A Comprehensive Review of Green Computing: Past, Present, and Future Research

Paul, Showmick Guha; Saha, Arpa; Arefin, Mohammad Shamsul; Bhuiyan, Touhid; Biswas, Al Amin; Reza, Ahmed Wasif; Alotaibi, Naif M.; Alyami, Salem A.; Moni, Mohammad Ali

doi:10.1109/access.2023.3304332

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Cited by 4 publications

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A hybrid model for energy-efficient Green Internet of Things enabled intelligent transportation systems using federated learning

Kaleem,

Sohail,

Babar

et al. 2024

Internet of Things

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A hybrid model for energy-efficient Green Internet of Things enabled intelligent transportation systems using federated learning

Kaleem,

Sohail,

Babar

et al. 2024

Internet of Things

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Evaluating Code Sustainability: A Comprehensive Study of Metrics and Tools

Tiwari,

Thombre,

Patel

et al. 2023

2023 IEEE Engineering Informatics

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Machine Learning and Deep Learning Algorithms for Green Computing

Choudhury,

Roy,

Ghosh

et al. 2024

Computational Intelligence for Green Cloud Computing and Digital Waste Management

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Green computing is an innovative approach to making computer systems environmentally friendly, energy-efficient, and low in carbon emissions. It uses advanced techniques from machine learning and deep learning to optimize real-time resource allocation, reducing energy consumption. This approach enhances workload patterns and uses methods like convolutional and recurrent neural networks to enhance architectural efficiency. The integration of ML and DL techniques allows for accurate temperature forecasting and alternative cooling strategies. Despite challenges, the synergistic fusion of ML and DL algorithmic software with green computing holds great promise for reducing energy consumption and enhancing environmental sustainability.

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A Comprehensive Review of Green Computing: Past, Present, and Future Research

Cited by 4 publications

References 231 publications

A hybrid model for energy-efficient Green Internet of Things enabled intelligent transportation systems using federated learning

A hybrid model for energy-efficient Green Internet of Things enabled intelligent transportation systems using federated learning

Evaluating Code Sustainability: A Comprehensive Study of Metrics and Tools

Machine Learning and Deep Learning Algorithms for Green Computing

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