• Surjeet Kushwaha
• Arun Kumar Yadav
• H. N. Verma

In pursuit of heightened energy efficiency and sustainable computing, this research diverges from conventional survey-based methodologies, introducing a pioneering algorithmic framework. Delving into an innovative research model, we intricately examine the dynamic interaction between desktop virtualization and green computing practices. Our model harnesses advanced algorithms to optimize critical aspects such as energy consumption, resource allocation, response time, and system analysis. Rooted in comprehensive data and rigorous analysis, this study elucidates the transformative impact of algorithmic integration in fostering sustainable computing environments. Departing from traditional survey approaches enables a nuanced understanding of the intricate relationships among technological components, offering insights of relevance to the global academic community. This paper contributes to the evolving discourse on sustainable computing by introducing a fresh approach EcRU-Re aligned with contemporary research trajectories and technological advancements. Furthermore, our findings illuminate the correlation between desktop virtualization and green computing practices. They suggest that integrating these approaches can yield significant benefits for enterprises, including cost savings and heightened sustainability. By adopting these techniques, organizations stand to enhance their operational efficiency while simultaneously reducing their environmental footprint.

Energy efficiency, Sustainable computing, Desktop virtualization, Optimization, Resource utilization.

"Maximizing Energy Efficiency and Sustainability: A Unified Approach to Desktop Virtualization and Green Computing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.h372-h379, April-2024, Available :http://www.jetir.org/papers/JETIR2404747.pdf

"Maximizing Energy Efficiency and Sustainability: A Unified Approach to Desktop Virtualization and Green Computing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. pph372-h379, April-2024, Available at : http://www.jetir.org/papers/JETIR2404747.pdf