Fluidware


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Fluidware


Fluidware

Author: Franco Zambonelli

language: en

Publisher: Springer Nature

Release Date: 2024-07-12


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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.

Models, Languages, and Tools for Concurrent and Distributed Programming


Models, Languages, and Tools for Concurrent and Distributed Programming

Author: Michele Boreale

language: en

Publisher: Springer

Release Date: 2019-07-03


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This volume was published in honor of Rocco De Nicola’s 65th birthday. The Festschrift volume contains 27 papers written by close collaborators and friends of Rocco De Nicola and was presented to Rocco on the 1st of July 2019 during a two-day symposium held in Lucca, Italy. The papers present many research ideas that have been influenced by Rocco's work. They testify his intellectual curiosity, versatility and tireless research activity, and provide an overview of further developments to come. The volume consists of six sections. The first one contains a laudation illustrating the distinguished career and the main scientific contributions by Rocco and a witness of working experiences with Rocco. The remaining five sections comprise scientific papers related to specific research interests of Rocco and are ordered according to his scientific evolution: Observational Semantics; Logics and Types; Coordination Models and Languages; Distributed Systems Modelling; Security.

Fluidware


Fluidware

Author: Franco Zambonelli

language: en

Publisher: Springer

Release Date: 2024-08-24


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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.