Sustainable Cloud Computing and Carbon‐Aware Architectures
持続可能なクラウドコンピューティングとカーボンアウェアアーキテクチャ (AI 翻訳)
Vamsi Alla, Ashish Kattamuri
🤖 gxceed AI 要約
日本語
本論文は、クラウドデータセンターのカーボンフットプリント削減戦略をレビューする。エネルギー効率の高いハードウェア、高度な冷却技術、再生可能エネルギーの調達、AIによるワークロード最適化などを取り上げ、GoogleやMicrosoftの事例を紹介する。持続可能なクラウドエコシステムの設計枠組みを提供する。
English
This paper reviews strategies for reducing the carbon footprint of cloud data centers, including energy-efficient hardware, advanced cooling, renewable energy procurement, and AI-driven workload optimization. Case studies from Google and Microsoft illustrate practical implementation. It provides a framework for designing greener cloud ecosystems.
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
日本ではデータセンターの増加に伴い、エネルギー消費とCO2排出が課題となっている。本稿の省エネ技術や再エネ調達の戦略は、日本の企業やデータセンター運営者にとって実践的な知見を提供する。
In the global GX context
Global context: Data centers are a significant source of emissions. This paper aligns with global efforts to decarbonize IT infrastructure, relevant to TCFD/ISSB reporting for IT companies and cloud providers.
👥 読者別の含意
🔬研究者:Provides a comprehensive overview of current carbon-reduction strategies in cloud computing, useful for identifying research gaps.
🏢実務担当者:Offers actionable insights on hardware, cooling, and renewable energy procurement for data center operators.
🏛政策担当者:Highlights the need for policies promoting energy-efficient data centers and renewable energy integration.
📄 Abstract（原文）
The exponential growth of cloud computing has changed the digital infrastructure but also brings with it significant environmental challenges. Data centers now account for about 1.2% of global greenhouse gas emissions, which gives rise to urgent concerns about sustainability. This chapter examines sustainable cloud computing and carbon-conscious architectures, focusing on strategies to minimize environmental impacts while maintaining performance and scalability. Key approaches are the application of energy-efficient hardware such as advanced RISC machine (ARM)-based processors, the implementation of advanced cooling solutions such as two-phase immersion cooling, the integration of renewable energy sources through mechanisms such as energy purchasing agreements, and the use of carbon-conscious workload planning powered by AI and real-time data. Case studies, including Google's 100% renewable data centers and Microsoft's underwater Project Natick, show practical applications of these strategies. This chapter provides a comprehensive framework and roadmap for researchers, practitioners, and policymakers to design greener cloud ecosystems that balance operational efficiency, economic viability, and technological innovation with environmental responsibility.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1002/9781394382484.ch17first seen 2026-06-18 05:20:07
🔔 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。