A Microservices Model to Enhance the Availability of Data for Building Energy Efficiency Management Services

• Published in: Energies (Basel) 2019-01, Vol.12 (3), p.360
• Main Authors: Jarwar, Muhammad Aslam, Ali, Sajjad, Chong, Ilyoung
• Format: Article
• Language: English
• Subjects: data and service availability; data processing microservices; energy data; energy management services; internet of things (IoT)
• ISSN: 1996-1073; 1996-1073
• DOI: 10.3390/en12030360

In the Internet of Things (IoT)-supported energy data management infrastructure, objects from various energy generation and consumption terminals in buildings produce a tremendous amount of data. However, this data is not useful unless it is available on-time for services that discover meaningful information in order to provide intelligent decisions. The microservices-based data caching, data virtualization, data processing, data analysis, and data ingestion methods can be applied to enhance the data availability for energy efficiency management services provision across buildings. To foster building energy efficiency management services (BEEMS), Web of Objects (WoO) provides data abstraction, aggregation, and ingestion mechanism with virtual objects (VOs) and composite virtual objects (CVOs) by using ontologies and availability and scalability of services with microservices. This article proposes the use of data processing microservices modeling to enhance data availability and expose services capabilities with microservices for BEEMS. We present a semantic web agent based on an ontology for linking, enhancement, reusability, and availability of data-objects, services, and microservices. For the evaluation, we present a use case, which includes heterogeneous data collection and processing and provision of various BEEMS. A prototype for the use case scenario has been built and the results have been evaluated in the laboratory to mimic the enhanced data availability for BEEMS.