ItemBook Chapter

Enhancing operational efficiency in cloud computing through computational intelligence for environmental sustainability

Title
Enhancing operational efficiency in cloud computing through computational intelligence for environmental sustainability
Creator
Singh, Nidhi; Arya, Prabha; Dadwal, Sapna; Upreti, Shitiz; Poonia, Ramesh Chandra; Jain, Rituraj
Description
In the era of generative artificial intelligence technologies, an increasing number of organizations are adopting solutions such as ChatGPT, DeepSeek, Gemini, and Bard, and there has been a significant increase in computationally intensive operations that impact data center operations, as these require a high CPU- and GPU-based infrastructure and a large amount of electricity to run. In this data-driven environment, there is a need to look for and identify a holistic solution to address the concern of managing cloud operations with sustainable practices that can help not only reduce the carbon footprint but also be environment and pocket friendly. Organizations have started adopting smart intelligent technologies and sensors that track and help minimize and prescribe solutions to address the high usage of cloud resources. In this study, we have tried to check the impact of the role of such technologies in optimizing energy consumption, reducing the carbon footprint, and enabling eco-friendly, sustainable practices within cloud operations. While going through the study, you will find that the adoption of new technological solutions that leverage sensors and artificial intelligence-based smart technologies has a profound impact on long-term energy efficiency gains. The study highlights the importance of leveraging computational intelligence-based solutions to drive long-term environmental benefits, while also emphasizing the role of sustainable solutions, such as renewable energy integration and collaborative partnerships, in achieving the desired outcomes. 2026 selection and editorial matter, Jossy George, Kamal Upreti, Ramesh Chandra Poonia, Ankit Gautam, and Danish Nadeem; individual chapters, the contributors.
Source
Cognitive Cloud Computing: Building Intelligent Systems for Tomorrow;pp.289-306
Date
01-01-2025
Publisher
Taylor and Francis
Coverage
Singh N., School of Management, G D Goenka University, Haryana, Sohna Gurugram, India; Arya P., School of Management, G D Goenka University, Haryana, Sohna Gurugram, India; Dadwal S., Department of Management Studies, DPG Institute of Technology and Management, Gurugram, India; Upreti S., Manav Rachna International Institute of Research & Studies (MRIIRS), Haryana, Faridabad, India; Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University, Bengaluru, India; Jain R., Department of Information Technology, Marwadi University, Rajkot, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 978-104054278-1; 978-103294165-3;
Format
online
Language
English
Type
Book chapter

Citation

Singh, Nidhi; Arya, Prabha; Dadwal, Sapna; Upreti, Shitiz; Poonia, Ramesh Chandra; Jain, Rituraj, “Enhancing operational efficiency in cloud computing through computational intelligence for environmental sustainability,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/24401.

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