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Environmentally Sustainable Software and Data Architectures (Keynote)

Published: 28 August 2024 Publication History

Abstract

The rising threat of climate change is leading countries to commit to ambitious carbon-reduction goals. Concurrently, a significant portion of Fortune 500 companies are targeting carbon emission cuts by 2030. As digital integration grows, Technology represents a huge opportunity, yet, the energy footprint of software is often overlooked. Each application transaction, interaction and new data asset adds to the energy demand, making sustainable software and data practices crucial. While improving sustainability in data and software alone won’t solve climate change, with an understanding of technology’s contribution to carbon emissions, a focus on tech’s foundational elements at multiple levels can pave the way for more substantial reductions in the future: (i) Software engineers can reduce the carbon emissions from their software and data by being aware of the effects of their choices. (ii) CTOs can make environmental sustainability a non-functional requirement for all software development. (iii) Companies can incorporate the environmental effects of software as a metric when gauging the quality of a solution. The goal is to cultivate a culture that embeds environmental sustainability into standard software and data engineering practices. Now is the perfect time to start!

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    cover image ACM Conferences
    Erlang 2024: Proceedings of the 23rd ACM SIGPLAN International Workshop on Erlang
    August 2024
    107 pages
    ISBN:9798400710988
    DOI:10.1145/3677995
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).

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    Published: 28 August 2024

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    Overall Acceptance Rate 51 of 68 submissions, 75%

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