Monitoring in the Clouds: Comparison of ECO2Clouds and EXCESS Monitoring Approaches.. HiPEAC, 2016. [PUMA: myown monitoring Energy-Efficiency Cloud HPC]
EXCESS: Execution Models for Energy-Efficient Computing Systems. PODC, (Energy Efficient Distributed and Parallel Computing)2015. [PUMA: EXCESS myown Analysis Monitoring Performance Energy-Efficiency Parallel Computing]
Eco-efficient Cloud Resource Monitoring and Analysis. ICT4S, 2014. [PUMA: myown Monitoring Energy-Efficiency Clouds Eco2Clouds]
ATOM: A Near-Real Time Monitoring Framework for HPC and Embedded Systems. PODC, (Energy Efficient Distributed and Parallel Computing)2015. [PUMA: EXCESS myown Analysis Real-time Monitoring Performance Energy-Efficiency]
Energy-efficient and Error-resilient Iterative Solvers for Approximate Computing. Proceedings of the 23rd IEEE International Symposium on On-Line Testing and Robust System Design (IOLTS'17), 237--239, 2017. [PUMA: approximate myown monitoring computing SimTech fault AxC energy-efficiency quality tolerance]