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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

The environmental sustainability of Information Technology (IT) has emerged as a critical concern, driven by the need to reduce both energy consumption and greenhouse gas (GHG) emissions. In the context of cloud-native applications deployed…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-02-23 Andrea D'Iapico , Monica Vitali

Inter-datacenter communication is a significant part of cloud operations and produces a substantial amount of carbon emissions for cloud data centers, where the environmental impact has already been a pressing issue. In this paper, we…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-06-05 Elvis Rodrigues , Jacob Goldverg , Tevfik Kosar

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

The rapid development of cloud-native architecture has promoted the widespread application of container technology, but the optimization problems in container scheduling and resource management still face many challenges. This paper…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-12-24 Xiaoye Wang

Recent trends of technology have explored a numerous applications of cloud services, which require a significant amount of energy. In the present scenario, most of the energy sources are limited and have a greenhouse effect on the…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-12-15 Sohan Kumar Pande , Sanjaya Kumar Panda , Preeti Ranjan Sahu

Deep learning applications at the network edge lead to a significant growth in AI-related carbon emissions, presenting a critical sustainability challenge. The existing edge computing frameworks optimize for latency and throughput, but they…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-02 Guilin Zhang , Wulan Guo , Ziqi Tan , Chuanyi Sun , Hailong Jiang

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

This paper presents a distributed resource selection mechanism for diverse cloud-edge environments, enabling dynamic and context-aware allocation of resources to meet the demands of complex distributed applications. By distributing the…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-10 Quentin Renau , Amjad Ullah , Emma Hart

Smart shipping operations increasingly depend on collaborative AI, yet the underlying data are generated across vessels with uneven connectivity, limited backhaul, and clear commercial sensitivity. In such settings, server-coordinated FL…

Artificial Intelligence · Computer Science 2026-03-31 Alexandros S. Kalafatelis , Nikolaos Nomikos , Vasileios Nikolakakis , Nikolaos Tsoulakos , Panagiotis Trakadas

Serverless computing is an emerging Cloud service model. It is currently gaining momentum as the next step in the evolution of hosted computing from capacitated machine virtualisation and microservices towards utility computing. The term…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-01-11 Manuel Stein

This paper represents the first effort to quantify uncertainty in carbon intensity forecasting for datacenter decarbonization. We identify and analyze two types of uncertainty -- temporal and spatial -- and discuss their system…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-08-27 Amy Li , Sihang Liu , Yi Ding

Edge computing is an emerging technology which places computing at the edge of the network to provide an ultra-low latency. Computation offloading, a paradigm that migrates computing from mobile devices to remote servers, can now use the…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-02-13 Li Lin , Peng Li , Jinbo Xiong , Mingwei Lin

Recent breakthroughs in generative artificial intelligence have triggered a surge in demand for machine learning training, which poses significant cost burdens and environmental challenges due to its substantial energy consumption.…

Artificial Intelligence · Computer Science 2023-04-18 Siyue Zhang , Minrui Xu , Wei Yang Bryan Lim , Dusit Niyato

Cloud computing, thanks to the pervasiveness of information technologies, provides a foundational environment for developing IT applications, offering organizations virtually unlimited and flexible computing resources on a pay-per-use…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-04-15 Han Wang , Sukhpal Singh Gill , Steve Uhlig

This paper addresses the joint scheduling problem of stochastic workloads and a hydrogen-enabled distributed energy system in a low-carbon Internet data centers (IDC). Although such workloads can be shifted over temporal and spatial…

Systems and Control · Electrical Eng. & Systems 2025-12-05 Maoyuan Ma , Wangyi Guo , Lei Yang , Zhanbo Xu , Xiaohong Guan

This work introduces ECOLIFE, the first carbon-aware serverless function scheduler to co-optimize carbon footprint and performance. ECOLIFE builds on the key insight of intelligently exploiting multi-generation hardware to achieve high…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-10-18 Yankai Jiang , Rohan Basu Roy , Baolin Li , Devesh Tiwari

Cloud Computing is a new trend emerging in IT environment with huge requirements of infrastructure and resources. Load Balancing is an important aspect of cloud computing environment. Efficient load balancing scheme ensures efficient…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-03-28 Mayanka Katyal , Atul Mishra

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…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-10-16 Drazen Lucanin , Michael Maurer , Toni Mastelic , Ivona Brandic

Modern power systems integrate renewable distributed energy resources (DERs) as an environment-friendly enhancement to meet the ever-increasing demands. However, the inherent unreliability of renewable energy renders developing DER…

Systems and Control · Electrical Eng. & Systems 2024-05-30 Xiaotong Cheng , Ioannis Tsetis , Setareh Maghsudi
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