Paper Type
Complete
Paper Number
1273
Description
This paper presents a novel Reference Architecture (RA) for designing complex Internet of Things (IoT) data platforms with a focus on High Availability (HA). HA is crucial in various IoT applications, from smart cities to industrial sectors like smart farming, where system disruptions can lead to significant losses. The RA aims to guide business-es in designing IoT data platforms that ensure uninterrupted operations and maintain data integrity. We identify essential features such as redundancy, replication, and a layered approach by synthesizing insights from existing RAs and architectures of IoT data platforms, particularly in large-scale implementations. A Design Science Research approach is used to develop a comprehensive RA for HA iteratively. This comprehensive framework contributes to the field of Information Systems by providing a blueprint for developing scalable and resilient IoT data platforms capable of accommodating the rapid growth of IoT data across diverse domains.
Recommended Citation
Aldenhoff, Timon T.; Arz von Straussenburg, Arnold F.; and Riehle, Dennis M., "Designing for High Availability – A Reference Architecture for IoT Data Platforms" (2024). PACIS 2024 Proceedings. 1.
https://aisel.aisnet.org/pacis2024/track06_dpe/track06_dpe/1
Designing for High Availability – A Reference Architecture for IoT Data Platforms
This paper presents a novel Reference Architecture (RA) for designing complex Internet of Things (IoT) data platforms with a focus on High Availability (HA). HA is crucial in various IoT applications, from smart cities to industrial sectors like smart farming, where system disruptions can lead to significant losses. The RA aims to guide business-es in designing IoT data platforms that ensure uninterrupted operations and maintain data integrity. We identify essential features such as redundancy, replication, and a layered approach by synthesizing insights from existing RAs and architectures of IoT data platforms, particularly in large-scale implementations. A Design Science Research approach is used to develop a comprehensive RA for HA iteratively. This comprehensive framework contributes to the field of Information Systems by providing a blueprint for developing scalable and resilient IoT data platforms capable of accommodating the rapid growth of IoT data across diverse domains.
When commenting on articles, please be friendly, welcoming, respectful and abide by the AIS eLibrary Discussion Thread Code of Conduct posted here.
Comments
Platforms