X-Git-Url: https://git.martlubbers.net/?a=blobdiff_plain;ds=sidebyside;f=tvt%2Ftvt.tex;h=7a8d12029bb26809eb8b4dc1b62afdec59a10840;hb=HEAD;hp=efae48e18bb9cd2b9e6ac6503beea683376d1945;hpb=5c7ffbabc8f4fe9d21b4ab0095155ee87e32ed6e;p=phd-thesis.git

diff --git a/tvt/tvt.tex b/tvt/tvt.tex
index efae48e..7a8d120 100644
--- a/tvt/tvt.tex
+++ b/tvt/tvt.tex
@@ -10,8 +10,9 @@
 \label{chp:smart_campus}
 
 \begin{chapterabstract}
-	\Gls{IOT} software is notoriously complex, conventionally comprising multiple tiers.
-	Traditionally an \gls{IOT} developer must use multiple programming languages and ensure that the components interoperate correctly. A novel alternative is to use a single \emph{tierless} language with a compiler that generates the code for each component and ensures their correct interoperation.
+	\Gls{IOT} software is notoriously complex, usually comprising multiple tiers.
+	Traditionally an \gls{IOT} developer must use multiple programming languages and ensure that the components interoperate correctly.
+	A novel alternative is to use a single \emph{tierless} language with a compiler that generates the code for each component and their correct interoperation.
 
 	We report a systematic comparative evaluation of two tierless language technologies for \gls{IOT} stacks: one for resource-rich sensor nodes (\gls{CLEAN} with \gls{ITASK}), and one for resource-constrained sensor nodes (\gls{CLEAN} with \gls{ITASK} and \gls{MTASK}).
 	The evaluation is based on four implementations of a typical smart campus application: two tierless and two \gls{PYTHON}-based tiered.