Designing Scalable Iot Solutions With Thingsboard
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Designing Scalable IoT Solutions with ThingsBoard
"Designing Scalable IoT Solutions with ThingsBoard" "Designing Scalable IoT Solutions with ThingsBoard" is an authoritative guide for professionals, architects, and engineers seeking to develop and manage large-scale Internet of Things solutions. Beginning with foundational principles for achieving scalability, reliability, and high availability in IoT environments, the book comprehensively examines modern system architectures—including distributed, hybrid, and cloud-native models. Through clear explanations of horizontal scaling, workload partitioning, and the unique challenges of throughput, latency, and real-time data processing, readers will gain the insight needed to architect robust IoT systems that can handle millions of connected devices. The book delves deeply into ThingsBoard, a leading open-source IoT platform, providing a detailed exploration of its architecture, core components, and extensibility. Through focused chapters on device connectivity, data ingestion, edge/cloud processing, and rule engine implementation, the guide illustrates how to leverage ThingsBoard's powerful features for scalable data handling and device management. From bulk onboarding and secure provisioning to advanced analytics and custom dashboard visualizations, readers will learn how to optimize every stage of the IoT data lifecycle while ensuring rigorous security, privacy, and compliance across complex deployments. Further, the book addresses the operational realities of running IoT platforms at scale, including DevOps best practices, automated CI/CD pipelines, and resilience engineering. Advanced integration techniques for legacy OT systems, third-party services, and cutting-edge AI/ML applications are explored alongside future trends such as federated architectures, zero trust security, quantum-resilient protocols, and sustainable design. With actionable patterns, real-world use cases, and forward-looking perspectives, "Designing Scalable IoT Solutions with ThingsBoard" is an indispensable resource for building future-ready IoT infrastructures.
Enterprise Design, Operations, and Computing. EDOC 2023 Workshops
Author: Tiago Prince Sales
language: en
Publisher: Springer Nature
Release Date: 2024-03-01
This volume constitutes revised selected papers of several workshops, the EDOC Forum and the Demonstrations and Doctoral Consortium track, which were held in conjunction with the 27th International Conference on Enterprise Design, Operations, and Computing, EDOC 2023, in Groningen, The Netherlands, during October 30–November 3, 2023. The 18 revised full papers and 7 short papers presented in this book were carefully reviewed and selected from 37 submissions. They stem from the following satellite events: - Workshop on Intelligent Digital Architecture, Methods, and Services for Industry 4.0 and Society 5.0 (IDAMS) - Workshop on Empirical Methodologies for Research in Enterprise Architecture and Service-Oriented Computing (iRESEARCH) - Workshop on the Modelling and Implementation of Digital Twins for Complex Systems (MIDas4CS) - Workshop on Service-oriented Enterprise Architecture for Enterprise Engineering (SoEA4EE) - EDOC Forum - Demonstrations Track - Doctoral Consortium
Internet of Things for Indoor Air Quality Monitoring
This book provides a synthesis for using IoT for indoor air quality assessment. It will help upcoming researchers to understand the gaps in the literature while identifying the new challenges and opportunities to develop healthy living spaces. On the other hand, this book provides insights about integrating IoT with artificial intelligence to design smart buildings with enhanced air quality. Consequently, this book aims to present future scope for carrying out potential research activities in this domain. Over the past few years, the Internet of Things (IoT) is proven as the most revolutionizing invention in the field of engineering and design. This technology has wide scope in automation and real-time monitoring. Indoor air quality assessment is one of the most important applications of IoT which helps in the development of smart and healthy living spaces. Numerous methods have been developed for air quality assessment to ensure enhanced public health and well-being. The combination of sensors, microcontrollers, and communication technologies can be used to handle the massive amount of field data to access the condition of building air quality.