diff --git a/ThesTeX/content/1-scope.tex b/ThesTeX/content/1-scope.tex
index 5e83872..36b4df6 100644
--- a/ThesTeX/content/1-scope.tex
+++ b/ThesTeX/content/1-scope.tex
@@ -1,4 +1,4 @@
-
+\label{sec:scope}
 \subsection{Goal definition}
 A Framework for the Analysis of Spatial Game Data
 \begin{itemize}
diff --git a/ThesTeX/content/2.1-text.tex b/ThesTeX/content/2.1-text.tex
index ff635db..7275e4d 100644
--- a/ThesTeX/content/2.1-text.tex
+++ b/ThesTeX/content/2.1-text.tex
@@ -1,5 +1,6 @@
 \section{State of research}
 
+%TODO
 \subsection{Log processing}
 System administrators and developers face a daily surge of log files from applications, systems, and servers.
 For knowledge extraction, a wide range of tools is in constant development for such environments.
@@ -31,15 +32,25 @@ Aside from aggreation, the topic of log creation is covered from host-based moni
 
 \subsubsection{Databases}
 The key component for a log processing system is the storage.
+While relational database management systems (RDBMS) \nomenclature{\m{R}elational \m{D}ata\m{b}ase \m{M}anagement \m{S}ystem}{RDBMS} can be suitable for small-scale solutions, the temporal order of events impose many pitfalls.
+For instance, django-monit-collector\footnote{\url{https://github.com/nleng/django-monit-collector}} as open alternative to the proprietary MMonit cloud service\footnote{\url{https://mmonit.com/monit/\#mmonit}} assures temporal coherence through lists of timestamps and measurement values stored as JSON strings in a RDBMS. \nomenclature{\m{J}ava\m{s}cript \m{O}bject \m{N}otation}{JSON}
+This strategy forces the RDBMS and the application to deal with growing amounts of data, as no temporal selection can be performed by the RDBMS itself.
+During the evaluation in \cite{grossmann2017monitoring}, this phenomena rendered the browser-based visualization basically useless and impeded the access with statistical tools significantly.
+
+Time Series Databases (TSDB) are specialized on chronological events.
+%TODO
+%TODO RRD
 With a focus on chronological events, Time Series Databases (TSDB) are commonly used in these scenarios. \nomenclature{\m{T}ime \m{S}eries \m{D}ata\m{b}ase}{TSDB}
 
-%TODO: weather station screenshot
 
 \subsubsection{Frontend}
 
 Frontends utilize the powerful query languages of the TSDB systems backing them.
 Grafana e.g. provides customizable dashboards with graphing and mapping support \cite{komarek2017metric}.
 Additional functionality can be added with plugins.
+%TODO
+
+%TODO: weather station screenshot
 
 %%%
 \begin{itemize}
@@ -57,6 +68,10 @@ Additional functionality can be added with plugins.
 
 \subsection{Pedestrian traces}
 Analyzing pedestrian movement … based on GPS logs
+
+\subsubsection{Data basis: GPS}
+\subsubsection{Activity Mining}
+\subsubsection{Visualization}
 \begin{itemize}
 	\item GPS overestimates systematically \cite{Ranacher_2015}
 	\item GPS is a suitable instrument for spatio-temporal data\cite{van_der_Spek_2009}
diff --git a/ThesTeX/content/3-solution.tex b/ThesTeX/content/3-solution.tex
index 231d388..aef3316 100644
--- a/ThesTeX/content/3-solution.tex
+++ b/ThesTeX/content/3-solution.tex
@@ -15,7 +15,15 @@ Wait, what did I want to do again?
 \end{itemize}
 
 
-\section{Experiment: Kibana}
+\section{Evaluating Kibana}
+
+To evaluate whether Kibana is a viable approach for the given requirements, I have created a test environment.
+This setup is documented in \autoref{app:kibana}.
+Two sample datasets were loaded into the Elasticsearch container through HTTP POST requests: \texttt{curl -H 'Content-Type: application/x-ndjson' -XPOST 'elastic:9200/\_bulk?pretty' --data-binary @gamelog.json}.
+Once Kibana was told which fields hold the spatial information, it is possible to have a first visualization.
+However, this view is optimized for the context of web log processing, so it has a rather low spatial resolution as shown in \autoref{img:kibana} and \autoref{img:kibana2}.
+
+
 … taugt nich
 \begin{itemize}
 	\item powerful timeseries database
@@ -23,8 +31,8 @@ Wait, what did I want to do again?
 	\item fast paced environment
 	\item low spatial resolution => privacy optimized
 \end{itemize}
-\image{.85\textwidth}{../../PresTeX/images/kibana}{Game trace in Kibana}{img:kibana}
-\image{.85\textwidth}{../../PresTeX/images/kibana2}{Game trace in Kibana}{img:kibana2}
+\image{\textwidth}{../../PresTeX/images/kibana}{Game trace in Kibana}{img:kibana}
+\image{\textwidth}{../../PresTeX/images/kibana2}{Game trace in Kibana}{img:kibana2}
 
 
 \section{Architecture}
diff --git a/ThesTeX/content/appendix.tex b/ThesTeX/content/appendix.tex
index af66794..8536a1f 100644
--- a/ThesTeX/content/appendix.tex
+++ b/ThesTeX/content/appendix.tex
@@ -1,4 +1,4 @@
-\section{Setup für Kibana}
+\section{Setup für Kibana} \label{app:kibana}
 \lstinputlisting[language=yaml,caption={Docker-compose file for Kibana test setup},label=code:kibana]{code/kibana-docker-compose.yml}
 \section{Biogames Server Dockerized}
 \image{\textwidth}{biogames.pdf}{Dockerized setup for biogames}{img:bd2gdocker}
diff --git a/ThesTeX/content/literature.bib b/ThesTeX/content/literature.bib
index 51a4922..c380ef3 100644
--- a/ThesTeX/content/literature.bib
+++ b/ThesTeX/content/literature.bib
@@ -487,3 +487,12 @@ keywords = "Games, Agent based models, Simulations, Analytics"
   year={2011},
   publisher={Springer}
 }
+@inproceedings{grossmann2017monitoring,
+  title={Monitoring Container Services at the Network Edge},
+  author={Gro{\ss}mann, Marcel and Klug, Clemens},
+  booktitle={Teletraffic Congress (ITC 29), 2017 29th International},
+  volume={1},
+  pages={130--133},
+  year={2017},
+  organization={IEEE}
+}
diff --git a/ThesTeX/thesis.tex b/ThesTeX/thesis.tex
index 7be40ea..611d671 100644
--- a/ThesTeX/thesis.tex
+++ b/ThesTeX/thesis.tex
@@ -47,7 +47,7 @@
 % Zur Auswahl der Sprache im folgenden Befehl
 % ngerman für deutsch eintragen, english für Englisch.
 %===============================================================================
-\selectlanguage{ngerman}
+\selectlanguage{english}
 \setstretch{1.1}
 %% Titelseite
 \maketitle