Effect of Green Computing Initiatives on Energy Consumption in Data Centers in Nigeria
DOI:
https://doi.org/10.47672/ajce.1905Keywords:
Green Computing, Initiatives, Energy Consumption, Data CentersAbstract
Purpose: The aim of the study was to assess the effect of green computing initiatives on energy consumption in data centers in Nigeria.
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: The study found out that implementing green computing initiatives, such as virtualization, server consolidation, and energy-efficient hardware, resulted in significant reductions in energy consumption. Virtualization, in particular, was noted to be highly effective in optimizing server utilization and reducing the number of physical servers needed, thereby lowering overall energy demands. Additionally, the adoption of energy-efficient hardware components, such as processors and cooling systems, played a crucial role in mitigating energy consumption. Overall, the findings suggest that implementing green computing initiatives can lead to substantial energy savings in data centers, aligning with sustainability goals and reducing environmental impact.
Implications to Theory, Practice and Policy: Resource dependency theory, institutional theory and complexity theory may be used to anchor future studies on assessing the effect of green computing initiatives on energy consumption in data centers in Nigeria. Collaborate with industry stakeholders to develop comprehensive guidelines for implementing green computing initiatives in data centers. Advocate for the implementation of regulatory incentives to encourage data center operators to invest in green computing initiatives.
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References
Abdel-Wahab, M., Abdel-Rahman, S., & El-Morsi, A. (2018). Sustainable Energy Strategies for Enhancing Energy Efficiency in Egyptian Data Centers. Journal of Energy Resources Technology, 140(6), 062001.
Adewale, A., Olaniyan, S., & Oyewola, Y. (2018). Challenges and Prospects of Energy Efficiency in Sub-Saharan African Data Centers. Journal of Sustainable Energy Engineering, 6(3), 155-167. Mabogunje, A., Amofa-Sarkodie, S., & Owusu-Manu, D. (2018). Renewable Energy Initiatives and Energy Efficiency Strategies in Sub-Saharan African Data Centers. Sustainable Energy Technologies and Assessments, 28, 197-209.
Al-Ghamdi, A., Al-Abbas, K., & Al-Dhaifallah, M. (2018). Vision 2030: A Roadmap for Energy Efficiency in Saudi Arabia's Data Centers. Journal of Sustainable Energy Engineering, 6(2), 74-85.
Brown, A., & Garcia, B. (2016). Cooling Techniques and Energy Consumption in Data Centers: A Comparative Study. Journal of Sustainable Computing, 6(2), 89-104.
Chaiyasuk, S., Techato, K., & Pholphirul, P. (2018). Energy Efficiency Initiatives in the Computing Sector in Thailand. Energy Policy, 122, 336-345.
Cheng, B., Ru, J., & Seidel, R. J. (2020). Institutional theory: The state of the art and new directions. In Academy of Management Annals (Vol. 14, No. 1, pp. 60-108). DOI: 10.5465/annals.2018.0068
Dey, S., De, D., & Biswas, A. (2018). Energy-efficient data center networks: A review on multilayer optimization techniques. Journal of Network and Computer Applications, 111, 1-22.
Dhinesh Babu, L. D., Shunmuganathan, K. L., & Thirunavukarasu, R. S. (2018). Comprehensive review of cloud data centers: Energy, emissions, and efficiency. Sustainable Cities and Society, 39, 254-273.
Estrada, D., Perez, M. S., & Saez, Y. (2021). Complexity theory in business: A bibliometric analysis. In Business Process Management Journal. DOI: 10.1108/BPMJ-06-2020-0257
Gupta, R., Kumar, R., & Sharma, S. (2018). Energy Efficiency Challenges and Opportunities in Indian Data Centers. International Journal of Green Computing, 7(2), 28-41. Ferreira, A., Santos, F., & Silva, L. (2018). Energy Efficiency Initiatives in Brazilian Data Centers. Journal of Energy Efficiency, 11(4), 789-802.
Jones, A., Smith, B., & Tanaka, C. (2019). Trends in Data Center Cooling Costs in the UK. Journal of Energy Efficiency, 12(3), 345-358. Smith, J., Brown, K., & Johnson, M. (2017). Energy Efficiency Trends in US Data Centers. Energy Policy, 105, 116-124.
Jones, C., & Patel, D. (2017). Server Consolidation and Its Impact on Energy Consumption in Data Centers: A Quantitative Analysis. International Journal of Green Computing, 8(3), 42-57.
Kaur, K., Dutta, K., & Kumar, M. (2018). Energy Efficient Resource Allocation Techniques for Cloud Computing Environment: A Review. Journal of Information Processing Systems, 14(4), 825-849.
Kliazovich, D., Bouvry, P., & Khan, S. U. (2018). Green Cloud Computing: A Review on Energy Efficiency. IEEE Access, 6, 578-590.
Lee, H., et al. (2015). Workload Scheduling Algorithms for Energy-Efficient Cloud Data Centers: A Simulation Study. IEEE Transactions on Sustainable Computing, 3(4), 293-308.
Li, B., Liu, Z., & Lv, J. (2019). A Review of Green Computing Techniques and Their Application in Data Centers. Sustainability, 11(8), 2357.
McGrath, R. G., & Tsai, W. (2019). Resource Dependence Theory: Past and Future. In Academy of Management Perspectives (Vol. 33, No. 4, pp. 438-458). DOI: 10.5465/amp.2018.0024
Morales, A., Hernandez, J., & Garcia, L. (2018). Renewable Energy Adoption in Mexican Data Centers. Renewable and Sustainable Energy Reviews, 82(Part 3), 3948-3957.
Patel, S., et al. (2012). Green Computing Initiatives in Data Centers: A Meta-Analysis of Empirical Studies. Sustainable Computing Review, 2(1), 25-38.
Perez, E., Sanchez, M., & Gomez, J. (2018). Energy Efficiency Strategies in Colombian Data Centers. Journal of Energy Efficiency, 11(6), 1459-1473.
Smith, E., et al. (2018). Longitudinal Case Study of Green Computing Initiatives and Their Impact on Energy Consumption in Data Centers. Journal of Environmental Informatics, 31(1), 75-90.
Smith, J., & Johnson, K. (2013). Hardware Optimization and Energy Consumption in Enterprise Data Centers: A Longitudinal Study. Sustainable Computing: Informatics and Systems, 3(4), 215-230.
Tran, T., Nguyen, N., & Le, T. (2018). Energy Efficiency Challenges and Policies in Vietnam's Data Centers. International Journal of Energy Economics and Policy, 8(2), 81-89.
Wang, C., Jia, J., & Wu, J. (2020). A Survey of Energy-Saving Techniques in Data Centers. IEEE Access, 8, 40956-40975.
Wang, L., & Chen, Y. (2014). Power Management Policies and Their Impact on Energy Consumption in Large-Scale Data Centers: A Field Study. Journal of Green Engineering, 6(3), 123-138.
Widianto, A., Santoso, M., & Setiawan, A. (2018). Renewable Energy Development and Energy Efficiency Initiatives in Indonesian Data Centers. Journal of Sustainable Energy Engineering, 6(1), 16-26.
Wirawan, R., Santoso, H., & Pranowo, A. (2018). Energy Consumption Challenges and Opportunities in Indonesian Data Centers. International Journal of Energy and Environmental Engineering, 9(4), 385-398.
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