IoT, Cloud and BigData Integration for IoT Analytics
Abdur Rahim Biswas, Corentin Dupont, Congduc Pham · River Publishers eBooks · 2022
Over the last years, the Internet of Things (IoT) has moved from being a futuristic vision to market reality. It is not a question any more whether IoT will be surpassing the hype, it is already there and the race between IoT industry stakeholders has already begun. The IoT revolution comes with trillions of connected devices; however the real value of IoT is in the advanced processing of the collected data. By nature, IoT data is more dynamic, heterogeneous and unstructured than typical business data. It demands more sophisticated, IoT-specific analytics to make it meaningful. The exploitation in the Cloud of data obtained in real time from sensors is therefore very much a necessity. This data processing leads to advanced proactive and intelligent applications and services. The connection of IoT and BigData can offer: i) deep understanding of the context and situation; ii) real-time actionable insight; iii) performance optimization; and iv) proactive and predictive knowledge. Cloud technologies offer decentralized and scalable information processing and analytics, and data management capabilities. This chapter describes a Cloud based IoT and BigData platform, together with their requirements. This includes multiple sensors and devices, BigData analytics, cloud data management, edge-heavy computing, machine learning and virtualization.