Green Software Engineering: A Study on Energy-Efficient Design and Deployment in Cloud Infrastructure

In the face of growing concerns over environmental sustainability, green software engineering has emerged as a crucial discipline within cloud computing to reduce energy consumption and minimize environmental impact. Cloud data centers, which host a large portion of modern computing infrastructure, are significant contributors to global energy consumption. As cloud adoption increases, so does the need for energy-efficient systems. This paper reviews energy-efficient design and deployment strategies within cloud infrastructure, focusing on how green software engineering practices can optimize resource usage and reduce carbon footprints. The paper explores various energy-saving technologies, including virtualization, dynamic resource allocation, and energy-aware scheduling, and evaluates their effectiveness in reducing cloud infrastructure energy demands. The challenges and limitations of implementing green software engineering practices in cloud systems are also discussed, with insights into future research directions for more sustainable cloud computing.

Authors

Publication Details

Journal
Journal of Data Analysis and Information Processing
Published
2025-01-01
DOI
https://doi.org/10.4236/jdaip.2025.133014
Primary Topic
Green IT and Sustainability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Green Software Engineering: A Study on Energy-Efficient Design and Deployment in Cloud Infrastructure

Eun‐Young Ji, Qun Zhang, Jianjing Jin
Journal of Data Analysis and Information Processing
Green IT and Sustainability
article

Green Software Engineering: A Study on Energy-Efficient Design and Deployment in Cloud Infrastructure

Eun‐Young Ji, Qun Zhang, Jianjing Jin
article en

Abstract

In the face of growing concerns over environmental sustainability, green software engineering has emerged as a crucial discipline within cloud computing to reduce energy consumption and minimize environmental impact. Cloud data centers, which host a large portion of modern computing infrastructure, are significant contributors to global energy consumption. As cloud adoption increases, so does the need for energy-efficient systems. This paper reviews energy-efficient design and deployment strategies within cloud infrastructure, focusing on how green software engineering practices can optimize resource usage and reduce carbon footprints. The paper explores various energy-saving technologies, including virtualization, dynamic resource allocation, and energy-aware scheduling, and evaluates their effectiveness in reducing cloud infrastructure energy demands. The challenges and limitations of implementing green software engineering practices in cloud systems are also discussed, with insights into future research directions for more sustainable cloud computing.

Journal of Data Analysis and Information ProcessingVol. 13(03)
Industry, innovation and infrastructure
Openalex Percentile: Top 83%
Green IT and Sustainability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Green Software Engineering: A Study on Energy-Efficient Design and Deployment in Cloud Infrastructure — Eun‐Young Ji, Qun Zhang, et al. · Journal of Data Analysis and Information Processing (2025) | TGRS Research Map | TGRS