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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

Software systems are increasingly making decisions on behalf of humans, raising concerns about the fairness of such decisions. Such concerns are usually attributed to flaws in algorithmic design or biased data, but we argue that they are…

Software Engineering · Computer Science 2021-04-09 Ali Farahani , Liliana Pasquale , Amel Bennaceur , Thomas Welsh , Bashar Nuseibeh

The amount of energy consumed during the execution of software, and the ability to predict future consumption, is an important factor in the design of embedded electronic systems. In this technical report I examine factors in the execution…

Software Engineering · Computer Science 2014-11-11 Jeremy Morse

Energy efficiency has become a growing concern in software development, leading to the need for tools designed to measure energy consumption. While several energy measurement tools are available as open-source projects, their…

Software Engineering · Computer Science 2026-03-24 Manuela Bechara Cannizza , Michel Albonico

Progressing digitalization and increasing demand and use of software cause rises in energy- and resource consumption from information and communication technologies (ICT). This raises the issue of sustainability in ICT, which increasingly…

When considering different hardware platforms, not just the time-to-solution can be of importance but also the energy necessary to reach it. This is not only the case with battery powered and mobile devices but also with high-performance…

Performance · Computer Science 2020-06-30 Philip Heinisch , Katharina Ostaszewski , Hendrik Ranocha

Edge intelligence requires to fast access distributed data samples generated by edge devices. The challenge is using limited radio resource to acquire massive data samples for training machine learning models at edge server. In this…

Information Theory · Computer Science 2021-01-15 Zhi Zeng , Yuan Liu , Weijun Tang , Fangjiong Chen

Software stack upgrades are a routine part of software maintenance and evolution, typically motivated by improved performance, stability, or functionality. Yet their impact on energy consumption - a growing concern for organizations…

Software Engineering · Computer Science 2026-05-27 Mirko Stocker , Michael Wahler

The increasing electricity demands of personal computers, communication networks, and data centers contribute to higher atmospheric greenhouse gas emissions, which in turn lead to global warming and climate change. Therefore the energy…

Software Engineering · Computer Science 2025-06-24 Tom Cappendijk , Pepijn de Reus , Ana Oprescu

Motivated by applications such as on-device collaborative neural network inference, this work investigates edge-facilitated collaborative fog computing - in which edge-devices collaborate with each other and with the edge of the network to…

Signal Processing · Electrical Eng. & Systems 2020-10-22 Antoine Paris , Hamed Mirghasemi , Ivan Stupia , Luc Vandendorpe

Recent technological advances have greatly improved the performance and features of embedded systems. With the number of just mobile devices now reaching nearly equal to the population of earth, embedded systems have truly become…

Hardware Architecture · Computer Science 2014-01-07 Sparsh Mittal

Nowadays, many individuals and teams involved on projects are already using agile development techniques as part of their daily work. However, we have much less experience in how to scale and manage agile practices in distributed software…

Software Engineering · Computer Science 2017-11-06 Mohammad Abdur Razzak

Background: Machine learning (ML) model composition is a popular technique to mitigate shortcomings of a single ML model and to design more effective ML-enabled systems. While ensemble learning, i.e., forwarding the same request to several…

Machine Learning · Computer Science 2024-07-04 Rafiullah Omar , Justus Bogner , Henry Muccini , Patricia Lago , Silverio Martínez-Fernández , Xavier Franch

As sustainability takes center stage across businesses, green and energy-efficient choices are more crucial than ever. While it is becoming increasingly evident that software and the software industry are substantial and rapidly evolving…

Software Engineering · Computer Science 2022-04-28 Rohit Mehra , Vibhu Saujanya Sharma , Vikrant Kaulgud , Sanjay Podder , Adam P. Burden

Research software -- specialist software used to support or undertake research -- is of huge importance to researchers. It contributes to significant advances in the wider world and requires collaboration between people with diverse skills…

Software Engineering · Computer Science 2021-06-22 Neil P. Chue Hong , Jeremy Cohen , Caroline Jay

Heterogeneous many-cores are now an integral part of modern computing systems ranging from embedding systems to supercomputers. While heterogeneous many-core design offers the potential for energy-efficient high-performance, such potential…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-05-11 Jianbin Fang , Chun Huang , Tao Tang , Zheng Wang

The growing capacity of integration allows to instantiate hundreds of soft-core processors in a single FPGA to create a reconfigurable multiprocessing system. Lately, FPGAs have been proven to give a higher energy efficiency than…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-05-03 David Castells-Rufas , Albert Saa-Garriga , Jordi Carrabina

Software has the potential to be a key driver in fostering sustainability. Despite this potential, it is not clear if and how the software industry integrates consideration of sustainability into its common software development processes.…

Software Engineering · Computer Science 2024-07-25 Shola Oyedeji , Ruzanna Chitchyan , Mikhail Ola Adisa , Hatef Shamshiri

As automatic optimization techniques find their way into industrial applications, the behavior of many complex systems is determined by some form of planner picking the right actions to optimize a given objective function. In many cases,…

Neural and Evolutionary Computing · Computer Science 2018-10-31 Thomas Gabor , Lenz Belzner , Thomy Phan , Kyrill Schmid

Energy management, and in particular its optimization, is one of the hot trends in the current days, both at the enterprise level (optimization of whole corporate/government buildings) and single citizens' homes. The current trend is to…