A Data Brokering Architecture to Guarantee Nonfunctional Requirements in IoT Applications

Mansouri, Taha; Bass, Julian; Gaber, Tarek; Wright, Steven; Scorey, Benedict

Abstract

IoT sensors capture different aspects of the environmental data and generate high throughput data streams. To harvest potential values from these sensors, a system fulfilling the big data requirements should be designed. In this work, we reviewed the important nonfunctional requirements, in particular big data-based
ones. Moreover, we dug out a conventional IoT architecture to address these requirements. Finally, we designed a brokering based architecture which is flexible and scalable enough to cover big data
requirements of high throughput data streams resulted from modern sensors. Evaluation results using quantitative comparisons on use case displayed that the proposed new architecture outperformed the
conventional ones. The experiments showed that the proposed architecture can handle 32 times more load than the conventional.

• Presentation Conference Type: Conference Paper (published)
• Acceptance Date: May 9, 2023
• Online Publication Date: May 26, 2023
• Publication Date: May 26, 2023
• Deposit Date: May 18, 2023
• Publisher: Springer
• Volume: 480
• Pages: 75-84
• Series Title: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
• Book Title: Big Data Technologies and Applications
• ISBN: 9783031336133
• DOI: https://doi.org/10.1007/978-3-031-33614-0_6
• Publisher URL: https://link.springer.com/chapter/10.1007/978-3-031-33614-0_6