Big Data Management and Analytics Metamodel for IoT-Enabled Smart Buildings

Abstract

Big data management and analytics, in the context of IoT (Internet of Things)-enabled smart buildings, is a challenging task. It is a diffused and complex area of knowledge due to the diversity of IoT devices and the nature of data generated by the IoT devices. Many international bodies have developed metamodels for IoT-enabled ecosystems to allow knowledge sharing. However, these are often narrow in focus and deal with only the IoT aspects without taking into account the management and analytics of big data generated by the IoT devices. Hence, in this paper we propose a metamodel for the Integrated Big Data Management and Analytics (IBDMA) framework for IoT-enabled smart buildings. The IBDMA Metamodel can be used to facilitate interoperability between existing big data management and analytics ecosystems deployed in smart buildings or other smart environments. We import the metamodel into a knowledge graph management tool and by considering a case study we validate the metamodel using this tool. The evaluation results demonstrate that IBDMA Metamodel is indeed suitable for its intended purpose.

A Reference Architecture for IoT-Enabled Smart Buildings

“…It also lacks discussion about the real-time analytics and control of the smart buildings. In [21], the IBDMA framework's second component, i.e., the metamodel is presented. The metamodel presents the key elements and the relationship between these elements that are required in the big data management and analytics ecosystem for smart buildings.…”

“…The proposed IBDMA framework is aimed at addressing two issues: (1) how to effectively manage and analyze data generated by IoT sensors deployed inside smart buildings, and (2) how to holistically identify all the elements and the relationship between these elements to effectively manage and analyze, i.e., data in IoT-enabled smart buildings. The first issue is addressed by this paper, while the second issue has been addressed in [21]. There is no coherent framework which provides a metamodel and a reference architecture to address the issues outlined above.…”

“…With IoT, data from various buildings can be observed, gathered, and analyzed, and the IoT sensors can be updated with the latest software from anywhere across the globe. This paper is an extension to our work presented in [21] and [22]. In [21], we presented the idea of an IBDMA (Integrated Big Data Management and Analytics) framework, which comprises of a metamodel and reference architecture.…”

“…This paper is an extension to our work presented in [21] and [22]. In [21], we presented the idea of an IBDMA (Integrated Big Data Management and Analytics) framework, which comprises of a metamodel and reference architecture. The proposed IBDMA framework is aimed at addressing two issues: (1) how to effectively manage and analyze data generated by IoT sensors deployed inside smart buildings, and (2) how to holistically identify all the elements and the relationship between these elements to effectively manage and analyze, i.e., data in IoT-enabled smart buildings.…”

“…The IBDMA reference architecture enables researchers and practitioners to manage and analyze IoT data in a smart building efficiently. The metamodel work has been presented in [21]. In this paper, we present the second component of the IBDMA framework: the IBDMA reference architecture.…”