Profiling the carbon footprint of performance bugs
January 03, 2024 Β· Declared Dead Β· π 2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)
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Authors
Iztok Fister, DuΕ‘an Fister, Vili Podgorelec, Iztok Fister
arXiv ID
2401.01782
Category
cs.SE: Software Engineering
Citations
2
Venue
2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)
Last Checked
4 months ago
Abstract
Much debate nowadays is devoted to the impacts of modern information and communication technology on global carbon emissions. Green information and communication technology is a paradigm creating a sustainable and environmentally friendly computing field that tries to minimize the adverse effects on the environment. Green information and communication technology are under constant development nowadays. Thus, in this paper, we undertake the problem of performance bugs that, until recently, have never been studied so profoundly. We assume that inappropriate software implementations can have a crucial influence on global carbon emissions. Here, we classify those performance bugs and develop inappropriate implementations of four programs written in C++. To mitigate these simulated performance bugs, measuring software and hardware methods that can estimate the increased carbon footprint properly were proposed.
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