Demand-Side Energy and Power Management in Data Centers: Are Data Centers Modern Societies' Double-Edged Sword?
暫譯: 數據中心的需求側能源與電力管理：數據中心是現代社會的雙刃劍嗎？

Basmadjian, Robert

Demand-Side Energy and Power Management in Data Centers: Are Data Centers Modern Societies' Double-Edged Sword?
  • 出版商: Springer
  • 出版日期: 2025-06-20
  • 售價: $5,480
  • 貴賓價: 9.5 折 $5,206
  • 語言: 英文
  • 頁數: 207
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3031859553
  • ISBN-13: 9783031859557

    • 海外代購書籍(需單獨結帳)

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商品描述

This book explains the principles, foundations and methodologies adopted in data centers to achieve demand-side energy and peak power management. It gives a brief introduction about Smart Grid, how the transition from legacy to Smart Grid is realized, the different approaches for demand-side management (DSM), and then discusses the opportunities of data centers to achieve DSM and highlight the different considered optimization criterion.

Data centers are the backbones in realizing digitization where they host ICT (information and communication technologies) resources like servers, storage devices and networking equipment. Despite their advantages in terms of providing numerous services to our modern society (e.g. social media, e-commerce, online learning), the major drawback is that data centers devour enormous amounts of energy. It is expected that the energy usage of data centers will increase in the next few years - expected to reach almost 25% of the world's overall consumption - due to the emerging and expanding technologies such as Blockchain and 5G.

商品描述(中文翻譯)

這本書解釋了數據中心在需求端能源和峰值功率管理中所採用的原則、基礎和方法論。它簡要介紹了智慧電網（Smart Grid）、從傳統電網過渡到智慧電網的實現方式、需求端管理（DSM）的不同方法，並討論了數據中心在實現DSM方面的機會，以及所考慮的不同優化標準。

數據中心是實現數位化的支柱，承載著資訊與通信技術（ICT）資源，如伺服器、儲存設備和網路設備。儘管它們在為現代社會提供眾多服務（例如社交媒體、電子商務、線上學習）方面具有優勢，但主要缺點是數據中心消耗了大量的能源。預計在未來幾年內，數據中心的能源使用將增加，預計將達到全球總消耗的近25%，這是由於區塊鏈（Blockchain）和5G等新興和擴展技術的影響。

作者簡介

Robert Basmadjian holds a PhD in distributed data synchronization protocol from the University of Toulouse. After completing his doctorate, in 2009 he joined the University of Passau as a postdoctoral fellow, where he obtained his habilitation in 2019. Since then, he has been appointed as a Professor in the Department of Computer Science at the University of Passau and Clausthal University of Technology. He is currently a member of the College of Computing at UM6P as an Associate Professor and heading the Toubkal Supercomputer. He has more than 15 years of experience in the fields of teaching, research and development tackling methodologies and concepts of computer science from both classical and quantum computing perspectives. His main research interests are (1) modeling of performance-energy trade-off for HPC data centers using queuing theory methodology, (2) ML-based prediction modeling using peer-to-peer approach (use case of smart thermostats), (3) statistical and AI-based modeling for the percentage of renewables, (4) modeling, designing and optimizing quantum circuits (e.g. QRAM, arithmetic) using queuing theory, and (5) variational quantum algorithm design and quantum machine learning for renewable energy sources. He has more than 70 scientific publications in the fields of sustainable, green and quantum computing. He was a scientific and technical contributor to EU FP7 FIT4Green and ALL4 Green projects related to demand-response in data centers and also the technical coordinator of the -H2020 Electrific project.

作者簡介(中文翻譯)

羅伯特·巴斯馬吉安（Robert Basmadjian）擁有圖盧茲大學（University of Toulouse）分散式數據同步協議的博士學位。完成博士學位後，他於2009年加入帕紹大學（University of Passau）擔任博士後研究員，並於2019年獲得資格認證（habilitation）。自那時起，他被任命為帕紹大學和克勞斯塔爾科技大學（Clausthal University of Technology）計算機科學系的教授。目前，他是UM6P計算學院的副教授，並負責Toubkal超級計算機。他在教學、研究和開發領域擁有超過15年的經驗，從經典計算和量子計算的角度探討計算機科學的方法論和概念。他的主要研究興趣包括：(1) 使用排隊理論方法建模高效能計算（HPC）數據中心的性能-能量權衡，(2) 基於機器學習（ML）的預測建模，採用點對點方法（智能恆溫器的使用案例），(3) 基於統計和人工智慧（AI）的可再生能源百分比建模，(4) 使用排隊理論建模、設計和優化量子電路（例如QRAM、算術），以及(5) 變分量子算法設計和可再生能源來源的量子機器學習。他在可持續、綠色和量子計算領域擁有超過70篇科學出版物。他曾是歐盟第七框架計劃（EU FP7）FIT4Green和ALL4 Green項目的科學和技術貢獻者，這些項目與數據中心的需求響應相關，並且還是H2020 Electrific項目的技術協調員。

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