIM=88\%}
-\end{subfigure}
-\begin{subfigure}{0.3\textwidth}
-\centering
-\includegraphics[width=\textwidth]{job_similarities_5024292-out/hex_phases-0.7963--2timeseries5240733}
-\caption{Rank 3, SIM=80\%}
-\end{subfigure}
-\begin{subfigure}{0.3\textwidth}
-\includegraphics[width=\textwidth]{job_similarities_5024292-out/hex_phases-0.4583--14timeseries4244400}
-\caption{Rank 15, SIM=46\%}
-\end{subfigure}
-\begin{subfigure}{0.3\textwidth}
-\centering
-\includegraphics[width=\textwidth]{job_similarities_5024292-out/hex_phases-0.2397--99timeseries7644009}
-\caption{Rank 100, SIM=24\%}
-\end{subfigure}
-
-\caption{Job-M with HEX\_phases, selection of similar jobs}
-\label{fig:job-M-hex-phases}
-\end{figure}
+%
+% \begin{figure}[bt]
+% \begin{subfigure}{0.3\textwidth}
+% \centering
+% \includegraphics[width=\textwidth]{job_similarities_5024292-out/hex_phases-0.8831--1timeseries7826634}
+% \caption{Rank 2, SIM=88\%}
+% \end{subfigure}
+% \begin{subfigure}{0.3\textwidth}
+% \centering
+% \includegraphics[width=\textwidth]{job_similarities_5024292-out/hex_phases-0.7963--2timeseries5240733}
+% \caption{Rank 3, SIM=80\%}
+% \end{subfigure}
+% \begin{subfigure}{0.3\textwidth}
+% \includegraphics[width=\textwidth]{job_similarities_5024292-out/hex_phases-0.4583--14timeseries4244400}
+% \caption{Rank 15, SIM=46\%}
+% \end{subfigure}
+% \begin{subfigure}{0.3\textwidth}
+% \centering
+% \includegraphics[width=\textwidth]{job_similarities_5024292-out/hex_phases-0.2397--99timeseries7644009}
+% \caption{Rank 100, SIM=24\%}
+% \end{subfigure}
+%
+% \caption{Job-M with HEX\_phases, selection of similar jobs}
+% \label{fig:job-M-hex-phases}
+% \end{figure}
 
 \subsection{Job-L}
 
-For the bin algorithms, the inspection of job names (14 unique names) leads to two prominent applications: bash and xmessy with 45 and 48 instances, respectively.
-The hex algorithms identify a more diverse set of applications (18 unique names and no xmessy job), and the HEX\_phases algorithm has 85 unique names.
-The KS algorithm finds 71 jobs ending with t127, which is a typical model configuration.
+The bin algorithms find a low similarity (best 2nd ranked job is 17\% similar), the inspection of job names (14 unique names) leads to two prominent applications: bash and xmessy with 45 and 48 instances, respectively.
+In \Cref{fig:job-L-bin-aggzero}, it can be seen that the found jobs have little in common with the reference job.
+
+The HEX\_lev and HEX\_native algorithms identify a more diverse set of applications (18 unique names and no xmessy job).
+HEX\_native \Cref{fig:job-L-hex-native} finds long jobs where the only few activity as our reference job.
+The HEX\_phases algorithm finds 85 unique names but as there is only one short IO phase in the reference job, it finds many (short) jobs with 100\% similarity as seen in \Cref{fig:job-L-hex-phases}.
+The KS algorithm is even more inclusive having 1285 jobs with 100\% similarity; the 100 selected ones contain 71 jobs ending with t127, which is a typical model configuration.
+As expected, the histograms mimics the profile of the reference job, and thus, the algorithm does what it is expected to do.
+
 
 \begin{figure}[bt]
 \begin{subfigure}{0.3\textwidth}
@@ -856,11 +885,11 @@ The KS algorithm finds 71 jobs ending with t127, which is a typical model config
 \includegraphics[width=\textwidth]{job_similarities_7488914-out/bin_aggzeros-0.1671--1timeseries7869050}
 \caption{Rank 2, SIM=17\%}
 \end{subfigure}
-\begin{subfigure}{0.3\textwidth}
-\centering
-\includegraphics[width=\textwidth]{job_similarities_7488914-out/bin_aggzeros-0.1671--2timeseries7990497}
-\caption{Rank 3, SIM=17\%}
-\end{subfigure}
+% \begin{subfigure}{0.3\textwidth}
+% \centering
+% \includegraphics[width=\textwidth]{job_similarities_7488914-out/bin_aggzeros-0.1671--2timeseries7990497}
+% \caption{Rank 3, SIM=17\%}
+% \end{subfigure}
 \begin{subfigure}{0.3\textwidth}
 \includegraphics[width=\textwidth]{job_similarities_7488914-out/bin_aggzeros-0.1521--14timeseries8363584}
 \caption{Rank 15, SIM=15\%}
@@ -875,31 +904,31 @@ The KS algorithm finds 71 jobs ending with t127, which is a typical model config
 \label{fig:job-L-bin-aggzero}
 \end{figure}
 
-
-\begin{figure}[bt]
-\begin{subfigure}{0.3\textwidth}
-\centering
-\includegraphics[width=\textwidth]{job_similarities_7488914-out/hex_lev-0.9386--1timeseries7266845}
-\caption{Rank 2, SIM=94\%}
-\end{subfigure}
-\begin{subfigure}{0.3\textwidth}
-\centering
-\includegraphics[width=\textwidth]{job_similarities_7488914-out/hex_lev-0.9375--2timeseries7214657}
-\caption{Rank 3, SIM=94\%}
-\end{subfigure}
-\begin{subfigure}{0.3\textwidth}
-\includegraphics[width=\textwidth]{job_similarities_7488914-out/hex_lev-0.7251--14timeseries4341304}
-\caption{Rank 15, SIM=73\%}
-\end{subfigure}
-\begin{subfigure}{0.3\textwidth}
-\centering
-\includegraphics[width=\textwidth]{job_similarities_7488914-out/hex_lev-0.1657--99timeseries8036223}
-\caption{Rank 100, SIM=17\%}
-\end{subfigure}
-
-\caption{Job-L with HEX\_lev, selection of similar jobs}
-\label{fig:job-L-hex-lev}
-\end{figure}
+%
+% \begin{figure}[bt]
+% \begin{subfigure}{0.3\textwidth}
+% \centering
+% \includegraphics[width=\textwidth]{job_similarities_7488914-out/hex_lev-0.9386--1timeseries7266845}
+% \caption{Rank 2, SIM=94\%}
+% \end{subfigure}
+% \begin{subfigure}{0.3\textwidth}
+% \centering
+% \includegraphics[width=\textwidth]{job_similarities_7488914-out/hex_lev-0.9375--2timeseries7214657}
+% \caption{Rank 3, SIM=94\%}
+% \end{subfigure}
+% \begin{subfigure}{0.3\textwidth}
+% \includegraphics[width=\textwidth]{job_similarities_7488914-out/hex_lev-0.7251--14timeseries4341304}
+% \caption{Rank 15, SIM=73\%}
+% \end{subfigure}
+% % \begin{subfigure}{0.3\textwidth}
+% % \centering
+% % \includegraphics[width=\textwidth]{job_similarities_7488914-out/hex_lev-0.1657--99timeseries8036223}
+% % \caption{Rank 100, SIM=17\%}
+% % \end{subfigure}
+%
+% \caption{Job-L with HEX\_lev, selection of similar jobs}
+% \label{fig:job-L-hex-lev}
+% \end{figure}
 
 
 \begin{figure}[bt]
@@ -917,11 +946,11 @@ The KS algorithm finds 71 jobs ending with t127, which is a typical model config
 \includegraphics[width=\textwidth]{job_similarities_7488914-out/hex_native-0.8708--14timeseries4936553}
 \caption{Rank 15, SIM=87\%}
 \end{subfigure}
-\begin{subfigure}{0.3\textwidth}
-\centering
-\includegraphics[width=\textwidth]{job_similarities_7488914-out/hex_native-0.1695--99timeseries7942052}
-\caption{Rank 100, SIM=17\%}
-\end{subfigure}
+% \begin{subfigure}{0.3\textwidth}
+% \centering
+% \includegraphics[width=\textwidth]{job_similarities_7488914-out/hex_native-0.1695--99timeseries7942052}
+% \caption{Rank 100, SIM=17\%}
+% \end{subfigure}
 
 \caption{Job-L with HEX\_native, selection of similar jobs}
 \label{fig:job-L-hex-native}
@@ -938,10 +967,10 @@ The KS algorithm finds 71 jobs ending with t127, which is a typical model config
 \includegraphics[width=\textwidth]{job_similarities_7488914-out/hex_phases-1.0000--1timeseries4405671}
 \caption{Rank 3, SIM=100\%}
 \end{subfigure}
-\begin{subfigure}{0.3\textwidth}
-\includegraphics[width=\textwidth]{job_similarities_7488914-out/hex_phases-1.0000--2timeseries4621422}
-\caption{Rank 15, SIM=100\%}
-\end{subfigure}
+% \begin{subfigure}{0.3\textwidth}
+% \includegraphics[width=\textwidth]{job_similarities_7488914-out/hex_phases-1.0000--2timeseries4621422}
+% \caption{Rank 15, SIM=100\%}
+% \end{subfigure}
 \begin{subfigure}{0.3\textwidth}
 \centering
 \includegraphics[width=\textwidth]{job_similarities_7488914-out/hex_phases-1.0000--99timeseries4232293}