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The increasing demand for Artificial Intelligence (AI) computing poses significant environmental challenges, with both operational and embodied carbon emissions becoming major contributors. This paper presents a carbon-aware holistic…

The latest trends in the adoption of cloud, edge, and distributed computing, as well as a rise in applying AI/ML workloads, have created a need to measure, monitor, and reduce the carbon emissions of these compute-intensive workloads and…

Networking and Internet Architecture · Computer Science 2024-06-17 Jacob Goldverg , Hasibul Jamil , Elvis Rodriguez , Tevfik Kosar

The soaring energy demands of large-scale software ecosystems and cloud data centers, accelerated by the intensive training and deployment of large language models, have driven energy consumption and carbon footprint to unprecedented…

Software Engineering · Computer Science 2025-08-11 Jialin Yang , Zainab Saad , Jiajun Wu , Xiaoguang Niu , Henry Leung , Steve Drew

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…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-04-04 R. Rahmani , I. Moser , M. Seyedmahmoudian

The rapid growth of machine learning (ML) has led to an increased demand for computational power, resulting in larger data centers (DCs) and higher energy consumption. To address this issue and reduce carbon emissions, intelligent design…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-04-18 Soumyendu Sarkar , Avisek Naug , Antonio Guillen , Ricardo Luna , Vineet Gundecha , Ashwin Ramesh Babu , Sajad Mousavi

Data centers form a key part of the infrastructure upon which a variety of information technology services are built. They provide the capabilities of centralized repository for storage, management, networking and dissemination of data.…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-06-06 Mueen Uddin , Azizah Abdul Rahman

Computing systems have undergone several inflexion points - while Moore's law guided the semiconductor industry to cram more and more transistors and logic into the same volume, the limits of instruction-level parallelism (ILP) and the end…

Hardware Architecture · Computer Science 2022-03-24 Rajeev Muralidhar , Renata Borovica-Gajic , Rajkumar Buyya

The rapid rise in cloud computing has resulted in an alarming increase in data centers' carbon emissions, which now accounts for >3% of global greenhouse gas emissions, necessitating immediate steps to combat their mounting strain on the…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-03-04 Shiyu Wang , Yinbo Sun , Xiaoming Shi , Shiyi Zhu , Lin-Tao Ma , James Zhang , Yifei Zheng , Jian Liu

Scientific research in many fields routinely requires the analysis of large datasets, and scientists often employ workflow systems to leverage clusters of computers for their data analysis. However, due to their size and scale, these…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-06-05 Lauritz Thamsen , Yehia Elkhatib , Paul Harvey , Syed Waqar Nabi , Jeremy Singer , Wim Vanderbauwhede

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…

Systems and Control · Electrical Eng. & Systems 2022-03-03 Julia Lindberg , Bernard C. Lesieutre , Line A. Roald

Green computing represents a critical pathway to decarbonize the digital economy while maintaining technological progress. This article examines how sustainable IT strategies including energy-efficient hardware, AI-optimized data centres,…

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…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-02-10 Justin Gould

Traditionally, the development of computing systems has been focused on performance improvements driven by the demand of applications from consumer, scientific and business domains. However, the ever increasing energy consumption of…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-09-07 Anton Beloglazov , Rajkumar Buyya , Young Choon Lee , Albert Zomaya

The significant carbon footprint of the ICT sector calls for methodologies to contain carbon emissions of running software. This article proposes a novel framework for implementing, configuring and assessing carbon-aware interactive…

Software Engineering · Computer Science 2024-05-22 Stefano Forti , Jacopo Soldani , Antonio Brogi

The use of High Performance Computing (HPC) in commercial and consumer IT applications is becoming popular. They need the ability to gain rapid and scalable access to high-end computing capabilities. Cloud computing promises to deliver such…

Distributed, Parallel, and Cluster Computing · Computer Science 2009-09-08 Saurabh Kumar Garg , Chee Shin Yeo , Arun Anandasivam , Rajkumar Buyya

Carbon-aware schedulers aim to reduce the operational carbon footprint of data centers by running flexible workloads during periods of low carbon intensity. Most schedulers treat workloads as single monolithic tasks, ignoring that many…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-12-09 Roozbeh Bostandoost , Adam Lechowicz , Walid A. Hanafy , Prashant Shenoy , Mohammad Hajiesmaili

Data centers handle impressive high figures in terms of energy consumption, and the growing popularity of Cloud applications is intensifying their computational demand. Moreover, the cooling needed to keep the servers within reliable…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-12-19 Patricia Arroba , José L. Risco-Martín , José M. Moya , José L. Ayala

Barroso's seminal contributions in energy-proportional warehouse-scale computing launched an era where modern datacenters have become more energy efficient and cost effective than ever before. At the same time, modern AI applications have…

Machine Learning · Computer Science 2024-06-25 Carole-Jean Wu , Bilge Acun , Ramya Raghavendra , Kim Hazelwood

Cloud providers, like Amazon, offer their data centers' computational and storage capacities for lease to paying customers. High electricity consumption, associated with running a data center, not only reflects on its carbon footprint, but…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-02-16 Michele Mazzucco , Dmytro Dyachuk , Ralph Deters

The ICT sector, responsible for 2% of global carbon emissions, is under scrutiny calling for methodologies and tools to design and develop software in an environmentally sustainable-by-design manner. However, the software engineering…

Software Engineering · Computer Science 2025-04-10 Ornela Danushi , Stefano Forti , Jacopo Soldani