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 containersin 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 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 containersin 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 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 containersin 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.