gxceed
← 論文一覧に戻る

Carbon-Aware Test Scheduling in Agentic CI/CD: Risk-Proportionate Agent Tier Routing and Grid-Intensity Deferral

エージェントCI/CDにおけるカーボンアウェアテストスケジューリング：リスク比例エージェント層ルーティングとグリッド強度遅延 (AI 翻訳)

Jadhav, Kavita

Zenodoプレプリント2026-06-29#炭素会計Origin: US対象セクター: cross_sector
DOI: 10.5281/zenodo.21015238
原典: https://zenodo.org/records/21015238
📄 PDF

🤖 gxceed AI 要約

日本語

本論文は、K11tech Agentic AI QAシステム向けのカーボンアウェアテストスケジューラを提案する。リスク比例層ルーティングにより低リスクPRのCI炭素排出を52.5%削減し、グリッド強度遅延により高負荷ワークロードの炭素強度を52.4%削減する。欠陥検出品質を維持し、CSRDやSCI仕様に準拠する。

English

This paper proposes a carbon-aware test scheduler for the K11tech Agentic AI QA system. Risk-proportionate tier routing reduces CI carbon by 52.5% for low-risk PRs, and grid-intensity deferral reduces carbon intensity by 52.4% for full-tier agents. It maintains defect detection quality and aligns with CSRD and SCI.

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

日本では、SSBJや統合報告書においてITシステムのカーボンフットプリント開示が注目され始めている。本論文は、CI/CDパイプラインの炭素排出削減手法を提供し、ソフトウェア開発のグリーン化に貢献する。日本のIT企業が自社の運用効率とESG報告の両面で活用できる。

In the global GX context

Globally, the paper addresses the growing demand for carbon-aware software development aligning with CSRD and SEC climate rules. It offers a practical, open-source solution for reducing CI/CD emissions, relevant to any organization tracking Scope 2 emissions from cloud computing.

👥 読者別の含意

🔬研究者:A practical demonstration of carbon-aware scheduling in agentic CI/CD with measured trade-offs between carbon reduction and quality.

🏢実務担当者:Ready-to-implement open-source adapter for reducing CI/CD carbon emissions by up to 52% with minimal development effort.

🏛政策担当者:Example of how software carbon intensity (SCI) can be operationalized within existing CI/CD infrastructure.

📄 Abstract（原文）

This paper introduces a carbon-aware test scheduler for the K11tech Agentic AI QA System that reduces CI/CD pipeline carbon emissions through two complementary mechanisms: risk-proportionate tier routing, which maps PR risk score to agent tier (CHEAP, MEDIUM, or FULL) to eliminate unnecessary full-suite execution; and grid-intensity deferral, which schedules expensive agents to the lowest-carbon time window in the next six hours using the Green Software Foundation Carbon Aware SDK. Evaluation on 180 real pull requests demonstrates that tier routing reduces per-PR CI carbon by 52.5% for low-risk PRs and 38.7% overall; grid-intensity deferral reduces carbon intensity by 52.4% for full-tier agents, saving 16.80 g CO₂ (31.4% of baseline) for HIGH/CRITICAL workloads. Both mechanisms preserve defect detection quality (F1 = 0.931). Deferred jobs wait a median of 2.1 hours. The scheduler is validated through a five-phase test suite of 197 tests covering unit, integration, agentic, end-to-end, and carbon accounting layers. It integrates with any agentic QA pipeline via a zero-modification adapter pattern and is released as open-source software under the Apache 2.0 license. This work aligns with the EU Corporate Sustainability Reporting Directive (CSRD) and the Green Software Foundation Software Carbon Intensity (SCI) specification.

🔗 Provenance — このレコードを発見したソース

🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。

gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。