Название: Fluidware: Novel Approaches for Large-Scale IoT Systems
Автор: Franco Zambonelli, Giancarlo Fortino, Barbara Re, Mirko Viroli
Издательство: Springer
Серия: Internet of Things
Год: 2024
Страниц: 208
Язык: английский
Формат: pdf (true), epub
Размер: 17.5 MB
This book provides an overview of the many approaches that can adopted for programming and deploying highly-adaptive and large-scale IoT systems, with a specific focus on the key results achieved within the Fluidware research project. The authors start by presenting Fluidware, which develops a novel programming model for IoT services and applications, along with the associated and robust large-scale IoT services and applications. Starting from previous findings in the areas of field-based coordination, collective adaptive systems, stream computing and aggregate computing, the authors address the complexity of building modern, large-scale IoT systems, by a full-fledged engineering approach revolving around a new notion of distributed programming. The authors show how the key innovative idea of Fluidware is to abstract collectives of devices of the IoT fabric as sources, digesters, and targets of distributed "flows" of contextualized events, carrying information about data produced and actuating commands. The book is divided into three parts: (i) the first part is a general introduction to the Fluidware ideas and to the key problems associated with programming IoT systems, (ii) the second part presents the key results achieved within the Fluidware project; (iii) the third part identified open challenges and research directions. However, IoT applications and services can be hard to program and deploy. Indeed, services and applications for the IoT may involve composing and coordinating myriads of heterogeneous devices, typically dispersed over an environment. In the above context, the IoT research community worldwide started putting notable investigation efforts toward the identification of novel programming approaches for IoT applications that could make it possible to deal with the above sources of complexity automatically and rather enable programmers to easily program and deploy flexible and adaptive applications, enabling to express in full the potentials of the IoT fabric.
Автор: Franco Zambonelli, Giancarlo Fortino, Barbara Re, Mirko Viroli
Издательство: Springer
Серия: Internet of Things
Год: 2024
Страниц: 208
Язык: английский
Формат: pdf (true), epub
Размер: 17.5 MB
This book provides an overview of the many approaches that can adopted for programming and deploying highly-adaptive and large-scale IoT systems, with a specific focus on the key results achieved within the Fluidware research project. The authors start by presenting Fluidware, which develops a novel programming model for IoT services and applications, along with the associated and robust large-scale IoT services and applications. Starting from previous findings in the areas of field-based coordination, collective adaptive systems, stream computing and aggregate computing, the authors address the complexity of building modern, large-scale IoT systems, by a full-fledged engineering approach revolving around a new notion of distributed programming. The authors show how the key innovative idea of Fluidware is to abstract collectives of devices of the IoT fabric as sources, digesters, and targets of distributed "flows" of contextualized events, carrying information about data produced and actuating commands. The book is divided into three parts: (i) the first part is a general introduction to the Fluidware ideas and to the key problems associated with programming IoT systems, (ii) the second part presents the key results achieved within the Fluidware project; (iii) the third part identified open challenges and research directions. However, IoT applications and services can be hard to program and deploy. Indeed, services and applications for the IoT may involve composing and coordinating myriads of heterogeneous devices, typically dispersed over an environment. In the above context, the IoT research community worldwide started putting notable investigation efforts toward the identification of novel programming approaches for IoT applications that could make it possible to deal with the above sources of complexity automatically and rather enable programmers to easily program and deploy flexible and adaptive applications, enabling to express in full the potentials of the IoT fabric.