EconPapers    
Economics at your fingertips  
 

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

Muhammad Aslam Jarwar, Sajjad Ali and Ilyoung Chong
Additional contact information
Muhammad Aslam Jarwar: Department of Information and Communications Engineering, Hankuk University of Foreign Studies, Seoul 02450, Korea
Sajjad Ali: Department of Information and Communications Engineering, Hankuk University of Foreign Studies, Seoul 02450, Korea
Ilyoung Chong: Department of Information and Communications Engineering, Hankuk University of Foreign Studies, Seoul 02450, Korea

Energies, 2019, vol. 12, issue 3, 1-27

Abstract: 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.

Keywords: energy data; energy management services; data and service availability; data processing microservices; internet of things (IoT) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/12/3/360/pdf (application/pdf)
https://www.mdpi.com/1996-1073/12/3/360/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:12:y:2019:i:3:p:360-:d:200295

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:12:y:2019:i:3:p:360-:d:200295