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Vol.8, No.2, May 2019. ISSN: 2217-8309 eISSN: 2217-8333
TEM Journal
TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS Association for Information Communication Technology Education and Science |
An Approach to Implementing the Batch Layer in an Energy Management System
Milko Marinov
© 2019 Milko Marinov, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)
Citation Information: TEM Journal. Volume 8, Issue 2, Pages 339-345, ISSN 2217-8309, DOI: 10.18421/TEM82-04, May 2019.
Received: 05 February 2019.
Abstract:
Recently, Energy Management Systems (EMS) have become more integrated and created higher demand of big data processing, thus challenging the real time analysis based on big data technologies. Marz’s Lambda architecture is used for solving problems with querying high amounts of petabyte data. In relation to this, this article presents the Lambda architecture of a particular EMS. The quick and inaccurate results received from the speed layer are replaced by the more precise results of the batch layer. With reference to this, the author proposes a realization of the batch layer based on Hadoop MapReduce technology.
Keywords – Lambda architecture, Energy Management System, Batch layer, MapReduce techniques. |
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