Cloud Computing’s Role in achieving sustainability goals
Keywords:
Cloud computing, sustainability, energy efficiency, virtualization, green IT, resource optimizationAbstract
Cloud computing has become a transformative force in the IT industry, offering scalable, flexible, and cost-efficient solutions for data storage and processing. Beyond its technical advantages, cloud computing plays a vital role in promoting sustainability by addressing environmental challenges such as energy consumption, carbon emissions, and e-waste generated by traditional IT infrastructure. By optimizing resource usage and enabling shared infrastructure, cloud service providers contribute to reducing the carbon footprint of the IT sector. This paper explores key initiatives led by cloud providers, such as the adoption of renewable energy, innovations in cooling systems, and the development of energy-efficient hardware, all aimed at minimizing environmental impact. Additionally, cloud-based platforms help businesses enhance operational sustainability through optimized supply chains, remote work support, and real-time data analytics to track environmental performance. The paper also examines future trends, including AI-driven energy management and edge computing, which promise to align cloud computing more closely with global sustainability goals. While challenges such as the energy demands of large data centers remain, cloud computing continues to be a pivotal tool in the fight against climate change.
Downloads
References
Mell, P., & Grance, T. (2011). The NIST definition of cloud computing. National Institute of Standards and Technology.[1]
Khan, M. A., & Alghamdi, A. (2020). The role of cloud computing in achieving sustainable development goals. Journal of Sustainable Development, 13(2), 35-43.[2]
Shah, S. A. A., & Ranjan, J. (2019). Leveraging cloud computing for sustainable development: A comprehensive review. Sustainability, 11(4), 977.[3]
Koomey, J. G. (2011). Growth in data center electricity use 2005 to 2010. Analytics Press.[4]
Shehabi, A., Smith, S. J., Sartor, D., & Brown, R. (2016). United States data center energy usage report.[5]
Wuebbles, D. J., & Jain, A. K. (2018). Impacts of data center growth on global energy demand and greenhouse gas emissions. Nature Climate Change, 8(9), 691-696.[6]
Lu, Y., & Saad, W. (2020). Toward sustainable cloud computing: A systematic survey. IEEE Communications Surveys & Tutorials, 22(1), 99-122.[7]
Parvez, I., & Yigitcanlar, T. (2020). E-waste management in cloud computing: Opportunities for sustainability. Journal of Cleaner Production, 268, 122042.[8]
Williams, E., & Sasaki, T. (2018). E-waste management and resource efficiency in the cloud era. Resources, Conservation and Recycling, 136, 100-107.[9]
Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R. H., Konwinski, A., & Zaharia, M. (2010). A view of cloud computing. Communications of the ACM, 53(4), 50-58.[10]
Buyya, R., Yeo, C. S., Venugopal, S., Broberg, J., & Brandic, I. (2009). Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility. Future Generation Computer Systems, 25(6), 599-616.[11]
Tang, C.P., Huang, T.C.K. and Wang, S.T., 2018. The impact of Internet of things implementation on firm performance. Telematics and Informatics, 35(7), pp.2038-2053.
Bennett, E.C., 2020. Jumping into the cloud: privacy, security and trust of cloud-based computing within k-12 American public education (Doctoral dissertation, City University of New York).
Kamiya, G. and Kvarnström, O., 2019. Data centres and energy–from global headlines to local headaches?.
Sharma, D., Nawab, A.Z.B. and Alam, M., 2020. Integrating M-health with IoMT to counter COVID-19. In Computational intelligence methods in COVID-19: Surveillance, prevention, prediction and diagnosis (pp. 373-396). Singapore: Springer Singapore.
Jamil, B., Shojafar, M., Ahmed, I., Ullah, A., Munir, K. and Ijaz, H., 2020. A job scheduling algorithm for delay and performance optimization in fog computing. Concurrency and Computation: Practice and Experience, 32(7), p.e5581.
Gupta, P., Kulkarni, A. and Sarda, A., 2013. An embedded health care supervisory systems. International Journal of Latest Trends in Engineering and Technology (IJLTET), 3, pp.379-386..
Bibri, S.E., 2018. The IoT for smart sustainable cities of the future: An analytical framework for sensor-based big data applications for environmental sustainability. Sustainable cities and society, 38, pp.230-253.
Gholipour, N., Arianyan, E. and Buyya, R., 2012. Recent advances in energy-efficient resource management techniques in cloud computing environments. New Frontiers in Cloud Computing and Internet of Things, pp.31-68.
Li, Q. and Zhou, M., 2011, August. The survey and future evolution of green computing. In 2011 IEEE/ACM International Conference on Green Computing and Communications (pp. 230-233). IEEE.
Tari, Z., Yi, X., Premarathne, U.S., Bertok, P. and Khalil, I., 2015. Security and privacy in cloud computing: vision, trends, and challenges. IEEE Cloud Computing, 2(2), pp.30-38.
Li, A., Yang, X., Kandula, S. and Zhang, M., 2011. Comparing public-cloud providers. IEEE Internet Computing, 15(2), pp.50-53.
Gupta, P. and Kulkarni, N., 2013. An introduction of soft computing approach over hard computing. International Journal of Latest Trends in Engineering and Technology (IJLTET), 3(1), pp.254-258.
Farooq, O. and Gupta, P., 2020, March. Machine learning approaches for IoT-data classification. In Proceedings of the International Conference on Innovative Computing & Communications (ICICC).
Gupta, P. and Sharma, V., 2019, September. A Survey on Multi-objective based clustering techniques for solving real life problems. In 2019 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT) (Vol. 1, pp. 1-4). IEEE.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.
IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.
