A Bibliometric Analysis of Green Computing

Chandani, Arti; Wagholikar, Smita; Prakash, Om

doi:10.1007/978-981-19-0095-2_52

Cited by 3 publications

(1 citation statement)

References 16 publications

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“…[57] III. STATE OF THE ART The trends in green computing studies published since 2012 clearly show a growing interest [13], and several approaches [16,40,42,44,50,62] attempt to leverage software life cycle models to reduce its environmental impact.…”

Section: Introductionmentioning

confidence: 99%

Uncovering the Environmental Impact of Software Life Cycle

Simon,

Rust,

Rouvoy

et al. 2023

2023 International Conference on ICT for Sustainability (ICT4S)

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The environmental footprint of a software service development may be impacted by several factors, spanning human factors to infrastructure choices. To the best of our knowledge, the state of the art in the domain of environmental footprint fails i) to address the full spectrum of software services life cycle, from design to operation and maintenance and ii) to cover different categories of impacts. In this paper, we therefore introduce a methodology and the associated model to guide the software development ecosystem and their stakeholders in estimating the environmental footprint of their projects along multiple impact categories. This holistic approach delivers actionable insights to identify potential shifting between phases, such as development and usage, but also hotspots among resources consumed to produce and operate software services. We report on a sample case study that emphasizes the importance of development impact on a software life cycle and shows the relative importance of phases, as well as resources consumed.

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Section: Introductionmentioning

confidence: 99%

Uncovering the Environmental Impact of Software Life Cycle

Simon,

Rust,

Rouvoy

et al. 2023

2023 International Conference on ICT for Sustainability (ICT4S)

View full text Add to dashboard Cite

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Evaluating the Energy Efficiency of Popular US Smartphone Health Care Apps: Comparative Analysis Study Toward Sustainable Health and Nutrition Apps Practices

Almasri,

El-Kour,

Silva

et al. 2024

JMIR Hum Factors

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Background The emergence of smartphones has sparked a transformation across multiple fields, with health care being one of the most notable due to the advent of mobile health (mHealth) apps. As mHealth apps have gained popularity, there is a need to understand their energy consumption patterns as an integral part of the evolving landscape of health care technologies. Objective This study aims to identify the key contributors to elevated energy consumption in mHealth apps and suggest methods for their optimization, addressing a significant void in our comprehension of the energy dynamics at play within mHealth apps. Methods Through quantitative comparative analysis of 10 prominent mHealth apps available on Android platforms within the United States, this study examined factors contributing to high energy consumption. The analysis included descriptive statistics, comparative analysis using ANOVA, and regression analysis to examine how certain factors impact energy use and consumption. Results Observed energy use variances in mHealth apps stemmed from user interactions, features, and underlying technology. Descriptive analysis revealed variability in app energy consumption (150-310 milliwatt-hours), highlighting the influence of user interaction and app complexity. ANOVA verified these findings, indicating the critical role of engagement and functionality. Regression modeling (energy consumption = β₀ + β₁ × notification frequency + β₂ × GPS use + β₃ × app complexity + ε), with statistically significant P values (notification frequency with a P value of .01, GPS use with a P value of .05, and app complexity with a P value of .03), further quantified these bases’ effects on energy use. Conclusions The observed differences in the energy consumption of dietary apps reaffirm the need for a multidisciplinary approach to bring together app developers, end users, and health care experts to foster improved energy conservation practice while achieving a balance between sustainable practice and user experience. More research is needed to better understand how to scale-up consumer engagement to achieve sustainable development goal 12 on responsible consumption and production.

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Evaluating the Energy Efficiency of Popular US Smartphone Health Care Apps: Comparative Analysis Study Toward Sustainable Health and Nutrition Apps Practices (Preprint)

Almasri,

El-Kour,

Silva

et al. 2024

Preprint

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BACKGROUND The emergence of smartphones has sparked a transformation across multiple fields, healthcare being one of the most notable, with the advent of mobile health applications. Among these, mobile health applications have gained popularity, highlighting the need to understand their energy consumption patterns as an integral part of the evolving landscape of healthcare technologies. OBJECTIVE To identify the key contributors to elevated energy consumption in mobile health applications and suggest methods for their optimization, addressing a significant void in our comprehension of the energy dynamics at play within mobile health applications. METHODS Through quantitative comparative analysis of ten prominent mobile health applications available on Android platforms within the United States, this study examines factors contributing to high energy consumption. The analysis included descriptive statistics, comparative analysis using analysis of variance, and regression analysis to examine how certain factors impact energy use and consumption. RESULTS Observed energy use variances in mobile health applications stem from user interactions, features, and underlying technology. Descriptive analysis revealed variability in app energy consumption (150-310 mWh), highlighting the influence of user interaction and application complexity. analysis of variance verified these findings, indicating the critical role of engagement and functionality. Regression modeling (Energy Consumption = β₀ + β₁Notification Frequency + β₂GPS Usage + β₃*Application Complexity + ε), with statistically significant P-values (Notification Frequency P=.01, GPS Usage P=.05, Application Complexity P=.03), further quantified these bases' effects on energy usage. CONCLUSIONS The observed differences in energy consumption of dietary applications reaffirm the need for a multidisciplinary approach to bring together application developers, end-users, and healthcare experts to foster improved energy conservation practice while achieving a balance between sustainable practice and user-experience. More research is needed to better understand how to scale up consumer engagement to achieve the Sustainable Development Goal 12 on responsible consumption and production.

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A Bibliometric Analysis of Green Computing

Cited by 3 publications

References 16 publications

Uncovering the Environmental Impact of Software Life Cycle

Uncovering the Environmental Impact of Software Life Cycle

Evaluating the Energy Efficiency of Popular US Smartphone Health Care Apps: Comparative Analysis Study Toward Sustainable Health and Nutrition Apps Practices

Evaluating the Energy Efficiency of Popular US Smartphone Health Care Apps: Comparative Analysis Study Toward Sustainable Health and Nutrition Apps Practices (Preprint)

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