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-\chapter*{Summary}%
-\label{chp:summary}
+\chapter{Summary}%
+\label{chp:summary}%
%\begin{center}
-\noindent%
-The amount of computers around us is growing exponentially.
+%\noindent%
+The number of computers around us is growing exponentially.
With it, the systems in which they operate are becoming increasingly complex.
-Many of these computers are so called \emph{edge devices}, operating in \gls{IOT} systems.
-Within these orchestras of computers, they perform the role of interacting with the outside world.
-These specialised computers are often powered by microcontrollers and therefore have little memory, small processors, and slow communication.
-On the other hand, they are designed for embedded systems and hence cheap, tiny, energy efficient, and is easily equipped with various sensors and actuators.
-Not only are \gls{IOT} systems dynamic, interactive, distributed, collaborative, multi-user, and multitasking.
-Also, the orchestra of computers has vastly different hardware and software characteristics, causing semantic friction, making programming such systems classically complex.
+Many of these computers are so called \emph{edge devices}, operating in \glsxtrfull{IOT} systems.
+Within these orchestras of computers, they perform the role of interacting with the outside world using sensors and actuators.
+These specialised computers designed for embedded applications are often powered by microcontrollers and therefore have little memory, unhurried processors, no \glsxtrshort{OS} and slow communication.
+On the other hand, they are cheap, tiny, and energy efficient.
+Programming \glsxtrshort{IOT} systems is complex because they are dynamic, interactive, distributed, collaborative, multi-user, multi-tiered, and multitasking.
+This is impeded even more due to the computers in each tier having vastly different hardware and software characteristics; using different programming languages; and operating in different abstraction levels, causing semantic friction.
-\Gls{TOP} is a declarative programming paradigm with roots in functional programming that allows high-level interactive collaborative workflows to be specified for the work that needs to be done.
-From this specification, a ready-for-work computer program is generated supporting the user in actually performing the work.
-The main building blocks of \gls{TOP} programs are tasks, an abstract representation of work that needs to be done.
+\Glsxtrfull{TOP} is a declarative programming paradigm %with roots in functional programming
+that allows interactive collaborative workflows to be specified for the work that needs to be done.
+From this declarative specification, a ready-for-work computer program the interoperation is generated.
+The main building blocks of \glsxtrshort{TOP} programs are tasks, an abstract representation of work that needs to be done.
During execution, the current value of a task is observable and other tasks can act upon it.
-Furthermore, tasks can be combined and transformed to create compound tasks, allowing the modelling of many collaboration patterns.
-Tasks running on edge devices can intuitively be built from the same \gls{TOP} concepts as the interactive collaborative applications \gls{TOP} was originally designed for, albeit with domain-specific primitives such as sensor and actuator access.
+Tasks are combined and transformed to create compound tasks, allowing the modelling of many collaboration patterns.
+Tasks running on edge devices can intuitively be built from the same \glsxtrshort{TOP} concepts as the interactive collaborative applications \glsxtrshort{TOP} was originally designed for, albeit with domain-specific primitives such as sensor and actuator access.
+However, it is not straightforward to run \glsxtrshort{TOP} systems on edge devices due to the severe hardware constraints.
-This dissertation shows how to orchestrate complete \gls{IOT} systems using \gls{TOP}.
-First I present advanced \gls{DSL} embedding techniques that make the creation of a \gls{DSL} such as \gls{MTASK} possible.
-Then I show \gls{MTASK}, a \gls{TOP} \gls{DSL} for \gls{IOT} edge devices.
-\Gls{MTASK} is embedded in \gls{ITASK}, a general-purpose \gls{TOP} language mostly used to program interactive web applications.
-All aspects of the \gls{MTASK} system are show: the design, implementation, integration with \gls{ITASK}, and a detailed overview of the green computing facilities.
-Using \gls{MTASK} in conjunction with \gls{ITASK}, entire \gls{IOT} systems can be programmed from a single source, in a single paradigm, and using a single high abstraction level.
-Finally, this tierless approach to \gls{IOT} systems is qualitatively and quantitatively compared to traditional tiered approaches.
+In this dissertation I show how to orchestrate complete \glsxtrshort{IOT} systems using \glsxtrshort{TOP}.
+First, I present advanced \glsxtrfull{DSL} embedding techniques that make the creation of a \glsxtrshort{DSL} such as \gls{MTASK} possible.
+Then \glsxtrshort{MTASK} is shown, a \glsxtrshort{TOP} \glsxtrshort{DSL} for \glsxtrshort{IOT} edge devices.
+\gls{MTASK} is embedded in \gls{ITASK}, a general-purpose \glsxtrshort{TOP} language mostly used to program interactive web applications.
+All aspects of the \gls{MTASK} system are shown: the design of the language, details on the implementation, the integration with \gls{ITASK}, and a detailed overview of the green computing facilities.
+Using \gls{MTASK} in conjunction with \gls{ITASK}, entire \glsxtrshort{IOT} systems are programmed from a single source, paradigm, high abstraction level, and type system.
+Consequently, many problems such as semantic friction, maintainability, robustness, interoperation safety are mitigated.
%This is a summary of 350--400 words.
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repositories / phd-thesis.git / blobdiff