This book focuses on both theoretical and practical aspects of the “Device-Edge-Cloud continuum”, a development approach aimed at the seamless provision of next-generation cyber-physical services through the dynamic orchestration of heterogeneous computing resources, located at different distances to the user and featured by different peculiarities (high responsiveness, high computing power, etc.). The book specifically explores recent advances in paradigms, architectures, models, and applications for the “Device-Edge-Cloud continuum”, which raises many 'in-the-small' and 'in-the-large' issues involving device programming, system architectures and methods for the development of IoT ecosystem. In this direction, the contributions presented in the book propose original solutions and aim at relevant domains spanning from healthcare to industry, agriculture and transportation.

The Internet of Things offers massive societal and economic opportunities while at the same time significant challenges, not least the delivery and management of the technical infrastructure underpinning it, the deluge of data generated from it, ensuring privacy and security, and capturing value from it. This Open Access Pivot explores these challenges, presenting the state of the art and future directions for research but also frameworks for making sense of this complex area. This book provides a variety of perspectives on how technology innovations such as fog, edge and dew computing, 5G networks, and distributed intelligence are making us rethink conventional cloud computing to support the Internet of Things. Much of this book focuses on technical aspects of the Internet of Things, however, clear methodologies for mapping the business value of the Internet of Things are still missing. We provide a value mapping framework for the Internet of Things to address this gap. While there is much hype about theInternet of Things, we have yet to reach the tipping point. As such, this book provides a timely entrée for higher education educators, researchers and students, industry and policy makers on the technologies that promise to reshape how society interacts and operates.

The Internet of Things offers massive societal and economic opportunities while at the same time significant challenges, not least the delivery and management of the technical infrastructure underpinning it, the deluge of data generated from it, ensuring privacy and security, and capturing value from it. This Open Access Pivot explores these challenges, presenting the state of the art and future directions for research but also frameworks for making sense of this complex area. This book provides a variety of perspectives on how technology innovations such as fog, edge and dew computing, 5G networks, and distributed intelligence are making us rethink conventional cloud computing to support the Internet of Things. Much of this book focuses on technical aspects of the Internet of Things, however, clear methodologies for mapping the business value of the Internet of Things are still missing. We provide a value mapping framework for the Internet of Things to address this gap. While there is much hype about theInternet of Things, we have yet to reach the tipping point. As such, this book provides a timely entrée for higher education educators, researchers and students, industry and policy makers on the technologies that promise to reshape how society interacts and operates.

The emergence of the Internet of Things (IoT), combined with greater heterogeneity not only online in cloud computing architectures but across the cloud-to-edge continuum, is introducing new challenges for managing applications and infrastructure across this continuum. The scale and complexity is simply so complex that it is no longer realistic for IT teams to manually foresee the potential issues and manage the dynamism and dependencies across an increasing inter-dependent chain of service provision. This Open Access Pivot explores these challenges and offers a solution for the intelligent and reliable management of physical infrastructure and the optimal placement of applications for the provision of services on distributed clouds. This book provides a conceptual reference model for reliable capacity provisioning for distributed clouds and discusses how data analytics and machine learning, application and infrastructure optimization, and simulation can deliver quality of service requirements cost-efficiently in this complex feature space. These are illustrated through a series of case studies in cloud computing, telecommunications, big data analytics, and smart cities.

This book constitutes the refereed proceedings of the tracks and workshops which complemented the 16th European Conference on Software Architecture, ECSA 2022, held in Prague, Czech Republic, in September 2022. The 26 full papers presented together with 4 short papers and 2 tutorial papers in this volume were carefully reviewed and selected from 61 submissions. Papers presented were accepted into the following tracks and workshops: Industry track; Tools and Demonstrations Track; Doctoral Symposium; Tutorials; 8th International Workshop on Automotive System/Software Architectures (WASA); 5th Context-Aware, Autonomous and Smart Architectures International Workshop (CASA); 6th International Workshop on Formal Approaches for Advanced Computing Systems (FAACS); 3rd Workshop on Systems, Architectures, and Solutions for Industry 4.0 (SASI4); 2nd International Workshop on Designing and Measuring Security in Software Architectures (DeMeSSA); 2nd International Workshop on Software Architecture and Machine Learning (SAML); 9th Workshop on Software Architecture Erosion and Architectural Consistency (SAEroCon); 2nd International Workshop on Mining Software Repositories for Software Architecture (MSR4SA); and 1st International Workshop on Digital Twin Architecture (TwinArch).

This book provides a hands-on experience in software and hardware engineering of IoT devices in edge and cloud computing systems, by putting in practice state-of-the-art concepts of hardware devices, networking and computing software. It proposes a Network of Things Engineering (NoTE) Lab, with seven hands-on lab modules covering topics ranging from “Interfacing sensors and actuators” and “Connecting IoT and Edge with MQTT" to “Data pipelining in cloud computing”. All tools and software used in the NoTE Lab are free and open source, and available to the readers. Specifically, Arduino-based boards that support a variety of low-cost sensors and actuators are used in IoT context. In edge computing, NoTE Lab implements off-the-shelf single board computers, Raspberry Pis with corresponding software and hardware. For cloud, well-known and widely used cloud computing open-source tools (e.g., Kubernetes) are deployed, where readers can learn the basics of monitoring and managing containers in cloud computing. Three communication protocols are used in the end-to-end setup, including MQTT, AMQP and HTTP. This lab book is a "must experiment with" for anybody in academia and industry participating in the fascinating IoT-edge-cloud continuum development.

This book constitutes the constitutes the refereed proceedings of the 10th IFIP WG 6.12 European Conference on Service-Oriented and Cloud Computing , ESOCC 2023, held in Larnaca, Cyprus, during October 24–26, 2023. The 12 full papers and 4 short papers included in this book were carefully reviewed and selected from 40 submissions. They were organized in topical sections as follows: Microservices; Quality of Service; Service Orchestration; Edge Computing; PhD Symposium; and Industry Projects Track.