Scalable architecture for the internet of things an introduction to data-driven computing platforms

As a key part of the nascent fourth industrial revolution, the Internet of Things enables machine-to-machine and machine-to-person use cases on a massive scale. How do you connect and manage billions of distributed devices—in home appliances, manufacturing devices, or vehicles—and then transfer, sto...

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Detalles Bibliográficos
Otros Autores: Varga, Ervin, author (author), Mijić, Dejan, author, Drašković, Draško, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Sebastopol, CA : O'Reilly Media 2018.
Edición:First edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630409706719
Descripción
Sumario:As a key part of the nascent fourth industrial revolution, the Internet of Things enables machine-to-machine and machine-to-person use cases on a massive scale. How do you connect and manage billions of distributed devices—in home appliances, manufacturing devices, or vehicles—and then transfer, store, and process all of the data these devices produce? That requires an efficient IoT platform. This report examines the key attributes of scalable IoT platforms, and provides criteria for evaluating various industrial platforms now available. Developers and architects will also get an overview of the IoT, including a look at the architecture of a data-driven solution, and a case study that examines the differences between a traditional power grid and an IoT-enabled smart grid. Authors Dejan Mijic, Draško Draškovic, and Ervin Varga help you evaluate four industrial IoT platforms, including two commercial products—Amazon Web Services (AWS) IoT and Microsoft Azure IoT Suite—and two open source products—Mainflux and EdgeX Foundry. Each IoT platform chapter provides: An overview of the platform architecture How to set up the ecosystem Event management and system dashboards The application integration layer Security considerations Building end-to-end example
Descripción Física:1 online resource (1 volume) : illustrations
ISBN:9781492024132
9781492024125