Author
Abstract
Green computing involves the exploration and implementation of strategies for designing and producing computing devices and software with a minimized environmental footprint. The adverse effects on the planet, stemming from the energy consumption and Carbon Dioxide (CO2) emissions associated with non-green computing practices, could have irreversible consequences. Global warming, characterized by the gradual and persistent rise in the Earth's average temperature due to CO2 emissions and other contributing factors, underscores the urgency of adopting eco-friendly computing approaches. Potential avenues to enhance the environmental friendliness of computer systems encompass carbon-free computing, solar computing, quiet computing, and the utilization of optimized programming languages. To embrace green computing, it is essential to formulate a sustainable plan, engage in recycling initiatives, make environmentally responsible purchasing choices, curtail paper consumption, and practice energy conservation. By adhering to these principles and incorporating green computing methodologies, there exists a prospect of mitigating the environmental impact of computing activities and fostering sustainable development. Advancements in the field of green computing have given rise to fresh avenues for research. Notably, there has been a significant surge in the resources required for IT and computing systems. Addressing these escalating needs has led to a predominant emphasis on expanding infrastructure to meet demands, often overlooking potential environmental repercussions. This paper delves into various green computing methods, drawing comparisons to underscore the significance of sustainable development.
Suggested Citation
Pranita Manjare, 2023.
"Hormonizing Sustainability and Performance : Exploring Green Computing Solutions for a Greener Tomorrow,"
International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 9(6), pages 344-350, November.
Handle:
RePEc:jbh:ijsrcs:v9:y2023:i6:id:hcseit2390645
Note: Article URL: https://ijsrcseit.com/CSEIT2390645
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