Using Budgets to Reduce Application Emissions
予算を用いたアプリケーション排出量の削減 (AI 翻訳)
Leo Wilhelm Lierse, M. T. Moghaddam, Sebastian Werner
🤖 gxceed AI 要約
日本語
本論文は、変動する炭素強度の電力網において、アプリケーションの排出量を予算管理する手法を提案する。固定レートに代わり、時間枠付きの排出予算を用いることで、低炭素時に排出枠を貯め、高炭素時に使用する。ドイツ・フランス・ポーランドの実データを用いたシミュレーションにより、可変グリッドでは固定レート比36%向上、安定グリッドでは同等の性能を示した。
English
This paper proposes an emissions budget approach for application energy management in grids with variable carbon intensity. Instead of fixed per-interval emission rates, time-bound budgets allow dynamic saving and spending of emissions allowances. Simulations using real data from Germany, France, and Poland show up to 36% improvement in task fulfillment over fixed rates in variable grids, while matching performance in stable grids.
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
日本でも再生可能エネルギー導入に伴い電力網の炭素強度変動が課題となりつつある。本手法は、データセンターやクラウドサービスの運用において、排出量とパフォーマンスのトレードオフを最適化する実践的な知見を提供する。
In the global GX context
As grids integrate more renewables, carbon intensity volatility increases. This budget-based approach offers a practical mechanism for software systems to balance emissions constraints with performance, directly relevant to carbon pricing regimes like EU ETS and potential future regulations.
👥 読者別の含意
🔬研究者:The MAPE-K feedback loop for emissions-aware adaptation is a novel contribution to green computing research.
🏢実務担当者:Software architects can adopt emissions budgets to dynamically manage application resource usage and meet financial emission constraints.
🏛政策担当者:Demonstrates that flexible emission management can improve efficiency under carbon pricing, informing design of regulatory frameworks for digital infrastructure.
📄 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
- semanticscholar https://www.semanticscholar.org/paper/0d6277283655d7c5b6aa40e751c452d8083d4c61first seen 2026-05-05 22:55:53
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