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Green cloud computing adoption challenges and practices: a client’s perspective-based empirical investigation

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Abstract

Over the last decade, the widespread adoption of cloud computing has spawned a new branch of the computing industry known as green cloud computing. Cloud computing is improving, and data centers are increasing at regular frequencies to meet the demands of users. On the other hand, cloud providers pose major environmental risks because massive data centers use a large amount of energy and leave a carbon footprint. One possible solution to this issue is the use of green cloud computing. However, clients face significant difficulties in adopting green cloud computing. This study aims to understand the problems faced by client organizations while considering green cloud computing. In addition, this study aims to empirically identify the solution to the challenges faced by green cloud computing practitioners. A questionnaire survey approach was used to get insight into green cloud computing practitioners concerning the challenges they faced and their solutions. Data were obtained from sixty-nine professionals in green cloud computing. The results revealed that “lack of quality of service”, “lack of dynamic response”, and “lack of services to satisfy client’s requirements” are critical for green cloud computing. In addition, sixty-three practices for addressing the challenges in green cloud computing are also identified. The identified challenges and practices of green cloud computing will benefit the client organizations to update and revise their process to consider green cloud computing. In addition, it will also assist vendor organizations in developing, planning, and managing systems concerning client satisfaction.

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Acknowledgements

This work was supported in part by the National Research Foundation of Korea (NRF) grant 2022R1G1A1003531, 2022R1A4A3018824, RS-2023-00230593 and Institute of Information and Communications Technology Planning and Evaluation (IITP) grant ITP-2023-2020-0-01741, RS-2022-00155885 funded by the Korea government (MSIT).

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Authors and Affiliations

  1. Software-Engineering-Research-Group (SERG-UOM), Department of Computer Science and IT, University of Malakand, Chakdara, Pakistan

    Ashfaq Ahmad, Rafiq Ahmad Khan & Siffat Ullah Khan

  2. School of Software, Northwestern Polytechnical University, Chang’an, Xian, 710129, Shaanxi, People’s Republic of China

    Rafiq Ahmad Khan

  3. College of Computer and Information Sciences, Jouf University, Sakaka, Saudi Arabia

    Hathal Salamah Alwageed

  4. Department of Computer Science, Applied College, University of Tabuk, 47512, Tabuk, Saudi Arabia

    Abdullah A. Al-Atawi

  5. Department of Robotics, Hanyang University, Ansan, 15588, Korea

    Youngmoon Lee

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  1. Ashfaq Ahmad
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  2. Rafiq Ahmad Khan
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  3. Siffat Ullah Khan
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  4. Hathal Salamah Alwageed
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  5. Abdullah A. Al-Atawi
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  6. Youngmoon Lee
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Contributions

AA conducted SLR and the RAK and SUK reviewed all its steps. HSA and AAA randomly review all the extracted data from the SLR process. In the second step, AA conducted an empirical study. The RAK and YL conduct the pilot study. AAA and YL synthesis and validate the data accordingly.

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Correspondence to Rafiq Ahmad Khan or Youngmoon Lee.

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Appendix 1: Empirical investigation of green cloud computing challenges faced by client organization

Appendix 1: Empirical investigation of green cloud computing challenges faced by client organization

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Ahmad, A., Khan, R.A., Khan, S.U. et al. Green cloud computing adoption challenges and practices: a client’s perspective-based empirical investigation. Cogn Tech Work 25, 427–446 (2023). https://doi.org/10.1007/s10111-023-00734-6

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  • DOI: https://doi.org/10.1007/s10111-023-00734-6

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