Sustainability dimensions in enhancing the energy and resource efficiency of big data systems
Arunachalam A.R. Jusoh Y.Y. Abdullah R. Umarova Z. Akhmetova S. Iztayev Z. Zhumatayev N.
December 2024Institute of Advanced Engineering and Science
Bulletin of Electrical Engineering and Informatics
2024#13Issue 64475 - 4487 pp.
Big data systems are essential for many businesses to grow, leveraging the vast amounts of data they generate and access. However, big data systems are plagued by significant sustainability challenges. Thus, this study aims to identify metrics that can measure the sustainability of big data systems. This research conducted a comprehensive literature review to identify five key sustainability dimensions: technical, environmental, economic, social, and individual. Then, a set of 29 metrics corresponding to these dimensions was developed. To ensure the relevance and applicability of these metrics, an expert validation session was carried out with five experts in the big data field. The validation process confirmed the appropriateness of our proposed metrics and modification take place. The findings of this study present 30 metrics upon experts’ validation that could enhance the sustainability of big data systems, offering meaningful insights for researchers and practitioners aiming to enhance resource and energy efficiency in this domain.
Big data , Big data systems , Energy efficiency , Resource efficiency , Sustainability dimensions , Sustainability of big data systems
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Department of Software Engineering and Information Systems, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia (UPM), Serdang, Malaysia
Department of Information Systems and Modelling, M. Auezov South Kazakhstan University, Shymkent, Kazakhstan
Department of Computer Science and Software, M. Auezov South Kazakhstan University, Shymkent, Kazakhstan
Department of Software Engineering and Information Systems
Department of Information Systems and Modelling
Department of Computer Science and Software
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