English
Related papers

Related papers: CarbonScaler: Leveraging Cloud Workload Elasticity…

200 papers

The energy consumption of computer and communication systems does not scale linearly with the workload. A system uses a significant amount of energy even when idle or lightly loaded. A widely reported solution to resource management in…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-01-13 Ashkan Paya , Dan C. Marinescu

As large-scale data processing workloads continue to grow, their carbon footprint raises concerns. Prior research on carbon-aware schedulers has focused on shifting computation to align with availability of low-carbon energy, but these…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-02-17 Adam Lechowicz , Rohan Shenoy , Noman Bashir , Mohammad Hajiesmaili , Adam Wierman , Christina Delimitrou

Energy consumption of Cloud data centers has been a major concern of many researchers, and one of the reasons for huge energy consumption of Clouds lies in the inefficient utilization of computing resources. Besides energy consumption,…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-03-26 Minxian Xu , Adel Nadjaran Toosi , Rajkumar Buyya

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 Cloud Computing paradigm consists in providing customers with virtual services of the quality which meets customers' requirements. A cloud service operator is interested in using his infrastructure in the most efficient way while…

Data Structures and Algorithms · Computer Science 2014-03-04 Thomas Carli , Stéphane Henriot , Johanne Cohen , Joanna Tomasik

Cloud native solutions are widely applied in various fields, placing higher demands on the efficient management and utilization of resource platforms. To achieve the efficiency, load forecasting and elastic scaling have become crucial…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-05-22 Linfeng Wen , Minxian Xu , Adel N. Toosi , Kejiang Ye

Organizations are increasingly offloading their workloads to cloud platforms. For workloads with relaxed deadlines, this presents an opportunity to reduce the total carbon footprint of these computations by moving workloads to datacenters…

Networking and Internet Architecture · Computer Science 2025-04-22 Yibo Guo , Amanda Tomlinson , Runlong Su , George Porter

Computing is at a moment of profound opportunity. Emerging applications -- such as capable artificial intelligence, immersive virtual realities, and pervasive sensor systems -- drive unprecedented demand for computer. Despite recent…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-08-22 Benjamin C. Lee , David Brooks , Arthur van Benthem , Udit Gupta , Gage Hills , Vincent Liu , Benjamin Pierce , Christopher Stewart , Emma Strubell , Gu-Yeon Wei , Adam Wierman , Yuan Yao , Minlan Yu

Serverless computing is an emerging cloud computing paradigm that can reduce costs for cloud providers and their customers. However, serverless cloud platforms have stringent performance requirements (due to the need to execute short…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-09-04 S. Qi , H. Moore , N. Hogade , D. Milojicic , C. Bash , S. Pasricha

Cloud Computing paradigm has revolutionized IT industry and be able to offer computing as the fifth utility. With the pay-as-you-go model, cloud computing enables to offer the resources dynamically for customers anytime. Drawing the…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-02-13 Qiheng Zhou , Minxian Xu , Sukhpal Singh Gill , Chengxi Gao , Wenhong Tian , Chengzhong Xu , Rajkumar Buyya

The growing electricity demand of cloud and edge computing increases operational costs and will soon have a considerable impact on the environment. A possible countermeasure is equipping IT infrastructure directly with on-site renewable…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-08-30 Philipp Wiesner , Dominik Scheinert , Thorsten Wittkopp , Lauritz Thamsen , Odej Kao

Recent improvements in energy efficiency and renewable energy integration have increased the relative importance of embodied carbon in data centers, motivating improved provisioning strategies. Conventional approaches primarily minimize…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-27 Shixin Ji , Zhuoping Yang , Xingzhen Chen , Alex K. Jones , Peipei Zhou

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

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

An increasing number of electric loads, such as hydrogen producers or data centers, can be characterized as carbon-sensitive, meaning that they are willing to adapt the timing and/or location of their electricity usage in order to minimize…

Systems and Control · Electrical Eng. & Systems 2025-12-16 Wenqian Jiang , Olivier Huber , Michael C. Ferris , Line Roald

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…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-06-03 Rajkumar Buyya , Anton Beloglazov , Jemal Abawajy

The increasing integration of renewable energy sources results in fluctuations in carbon intensity throughout the day. To mitigate their carbon footprint, datacenters can implement demand response (DR) by adjusting their load based on grid…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-16 Jiali Xing , Bilge Acun , Aditya Sundarrajan , David Brooks , Manoj Chakkaravarthy , Nikky Avila , Carole-Jean Wu , Benjamin C. Lee

This paper presents a theoretical discussion for environmentally-conscious job deployment and migration in cloud environments, aiming to minimize the environmental impact of resource provisioning while incorporating sustainability…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-07-17 Giulio Attenni , Novella Bartolini

Major innovations in computing have been driven by scaling up computing infrastructure, while aggressively optimizing operating costs. The result is a network of worldwide datacenters that consume a large amount of energy, mostly in an…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-06-30 Walid A. Hanafy , Roozbeh Bostandoost , Noman Bashir , David Irwin , Mohammad Hajiesmaili , Prashant Shenoy

Technology companies have been leading the way to a renewable energy transformation, by investing in renewable energy sources to reduce the carbon footprint of their datacenters. In addition to helping build new solar and wind farms,…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-02-23 Bilge Acun , Benjamin Lee , Fiodar Kazhamiaka , Kiwan Maeng , Manoj Chakkaravarthy , Udit Gupta , David Brooks , Carole-Jean Wu