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The challenging deployment of compute-intensive applications from domains such as Artificial Intelligence (AI) and Digital Signal Processing (DSP), forces the community of computing systems to explore new design approaches. Approximate…

Today's distributed and pervasive computing addresses large-scale cyber-physical ecosystems, characterised by dense and large networks of devices capable of computation, communication and interaction with the environment and people. While…

The increasing environmental impact of the telecom industry has heightened the need for sustainable telecommunications networks. With skyrocketing data traffic and 5G gaining a foothold, telecom operators are under pressure to sustain…

Networking and Internet Architecture · Computer Science 2026-05-25 Praveen Hegde , Robin Joseph Varughese

Biodiversity loss is a critical planetary boundary, yet its connection to computing remains largely unexamined. Prior sustainability efforts in computing have focused on carbon and water, overlooking biodiversity due to the lack of…

Computers and Society · Computer Science 2025-07-01 Tianyao Shi , Ritbik Kumar , Inez Hua , Yi Ding

The rapid advancement of Artificial Intelligence (AI) has created unprecedented demands for computational power, yet methods for evaluating the performance, efficiency, and environmental impact of deployed models remain fragmented. Current…

Performance · Computer Science 2025-10-22 Hongyuan Liu , Xinyang Liu , Guosheng Hu

Progress in many domains increasingly benefits from our ability to view the systems through a computational lens, i.e., using computational abstractions of the domains; and our ability to acquire, share, integrate, and analyze disparate…

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

Our modern society and competitive economy depend on a strong digital foundation and, in turn, on sustained research and innovation in computer systems and networks (CompSys). With this manifesto, we draw attention to CompSys as a vital…

The cloud computing technology uses datacenters, which require energy. Recent trends show that the required energy for these datacenters will rise over time, or at least remain constant. Hence, the scientific community developed different…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-09-04 Benedikt Pittl , Werner Mach , Erich Schikuta

The surge for computing resource demand is increasing global electricity consumption in data centers which is expected to exceed 1000 TWh by 2026, mainly attributable to adoption of new AI technologies. Carbon-aware computing strategies can…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-14 Marvin Steinke

Computation, if treated as a set of physical processes that act on information represented by states of matter, encompasses biological systems, digital systems, and other constructs, and may be a fundamental measure of living systems. The…

Earth and Planetary Astrophysics · Physics 2024-07-09 Caleb Scharf , Olaf Witkowski

In recent years, larger and deeper models are springing up and continuously pushing state-of-the-art (SOTA) results across various fields like natural language processing (NLP) and computer vision (CV). However, despite promising results,…

Machine Learning · Computer Science 2021-11-11 Jingjing Xu , Wangchunshu Zhou , Zhiyi Fu , Hao Zhou , Lei Li

Companies with datacenters are procuring significant amounts of renewable energy to reduce their carbon footprint. There is increasing interest in achieving 24/7 Carbon-Free Energy (CFE) matching in electricity usage, aiming to eliminate…

Physics and Society · Physics 2025-01-16 Iegor Riepin , Tom Brown , Victor Zavala

The global energy landscape is undergoing a profound transformation, often referred to as the energy transition, driven by the urgent need to mitigate climate change, reduce greenhouse gas emissions, and ensure sustainable energy supplies.…

Machine Learning · Computer Science 2025-05-08 Stavros Sykiotis

The ICT (Information Communication Technologies) ecosystem is estimated to be responsible, as of today, for 10% of the total worldwide energy demand - equivalent to the combined energy production of Germany and Japan. Cloud storage, mainly…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-06-27 Lorenzo Posani , Alessio Paccoia , Marco Moschettini

The sector of information and communication technology (ICT) can contribute to the fulfillment of the Paris agreement and the sustainable development goals (SDGs) through the introduction of sustainability strategies. For environmental…

Information Theory · Computer Science 2024-10-16 Stefan Roth , Aydin Sezgin

A primary motivation for our research in digital ecosystems is the desire to exploit the self-organising properties of biological ecosystems. Ecosystems are thought to be robust, scalable architectures that can automatically solve complex,…

Neural and Evolutionary Computing · Computer Science 2009-10-06 G. Briscoe , P. De Wilde

As datacenters continue to grow in scale, their energy consumption and resulting carbon footprint have become pressing concerns. With the increasing share of renewable energy in a datacenter's mixed energy supply, shifting task execution to…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-28 Dominik Schweisgut , Anne Benoit , Yves Robert , Henning Meyerhenke

AI and renewable energy are increasingly framed as a "power couple" -- the idea that surging AI electricity demand will accelerate clean-energy investment -- yet concerns persist that AI will instead entrench fossil-fuel carbon lock-in. We…

Computers and Society · Computer Science 2026-03-31 Luyi Gui , Tinglong Dai

Providing an appropriate level of accessibility and traceability to data or process elements (so-called Items) in large volumes of data, often Cloud-resident, is an essential requirement in the Big Data era. Enterprise-wide data systems…

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