

Reddi, Adaptive guardband scheduling to improve system-level efficiency of the POWER7, in Proceedings of the 48th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), (2015) Gizopoulos, Statistical analysis of multicore CPUs operation in scaled voltage conditions. Das, Harnessing voltage margins for energy efficiency in multicore CPUs, in Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture, New York, NY, USA, 2017 Teodorescu, Dynamic reduction of voltage margins by leveraging on-chip ECC in Itanium II processors, in Proceedings of the 40th Annual International Symposium on Computer Architecture, 2013 Teodorescu, Using ECC feedback to guide voltage speculation in low-voltage processors, in Proceedings of 47th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2014Ī. Khoshdel, Novel fuzzy multi objective DVFS-aware consolidation heuristics for energy and SLA efficient resource management in cloud data centers. Buyya, Dynamic voltage and frequency scaling-aware dynamic consolidation of virtual machines for energy efficient cloud data centers. Huang, Enhanced energy-efficient scheduling for parallel applications in cloud, in 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012), IEEE, 2012, pp. He, Power-aware scheduling of virtual machines in dvfs-enabled clusters, in 2009 IEEE International Conference on Cluster Computing and Workshop, IEEE, 2009, pp. Li, Minimizing SLA violation and power consumption in cloud data centers using adaptive energy-aware algorithms. Fu, Energy efficient resource selection and allocation strategy for virtual machine consolidation in cloud datacenters. Plosila, Energy-efficient virtual machines consolidation in cloud data centers using reinforcement learning, in 22nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, 2014 Dong, An energy-aware heuristic framework for virtual machine consolidation in cloud computing. Zeghlache, Energy efficient VM scheduling for cloud data centers: Exact allocation and migration algorithms, in 2013 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, 2013, pp. Zomaya, Energy efficient utilization of resources in cloud computing system. Buyya, Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers. Mudge, A self-tuning DVS processor using delay-error detection and correction. Fan, Data center energy consumption modeling: a survey. Koomey, Growth in data center electricity use 2005 to 2010 (The New York Times, 2011)
