Sustainable Cloud Migration: An Analysis of Environmental Impacts and Strategic Optimizations

This paper explores the sustainability implications of transitioning from on-premises infrastructure to cloud-based solutions. The research addresses the increasing importance of environmental sustainability in the rapidly growing cloud computing domain. Motivated by the desire to balance technological advancement with ecological responsibility, the study provides a comprehensive overview of cloud migration’s environmental impact. It assesses this transition through the lens of energy consumption, resource utilization, and carbon emissions, uncovering the "green footprint" accompanying such changes. Key findings reveal that cloud providers are making significant strides towards sustainability goals, including aspirations for 100% renewable energy and carbon neutrality. In addition to these provider-level efforts, user adoption of best practices such as right-sizing resources, limiting test environments, and adhering to optimized coding practices can further enhance the environmental benefits. Using the CodeCarbon tool, we focused on illustrating that design and architectural optimizations at the application level can lead to up to 99% emission reductions. Code-level improvements, including algorithmic efficiency and strategic use of programming languages and libraries, can yield further decreases between 88% and 99%. Moreover, database-focused strategies like indexing and the choice of database type (NoSQL vs. SQL) can lead to emission reductions of up to 92%. Additionally, the decision between monolithic and microservice architectures has significant ramifications for carbon output, depending on the context of their deployment. This study presents actionable recommendations for cloud users to maintain a minimal carbon footprint during migration activities. It underscores the importance of selecting appropriate cloud infrastructures and resources and aligning them with specific application requirements to maximize operational and environmental efficiency. Through meticulous research and extensive experimentation, the thesis contributes valuable insights toward achieving a more sustainable integration of cloud technologies.

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Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.09.461
Primary Topic
Green IT and Sustainability
Type
article
Field-Weighted Citation Impact
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article

Sustainable Cloud Migration: An Analysis of Environmental Impacts and Strategic Optimizations

Lenuța Alboaie, Florin Olariu, Daniel Haivas
Procedia Computer Science
Green IT and Sustainability
article

Sustainable Cloud Migration: An Analysis of Environmental Impacts and Strategic Optimizations

Lenuța Alboaie, Florin Olariu, Daniel Haivas
article en

Abstract

This paper explores the sustainability implications of transitioning from on-premises infrastructure to cloud-based solutions. The research addresses the increasing importance of environmental sustainability in the rapidly growing cloud computing domain. Motivated by the desire to balance technological advancement with ecological responsibility, the study provides a comprehensive overview of cloud migration’s environmental impact. It assesses this transition through the lens of energy consumption, resource utilization, and carbon emissions, uncovering the "green footprint" accompanying such changes. Key findings reveal that cloud providers are making significant strides towards sustainability goals, including aspirations for 100% renewable energy and carbon neutrality. In addition to these provider-level efforts, user adoption of best practices such as right-sizing resources, limiting test environments, and adhering to optimized coding practices can further enhance the environmental benefits. Using the CodeCarbon tool, we focused on illustrating that design and architectural optimizations at the application level can lead to up to 99% emission reductions. Code-level improvements, including algorithmic efficiency and strategic use of programming languages and libraries, can yield further decreases between 88% and 99%. Moreover, database-focused strategies like indexing and the choice of database type (NoSQL vs. SQL) can lead to emission reductions of up to 92%. Additionally, the decision between monolithic and microservice architectures has significant ramifications for carbon output, depending on the context of their deployment. This study presents actionable recommendations for cloud users to maintain a minimal carbon footprint during migration activities. It underscores the importance of selecting appropriate cloud infrastructures and resources and aligning them with specific application requirements to maximize operational and environmental efficiency. Through meticulous research and extensive experimentation, the thesis contributes valuable insights toward achieving a more sustainable integration of cloud technologies.

Procedia Computer ScienceVol. 270
Alexandru Ioan Cuza University (RO)
Openalex Percentile: Top 67%
Green IT and Sustainability
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