The software has become an essential part of every aspect of the society and our daily life. This is indicated by many recent trends in our society – healthcare, smart homes, smart cities, (autonomous) robots, autonomous connected vehicles and so on – all contain an ever-increasing amount of software. These trends also indicate that the single device computing era is coming to an end. However, the development and software architectures have not changed much during past ten years. At the moment, Cloud-based services are the de facto way how the software is constructed, and then provided for the end users in the form of Web and native apps. Moreover, from a software architecture point of view, Internet of Things (IoT) poses many interesting challenges due to its unpredictable yet adaptive requirements. In this thesis, we investigate challenges related to Web of Things (WoT) and mobile software in the Fog Computing era in order to improve their adaptive behaviour.

Adaptive Reshaping of Web of Things and mobile software for the Fog Computing Era

Nocera, Francesco
2019

Abstract

The software has become an essential part of every aspect of the society and our daily life. This is indicated by many recent trends in our society – healthcare, smart homes, smart cities, (autonomous) robots, autonomous connected vehicles and so on – all contain an ever-increasing amount of software. These trends also indicate that the single device computing era is coming to an end. However, the development and software architectures have not changed much during past ten years. At the moment, Cloud-based services are the de facto way how the software is constructed, and then provided for the end users in the form of Web and native apps. Moreover, from a software architecture point of view, Internet of Things (IoT) poses many interesting challenges due to its unpredictable yet adaptive requirements. In this thesis, we investigate challenges related to Web of Things (WoT) and mobile software in the Fog Computing era in order to improve their adaptive behaviour.
2019
Inglese
Di Noia, Tommaso
Mongiello, Marina
Grieco, Luigi Alfredo
Politecnico di Bari
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14242/62364
Il codice NBN di questa tesi è URN:NBN:IT:POLIBA-62364