iccsa-16-factory-extended

commit 468a1f04d38ff033ab0790bbca325b8a4e98a685
parent 6db2e8a6fd6b39b9ca34d2ec9b0bc510ace88bb2
Author: Ivan Gankevich <igankevich@ya.ru>
Date:   Mon,  6 Feb 2017 10:41:16 +0300

Fix abstract no showing in the PDF.

Diffstat:
main.tex
 | 
7
++++---
src/abstract.tex
 | 
2
+-

2 files changed, 5 insertions(+), 4 deletions(-)
diff --git a/main.tex b/main.tex
@@ -1,4 +1,4 @@
-\documentclass{singlecol-new}
+\documentclass[final]{singlecol-new}
 
 \usepackage{natbib,stfloats}
 \usepackage{mathrsfs}
@@ -28,7 +28,7 @@
 \CLline
 \subtitle{}
 
-\title{Factory:\\Master node high-availability for Big Data applications and beyond}
+\title{Factory: Master node high-availability for Big Data applications and beyond}
 
 \authorA{I.~Gankevich\qquad{}Yu.~Tipikin\qquad{}V.~Korkhov\\V.~Gaiduchok\qquad{}A.~Degtyarev\qquad{}A.~Bogdanov}
 
@@ -39,9 +39,10 @@ Universitetskaia emb. 7-9, 199034 Saint Petersburg, Russia\\
 E-mail: i.gankevich@spbu.ru%
 }
 
+\input{src/abstract}
+
 \maketitle
 
-\input{src/abstract}
 \input{src/intro}
 \input{src/sections}
 \input{src/outro}
diff --git a/src/abstract.tex b/src/abstract.tex
@@ -14,4 +14,4 @@ of data processing pipeline. We believe that the technique can be used not only
 in Big Data processing but in other types of applications.
 \end{abstract}
 
-\KEYWORD{parallel computing; Big Data processing; distributed computing; backup node; state transfer; delegation; cluster computing; fault-tolerance}
+\KEYWORD{parallel computing; Big Data processing; distributed computing; backup node; state transfer; delegation; cluster computing; fault-tolerance; high-availability}