Green Cloud Computing: Achieving Sustainability Through Energy-Efficient Techniques, Architectures, and Addressing Research Challenges
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- First Online: 11 October 2023
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- Prabhdeep Singh 7 &
- Vikas Tripathi 7
Part of the book series: Algorithms for Intelligent Systems ((AIS))
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- International Conference on Paradigms of Communication, Computing and Data Analytics
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Green cloud computing aims to reduce the environmental impact of cloud computing. It contributes significantly to the world's energy use and carbon emissions. The cloud computing industry allows users from all over the world to access resources and processing power. Comparing it to specialist high-performance computing hardware results in cost savings and better performance. Large data centers are required for this service, which consumes a lot of energy and produces a lot of carbon dioxide. Utilizing energy-efficient procedures and sustainable infrastructures, data centers become more sustainable and reduce their carbon impact. Virtualization, energy-efficient hardware, energy-efficient cooling, and dynamic power management are some techniques that contribute to the "greening" of cloud computing. Architecture and various power consumption measurement parameters are surveyed in this paper. This computing requires significant amounts of power to run the data centers that support it. Data centers require a continuous and reliable power supply to ensure uninterrupted services to customers. Further, the research difficulties of green cloud computing are investigated.
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Sneha, Prabhdeep Singh & Vikas Tripathi
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Department of Mathematics, Dr. B. R. Ambedkar National Institute Technology, Jalandhar, India
Anupam Yadav
Department of Electronics and Communication Engineering, Malaviya National Institute of Technology Jaipur, Jaipur, India
Satyasai Jagannath Nanda
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore
Meng-Hiot Lim
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Sneha, Singh, P., Tripathi, V. (2023). Green Cloud Computing: Achieving Sustainability Through Energy-Efficient Techniques, Architectures, and Addressing Research Challenges. In: Yadav, A., Nanda, S.J., Lim, MH. (eds) Proceedings of International Conference on Paradigms of Communication, Computing and Data Analytics. PCCDA 2023. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-99-4626-6_8
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DOI : https://doi.org/10.1007/978-981-99-4626-6_8
Published : 11 October 2023
Publisher Name : Springer, Singapore
Print ISBN : 978-981-99-4625-9
Online ISBN : 978-981-99-4626-6
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