Publicly Available Case Studies

Large-Scale Cloud Workloads Using GPU Resources
Resources in Focus:
  • Time
  • Energy
  • Reliability
  • Security
Aim: This case investigates reliability-aware resource scheduling techniques in cloud environments, focusing on GPU resource optimization for improved system reliability and security. Data Status: No preliminary data available. Next Steps: Develop methodologies for resource scheduling tailored to GPU workloads, potentially integrating predictive optimization models. Contributor: Işıl Öz, Izmir Institute of Technology (Academia) Email: isiloz@iyte.edu.tr
Comparison of Traditional and Tierless IoT Programming
Resources in Focus:
  • Space
  • Energy
  • Data
  • Effort
Aim: This case explores the reliability and maintainability of traditional versus tierless IoT programming paradigms, aiming to identify the most effective approach for resource-constrained IoT systems. Data Status: Mature data available, showing significant progress. Next Steps: Expand the study with real-world IoT deployment scenarios, focusing on long-term maintainability and energy consumption. Contributor: Pieter Koopman, Radboud University (Academia) Email: pieter@cs.ru.nl
Investigating Mental Stigma Through Public Surveys
Resources in Focus:
  • Space
  • Data
  • FAIR principles (Findable, Accessible, Interoperable, Reusable)
Aim: This case examines public perceptions of mental stigma using ethically approved surveys, ensuring data alignment with FAIR principles for reusability and accessibility. Data Status: Preliminary data available in CSV format from public surveys. Next Steps: Perform statistical analyses focusing on functional and non-functional requirements for mental health interventions, with potential applications in digital mental health tools. Contributor: Dr. Horacio Gonzalez-Velez, National College of Ireland (Academia) Email: horacio@ncirl.ie
Performance-Energy Trade-Off Exploration for Parallel Applications
Resources in Focus:
  • Time
  • Energy
  • Data
Aim: This case examines configurations for parallel applications that achieve optimal performance-energy trade-offs, with a particular focus on hybrid computing environments. Data Status: Mature data available, reflecting extensive experimental results. Next Steps: Explore additional hardware configurations, refine energy prediction models, and contribute findings to open-source energy analysis tools. Contributor: Pawel Czarnul, Gdańsk University of Technology (Academia) Email: pczarnul@eti.pg.edu.pl
Testing Techniques for Simulink Models
Resources in Focus:
  • Modeling and Testing Methodologies
Aim: This case explores and compares testing techniques for Simulink models, emphasizing reliability and integration into broader system testing frameworks. Data Status: No preliminary data available. Next Steps: Address gaps in Simulink testing practices and develop a standardized testing framework for broader adoption in academia and industry. Contributor: Aitor Arrieta, Mondragon University (Academia) Email: aarrieta@mondragon.edu
Energy Consumption of Websites
Resources in Focus:
  • Energy
  • Time
Aim: This case explores the energy consumption of WordPress plugins and aims to identify optimization opportunities for website frameworks. Data Status: Preliminary study data is publicly available at GitHub Repository. Next Steps: Develop a standardized testing framework to enable energy labeling and reporting of website energy consumption. Contributors: Maja H. Kirkeby, Roskilde University (Academia),
Kerstin I. Eder, University of Bristol (Academia)
Email: majaht@ruc.dk