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Cloud Computing and Energy Efficiency: Mapping the Thematic Structure of Research

Author

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  • Andrzej Lis

    (Department of Business Excellence, Faculty of Economic Sciences and Management, Nicolaus Copernicus University, 87-100 Toruń, Poland)

  • Agata Sudolska

    (Department of Enterprise Management, Faculty of Economic Sciences and Management, Nicolaus Copernicus University, 87-100 Toruń, Poland)

  • Ilona Pietryka

    (Department of Economics, Faculty of Economic Sciences and Management, Nicolaus Copernicus University, 87-100 Toruń, Poland)

  • Adam Kozakiewicz

    (Research and Academic Computer Network—National Research Institute, 01-045 Warsaw, Poland)

Abstract

The dynamic growth in the use of cloud computing systems results in increasing energy consumption. Consequently, more and more attention is given to energy efficiency issues both in research and theory development as well as the business practice of cloud computing systems. In spite of the rapid development of research, the field has not been mapped from the bibliometric perspective yet. This study aims at publication profiling and mapping the thematic structure of the cloud computing energy efficiency research field. Detailed research objectives include: (1) profiling scientific publications in the field, (2) identifying and exploring thematic research areas, (3) identifying emerging topics and discussing their potential as future research lines. The aforementioned objectives are translated into the following study questions: (1) What are the most productive nations, institutions, source titles, and scholars contributing to research on energy efficiency in cloud computing? (2) What does the thematic structure of the research field look like? (3) What are the “hot” research topics attracting scholars’ attention? The research methodology toolbox includes a combination of bibliometric descriptive studies (research profiling), science mapping (keyword co-occurrence analysis), and literature reviews (systematic literature review). Bibliometric data for analysis were elicited from the Scopus database. The VOSviewer software supported bibliometric analysis and data visualization.

Suggested Citation

  • Andrzej Lis & Agata Sudolska & Ilona Pietryka & Adam Kozakiewicz, 2020. "Cloud Computing and Energy Efficiency: Mapping the Thematic Structure of Research," Energies, MDPI, vol. 13(16), pages 1-21, August.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:16:p:4117-:d:396684
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    References listed on IDEAS

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    Cited by:

    1. Iulia Lupu & Radu Lupu & Adina Criste, 2023. "The Nexus between Green Bonds and European Banks: A Cross-Quantilogram Approach," Energies, MDPI, vol. 16(24), pages 1-19, December.
    2. Katarzyna Sanak-Kosmowska & Jan W. Wiktor, 2021. "The Morphology and Differentiation of the Content of International Debate on Renewable Energy. A Bibliometric Analysis of Web of Science, Scopus, and Twitter," Energies, MDPI, vol. 14(21), pages 1-23, October.
    3. Tadeu F. Oliveira & Samuel Xavier-de-Souza & Luiz F. Silveira, 2021. "Improving Energy Efficiency on SDN Control-Plane Using Multi-Core Controllers," Energies, MDPI, vol. 14(11), pages 1-20, May.
    4. Adam Kozakiewicz & Andrzej Lis, 2021. "Energy Efficiency in Cloud Computing: Exploring the Intellectual Structure of the Research Field and Its Research Fronts with Direct Citation Analysis," Energies, MDPI, vol. 14(21), pages 1-17, October.
    5. Tudor Cioara & Marcel Antal & Claudia Daniela Antal (Pop) & Ionut Anghel & Massimo Bertoncini & Diego Arnone & Marilena Lazzaro & Marzia Mammina & Terpsichori-Helen Velivassaki & Artemis Voulkidis & Y, 2020. "Data Centers Optimized Integration with Multi-Energy Grids: Test Cases and Results in Operational Environment," Sustainability, MDPI, vol. 12(23), pages 1-23, November.
    6. Ying Yang & Jinruo Qin & Jing Lei & Yanping Liu, 2023. "Research Status and Challenges on the Sustainable Development of Artificial Intelligence Courses from a Global Perspective," Sustainability, MDPI, vol. 15(12), pages 1-20, June.

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