Using Budgets to Reduce Application Emissions
アプリケーション排出量削減のためのバジェットの使用 (AI 翻訳)
Leo Wilhelm Lierse, Mahyar Tourchi Moghaddam, Sebastian Werner
🤖 gxceed AI 要約
日本語
ソフトウェアの排出量管理に排出バジェットを提案。固定レートではなく時間制限バジェットで炭素強度の変動に対応。独仏ポーランドの実データで最大36%のタスク達成向上。安定グリッドでも固定レートと同等であることを示す。
English
Proposes emission budgets for software to dynamically manage carbon allowances under variable grid carbon intensity. Using real data from Germany, France, Poland, budget-based management improves task fulfillment by up to 36% compared to fixed rates, while maintaining parity in stable grids. This enables financially predictable emission constraints under carbon pricing.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本でも再エネ導入に伴い炭素強度変動が増加。本手法は、SSBJや有報におけるScope 2排出量管理に応用可能で、変動グリッド下での排出予測に有用。
In the global GX context
As grids become more variable with renewable penetration, this budget-based approach offers a practical mechanism for software systems to comply with emission constraints under carbon pricing schemes like EU ETS or potential SEC rules, aligning with ISSB's emphasis on dynamic Scope 2 accounting.
👥 読者別の含意
🔬研究者:Offers a novel method for dynamic emission management in software, with simulation results quantifying benefits in variable grids.
🏢実務担当者:Can be applied to design software systems that automatically adjust resource usage based on real-time carbon intensity and emission budgets.
🏛政策担当者:Highlights the need for flexible compliance mechanisms that account for grid variability rather than fixed emission rates.
📄 Abstract（原文）
As carbon pricing mechanisms like the EU Emissions Trading System are set to increase prices of energy consumption, software architects face growing pressure to design applications that operate within financially predictable emission constraints. Existing approaches typically enforce rigid per-interval emission rates, which prove unsuitable in electrical grids with highly dynamic carbon intensity, which is common in grids with growing renewable energy adoption. We propose the use of emissions budgets, an approach that replaces fixed emission rates with time-bound budgets, enabling applications to dynamically save unused emission allowances during low carbon intensity periods and expend them during high carbon intensity periods. We describe emissions-aware applications using a MAPE-K feedback loop that continuously monitors application power consumption and grid carbon intensity, then adapts resource allocation through vertical scaling or migration to maintain long-term emission limits while maximizing performance. Through simulation using six weeks of real-world carbon intensity data from Germany, France, and Poland, we demonstrate that budget-based management improves task fulfillment by up to 36% in variable grids compared to fixed rates. Crucially, budgets achieve parity with fixed rates in stable grids, making them a safe replacement. We show that emissions budgets are a practical mechanism to balance environmental constraints, operational costs, and service quality when emissions directly translate to financial penalties.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.48550/arxiv.2604.11341first seen 2026-05-05 19:13:43
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