クラウド炭素会計におけるボトムアップ指標とトップダウン報告の整合
Reconciling Bottom-Up Metrics with Top-Down Reporting for Cloud Carbon Accounting (原題)
Philipp Wiesner, Loïc Lannelongue, Alexander Acker, O. Kao
🤖 gxceed AI 要約
日本語
クラウド利用企業の炭素測定は、最適化に使えるボトムアップ指標（SCI）と、開示に使えるトップダウン報告が分断されている。本論文は両者を残余項で再結合する「整合型SCI（rSCI）」を提案し、残余を物理的駆動要因ごとに配分することで、アイドル容量や内包炭素を作業負荷に帰属させる。ただし現状のトップダウン報告は粗く方法論も不統一で、実現には報告基準の整備が必要と指摘する。
English
Cloud carbon measurement is split between bottom-up metrics (SCI) for optimization and coarse top-down provider reports for disclosure. This paper proposes reconciled SCI (rSCI), which re-anchors per-workload energy estimates to provider reports via a residual allocated by physical drivers, attributing idle capacity and embodied carbon to workloads. It argues current top-down reporting is too coarse and inconsistent for credible reconciliation, and outlines needed reporting and standards steps.
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
クラウド利用のScope 3算定は日本企業の開示実務で重要性が増しており、SSBJ基準や有報でのScope 3開示を見据えた方法論整備に直結する。プロバイダ側の報告粒度・基準統一は、日本企業がサプライヤー開示を検証する際の前提条件となる。
In the global GX context
As cloud services dominate corporate IT footprints, reconciling tenant-level metrics with provider disclosures is critical for credible Scope 3 accounting under ISSB/CSRD. This work pushes cloud providers toward auditable, standardized reporting that regulators and disclosure frameworks can rely on.
👥 読者別の含意
🔬研究者:クラウド炭素会計におけるボトムアップとトップダウンの統合という未解決課題に対し、残余配分という具体的枠組みを提示する。
🏢実務担当者:クラウド利用企業のScope 3算定・削減目標設定において、プロバイダ開示と自社指標の整合をどう図るかの指針となる。
🏛政策担当者:クラウド事業者の報告基準・粒度の標準化が、企業のScope 3開示の信頼性確保に不可欠であることを示唆する。
📄 Abstract（原文）
Organizations seeking to reduce the carbon footprint of their cloud applications must rely on two largely disconnected ways of measuring it, each with important limitations. Bottom-up metrics like Software Carbon Intensity (SCI) provide signals for carbon-aware optimization, but tenants lack the information needed to account for many provider-side overheads. Top-down reports by cloud providers provide a more comprehensive view of a tenant's carbon footprint but are coarse and methodologically opaque. Because the two approaches differ in scope and reporting frequency, the current state of the art treats them as decoupled: bottom-up metrics for optimization, top-down reports for corporate disclosure. We argue that the two signals should be reconcilable. A per-workload metric whose improvements never surface in the provider's audited report will not be adopted for accountability at scale. We survey the state of the art in cloud carbon accounting and propose a vision for reconciled SCI (rSCI): a per-workload metric that re-anchors a bottom-up energy estimate to the cloud provider's top-down report through a residual. By decomposing and allocating this residual according to its physical drivers, rSCI can preserve operational incentives while also attributing idle capacity and embodied carbon to the workloads that drive them. We show that today's top-down reporting is still too coarse and methodologically inconsistent to support credible reconciliation and lay out concrete steps in provider reporting and standards to make it practical.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1145/3828161.3857847first seen 2026-10-09 05:29:19 · last seen 2026-10-10 05:49:57
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