arXiv:2607.06124v1 Announce Type: cross Abstract: The increasing energy demand of software systems is raising concerns about their environmental impact and associated costs. Reasoning on energy usage early in the development flow has the potential to significantly reduce the overall energy usage of a software system, as it allows developers to make informed design and refactoring decisions before inefficiencies propagate. However, assessing energy usage without repeated profiling and direct measurement is difficult, which limits early reasoning in practice. This study investigates the limits o
The increasing energy demand of software and AI systems is forcing researchers to develop tools for early energy optimization, driven by environmental and cost concerns.
This research provides a method for predicting energy usage in software, which is critical for making informed design decisions and mitigating the growing energy footprint of technology.
Developers can now proactively address energy inefficiency in Java methods without constant physical profiling, potentially making sustainability a more integrated part of software development.
- · Software developers
- · Cloud providers
- · Environmental sustainability initiatives
- · Energy-efficient hardware manufacturers
- · Inefficient software architectures
- · Companies with high energy consumption software
- · Traditional energy-intensive data centers
Reduced operational costs for software systems due to lower energy consumption.
Increased adoption of energy-aware programming practices and development tools across the industry.
Impact on compute infrastructure design, prioritizing energy efficiency from code to hardware to data center operations.
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