work on paper

dos-group · Mar 31, 2015 · a258097 · a258097
1 parent a8cd612
commit a258097
Show file tree

Hide file tree

Showing 4 changed files with 23 additions and 5 deletions.
diff --git a/paper/bibliography.bib b/paper/bibliography.bib
@@ -35,6 +35,23 @@ @article{datacenter
     address = {New York, NY, USA},
 }
 
+@article{stratosphere,
+year={2014},
+issn={1066-8888},
+journal={The VLDB Journal},
+volume={23},
+number={6},
+doi={10.1007/s00778-014-0357-y},
+title={The Stratosphere platform for big data analytics},
+url={http://dx.doi.org/10.1007/s00778-014-0357-y},
+publisher={Springer Berlin Heidelberg},
+keywords={Big data; Parallel databases; Query processing; Query Optimization; Data cleansing; Text mining; Graph processing; Distributed systems},
+author={Alexandrov, Alexander and Bergmann, Rico and Ewen, Stephan and Freytag, Johann-Christoph and Hueske, Fabian and Heise, Arvid and Kao, Odej and Leich, Marcus and Leser, Ulf and Markl, Volker and Naumann, Felix and Peters, Mathias and Rheinländer, Astrid and Sax, MatthiasJ. and Schelter, Sebastian and Höger, Mareike and Tzoumas, Kostas and Warneke, Daniel},
+pages={939-964},
+language={English}
+}
+
+
 @MANUAL{openflow,
     title        = "OpenFlow Switch Specification",
     organization = "Open Network Foundation",

diff --git a/paper/sections/background.tex b/paper/sections/background.tex
@@ -13,7 +13,8 @@ \subsection{SDN}
 
 \subsection{Apache Flink}
 For this paper, we used Apache Flink as our data processing engine. Flink is a \textit{Fast and
-Reliable Large-Scale Data Processing engine}. A Flink cluster can be made up from a number of
+Reliable Large-Scale Data Processing engine}, originating from the \textit{Stratosphere} research
+project \cite{stratosphere}. A Flink cluster can be made up from a number of
 physical computation nodes or even a single host. Processing programs, written in Java or Scala by
 the user, are automatically adapted by the optimizer and runtime to execute efficient on a given
 setup.\footnote{(2015) Apache Flink home. Retrieved March 20, 2015, from https://flink.apache.org}

diff --git a/paper/sections/conclusion.tex b/paper/sections/conclusion.tex
@@ -7,7 +7,7 @@ \section{Conclusion}
 systems for Big Data Analytics.
 
 We evaluated a significant overall performance gain by adding the notion of grouped host deployment.
-Even though our approach is a general one equivalent solutions in conjunction with alternative
-software might not be possible due to the open source nature of our setup components. Nevertheless,
-the efficiency improvement of our setup validates some advantages of its components and should
+Even though our approach is a general one, equivalent solutions in conjunction with alternative
+software might not be possible due to the nature of our setup components. Nevertheless,
+the efficiency improvement of our setup validates advantages of its components and should
 encourage further research of our approach under different circumstances.
diff --git a/paper/sections/evaluation.tex b/paper/sections/evaluation.tex
@@ -52,7 +52,7 @@ \subsection{System properties}
         \hline
         \textbf{Property} & \textbf{Value} \\ \hline
         Operating &  System Windows 8.1 x64 \\ \hline
-        CPU Intel & Core-i7 3720QM \\ \hline
+        CPU & Intel Core-i7 3720QM \\ \hline
         Memory & 8GB 1600MHz DDR3 \\ \hline
     \end{tabular}
     \caption{Physical host properties}