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Predictive Reliability and Fault Management in Exascale Systems: State of the Art and Perspectives., , , , , , , , , and 2 other author(s). ACM Comput. Surv., 53 (5): 95:1-95:32 (2021)DCworms - A tool for simulation of energy efficiency in distributed computing infrastructures., , , , , and . Simul. Model. Pract. Theory, (2013)An approach to reduce energy consumption and performance losses on heterogeneous servers using power capping., , , , , , and . J. Sched., 24 (5): 489-505 (2021)Energy aware ultrascale systems., , , , , , , , , and 9 other author(s). Ultrascale Computing Systems, IET, (2019)Intelligent thermal management in M2DC system., , , , and . e-Energy, page 309-315. ACM, (2017)DCworms - A Tool for Simulation of Energy Efficiency in Data Centers.. EE-LSDS, volume 8046 of Lecture Notes in Computer Science, page 118-124. Springer, (2013)Modeling Impact of Power- and Thermal-Aware Fans Management on Data Center Energy Consumption., , and . e-Energy, page 253-258. ACM, (2015)Minimization of Costs and Energy Consumption in a Data Center by a Workload-Based Capacity Management., , , , and . E2DC, volume 8945 of Lecture Notes in Computer Science, page 102-119. Springer, (2014)Minimising energy costs of data centers using high dense heterogeneous systems and intelligent resource management., , , and . e-Energy, page 499-505. ACM, (2018)Modeling Data Center Building Blocks for Energy-Efficiency and Thermal Simulations., , , , , and . E2DC, volume 8343 of Lecture Notes in Computer Science, page 66-82. Springer, (2013)