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[phd-thesis.git] / tvt / tvt.tex

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 \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.