Solutions for Big Data Processing and Analytics in Context of Smart Homes
Adela Bara (),
Bogdan Tudorica () and
Razvan Cristian Marales ()
Additional contact information
Adela Bara: The Bucharest University of Economic Studies, Romania
Bogdan Tudorica: The Bucharest University of Economic Studies, Romania
Razvan Cristian Marales: METRO SYSTEMS, Romania
Database Systems Journal, 2018, vol. 9, issue 1, 80-89
The paper analysis Big Data storage and processing solutions applicable in the smart grid context in case of large volume of data coming from sensors (smart meters, IoT appliances). A flexible architecture for data management is proposed that consists in three layers: relational database (RB) tier, big data (DG) tier and data warehouse (DW) tier. A proof of concept implementation is also provided, using Elasticsearch and Kibana.
Keywords: Big Data; Smart Home; IoT; Smart Metering; Data Management (search for similar items in EconPapers)
References: View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:aes:dbjour:v:9:y:2018:i:1:p:80-89
Access Statistics for this article
Database Systems Journal is currently edited by Ion Lungu
More articles in Database Systems Journal from Academy of Economic Studies - Bucharest, Romania Contact information at EDIRC.
Bibliographic data for series maintained by Adela Bara ().