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The increasing global emphasis on sustainability and reducing carbon emissions is pushing governments and corporations to rethink their approach to data center design and operation. Given their high energy consumption and exponentially…

The rapid expansion of cloud computing and data center infrastructure has led to significant energy consumption, posing environmental challenges due to the growing carbon footprint. This research explores energy-aware management strategies…

网络与互联网体系结构 · 计算机科学 2025-09-16 Rabab Khan Rongon , Krishna Das

The need to reduce datacenter carbon footprint is urgent. While many sustainability techniques have been proposed, they are often evaluated in isolation, using limited setups or analytical models that overlook real-world dynamics and…

分布式、并行与集群计算 · 计算机科学 2026-03-23 Dante Niewenhuis , Sacheendra Talluri , Alexandru Iosup , Tiziano de Matteis

In this paper, we study a problem of controlling cooling facilities and computational equipments for energy-efficient operations of data centers. Although a plethora of approaches have been proposed in previous literatures, there is a lack…

最优化与控制 · 数学 2019-03-19 Masaki Ogura , Jianxiong Wan , Shoji Kasahara

This study proposes a scalable Digital Twin framework for energy optimization in data centers.The framework integrates IoT-based data acquisition, cloud computing, and machine learning techniques to enable real-time monitoring, forecasting,…

分布式、并行与集群计算 · 计算机科学 2026-05-08 Raphael Hendrigo de Souza Gonçalves , Wendel Marcos dos Santos

The revolution in artificial intelligence (AI) has brought sustainable challenges in data center management due to the high carbon emissions and short cooling response time associated with high-power density racks. While machine learning…

人工智能 · 计算机科学 2026-02-05 Ruihang Wang , Qingang Zhang , Yonggang Wen , Stuart Kennedy

Cloud computing is revolutionizing the ICT landscape by providing scalable and efficient computing resources on demand. The ICT industry - especially data centers, are responsible for considerable amounts of CO2 emissions and will very soon…

分布式、并行与集群计算 · 计算机科学 2012-10-16 Drazen Lucanin , Michael Maurer , Toni Mastelic , Ivona Brandic

Cloud computing is offering utility-oriented IT services to users worldwide. Based on a pay-as-you-go model, it enables hosting of pervasive applications from consumer, scientific, and business domains. However, data centers hosting Cloud…

分布式、并行与集群计算 · 计算机科学 2010-06-03 Rajkumar Buyya , Anton Beloglazov , Jemal Abawajy

An increasing focus on the electricity use and carbon emissions associated with computing has lead to pledges by major cloud computing companies to lower their carbon footprint. Data centers have a unique ability to shift computing load…

系统与控制 · 电气工程与系统科学 2022-03-03 Julia Lindberg , Bernard C. Lesieutre , Line A. Roald

At present, a major concern regarding data centers is their extremely high energy consumption and carbon dioxide emissions. However, because of the over-provisioning of resources, the utilization of existing data centers is, in fact,…

分布式、并行与集群计算 · 计算机科学 2016-08-03 Xibo Jin , Fa Zhang , Athanasios V. Vasilakos , Zhiyong Liu

In recent years, efficient energy utilization becomes an essential requirement for data centers, especially in data centers of world-leading companies, where "Green Data Center" defines a new term for an environment-concerned data center.…

网络与互联网体系结构 · 计算机科学 2011-06-01 Supasate Choochaisri , Vit Niennattrakul , Saran Jenjaturong , Chalermek Intanagonwiwat , Chotirat Ann Ratanamahatana

As machine learning workloads significantly increase energy consumption, sustainable data centers with low carbon emissions are becoming a top priority for governments and corporations worldwide. This requires a paradigm shift in optimizing…

Data centres are very fast growing structures with significant contribution to the world's energy consumption. Reducing the energy consumption of data centres is easier when the components that comprise a data centre and their respective…

分布式、并行与集群计算 · 计算机科学 2018-04-04 R. Rahmani , I. Moser , M. Seyedmahmoudian

The rapid growth of data centers is increasing energy demand and widening the carbon gap in the ICT sector, as fossil fuels still dominate global energy production. Addressing this challenge requires collaboration across research, policy,…

硬件体系结构 · 计算机科学 2025-08-22 Rubén Rodríguez Álvarez , Denisa-Andreea Constantinescu , Miguel Peón-Quirós , David Atienza

Technology use has grown rapidly in recent years. It is infused in virtually every aspect of organizational and individual life. This technology runs on servers, typically in data centers. As workloads grow, more serves are required. Each…

软件工程 · 计算机科学 2023-11-06 Kaushik Dutta , Debra Vandermeer

As the Data Science field continues to mature, and we collect more data, the demand to store and analyze them will continue to increase. This increase in data availability and demand for analytics will put a strain on data centers and…

分布式、并行与集群计算 · 计算机科学 2021-02-10 Justin Gould

Data centers energy demand is increasing. While a great deal of effort has been made to reduce the amount of CO$_2$ generated by large cloud providers, too little has been done from the application perspective. We claim that application…

软件工程 · 计算机科学 2022-01-28 Monica Vitali

The energy consumption of Data Centers (DCs) is a very important figure for the telecommunications operators, not only in terms of cost, but also in terms of operational reliability. A relation between the energy consumption and the weather…

其他计算机科学 · 计算机科学 2018-05-31 Georgios Smpokos , Mohamed A. Elshatshat , Athanasios Lioumpas , Ilias Iliopoulos

Due to increased computing use, data centers consume and emit a lot of energy and carbon. These contributions are expected to rise as big data analytics, digitization, and large AI models grow and become major components of daily working…

The rapid expansion of data centers (DCs) has intensified energy and carbon footprint, incurring a massive environmental computing cost. While carbon-aware workload migration strategies have been examined, existing approaches often overlook…

系统与控制 · 电气工程与系统科学 2025-04-02 Yichao Zhang , Yubo Song , Subham Sahoo
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