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Green Software Engineering

You're reading from   Green Software Engineering Exploring Green Technology for Sustainable IT Solutions

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781835885888
Length 236 pages
Edition 1st Edition
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Author (1):
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Santiago Fontanarrosa Santiago Fontanarrosa
Author Profile Icon Santiago Fontanarrosa
Santiago Fontanarrosa
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Toc

Table of Contents (16) Chapters Close

Preface 1. Part 1: Environmental Impact of Software FREE CHAPTER
2. Chapter 1: Digital Carbon Footprint 3. Chapter 2: Sustainable Software Engineering and Digital Sobriety Principles 4. Part 2: Developing Energy-Efficient Software
5. Chapter 3: Green Architecture and Measuring Impact 6. Chapter 4: User Experience and Design 7. Chapter 5: Algorithms and Programming Languages 8. Chapter 6: Development and Testing 9. Chapter 7: Infrastructure and Deployment 10. Chapter 8: Data Management 11. Part 3: Green Engineering at Scale
12. Chapter 9: Sustainable Software Delivery Framework 13. Chapter 10: Regulations, Standards, and Future Perspectives 14. Index 15. Other Books You May Enjoy

Energy-efficient programming languages

When choosing a programming language, factors that are typically considered include syntax, popularity, support libraries, and performance metrics such as speed and memory usage. Traditionally, these factors have guided the decision-making process to optimize functionality and user experience. Unlike traditional considerations, energy efficiency is often overlooked when choosing programming languages, despite its growing relevance in the context of sustainable software engineering (SSE).

In the research conducted by Pereira, R., Couto, M., and colleagues selected 27 commonly used programming languages to analyze their energy efficiency. The researchers evaluated the electricity consumption required to solve a number of computational problems for each language. To measure the energy usage accurately, they utilized Intel’s Running Average Power Limit (RAPL) tool, which provides detailed estimates of energy consumption for the CPU core...

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