The CERCIRAS initiative has compiled a collection of 10 case studies that explore critical challenges and innovative solutions in energy efficiency, resource optimization, and sustainable computing. Of these, 6 case studies are publicly available, while 4 are non-public due to confidentiality or data restrictions. These cases represent diverse research efforts across academia and industry, aiming to address real-world computational challenges.
Publicly available cases focus on topics such as energy consumption in cloud workloads, IoT programming paradigms, website frameworks, and mental stigma data collection. They emphasize practical applications, reproducibility, and accessibility, often with open data to encourage collaboration and knowledge sharing.
Non-public cases delve into areas such as hybrid computing, energy-efficient AI model training, and advanced energy measurement methodologies. These cases frequently involve close collaborations with industry and address domain-specific applications like industrial IoT, heterogeneous architectures, and sustainable software practices.
This collection highlights the breadth and depth of research within the CERCIRAS initiative, fostering innovation and sustainability in computing systems. For detailed information and collaboration opportunities, explore the publicly available cases or reach out to the contributors listed in the report.
The following case studies are part of the CERCIRAS initiative, offering global insights into challenges and innovations in energy efficiency, data reliability, and resource optimization. Publicly available case studies include detailed information about contributors and emails (where approved), while an anonymized summary highlights key trends in non-public cases.