No "power" struggles: coordinated multi-level power management for the data center

By Ramya Raghavendra, Parthasarathy Ranganathan, Vanish Talwar, Zhikui Wang, Xiaoyun Zhu. International Conference on Architectural Support for Programming Languages and Operating Systems, 2008

738 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Hardware and Architecture, Information Systems

View Paper: https://www.semanticscholar.org/paper/5175688633b7c22fdd0b1bec4f042c30d1650a15

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Citations in the corpus

Green server design: beyond operational energy to sustainability (2010, background): “External Posting Date: September 21, 2010 [Fulltext] Approved for External Publication Internal Posting Date: September 21, 2010 [Fulltext] To be published in the 2010 Workshop on Power Aware Computing and Systems (HotPower).”
Minimizing Electricity Cost: Optimization of Distributed Internet Data Centers in a Multi-Electricity-Market Environment (2010, background): “A recent study estimates that the worldwide spending on enterprise and data center power and cooling to top $30 billion in year 2008 and is likely to even surpass spending on new server hardware [23].”
Multi-Objective Virtual Machine Placement in Virtualized Data Center Environments (2010, background): “Some work [3][7][27][32] also considers using dynamic voltage/frequency scaling (DVFS) to further improve energy efficiency.”
A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems (2016, methodology): “The technique suits only enterprise environments and requires the knowledge of application priorities [69].”
Data Center Energy Consumption Modeling: A Survey (2016, background): “constructed power/performance models for data centers based on CPU utilization [317].”
TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings (2023, background): “Computer architects improved PUE by helping advance the state-of-the-art of warehouse scale computers (WSCs) [2, 3, 16, 30, 44, 62].”
Tradeoffs between power management and tail latency in warehouse-scale applications (2014, background): “[25], which uses a multi-layer coordinated control-theoretic framework that bounds the distribution of request latency.”
Energy-Efficient Management of Data Center Resources for Cloud Computing: A Vision, Architectural Elements, and Open Challenges (2010, background): “Recent studies [28], [29], [30], [31] show that application of DVFS on CPU results in almost linear power-to-frequency relationship.”
Q-clouds: managing performance interference effects for QoS-aware clouds (2010, neutral): “have also been investigated [28].”
Shares and utilities based power consolidation in virtualized server environments (2009, background): “[2], [18], [ 19 ] describe architectures using collaborative managers and arbitrators to handle multiple objectives like power and performance during VM placement.”
Renewable and cooling aware workload management for sustainable data centers (2012, background): “, [1, 2, 3, 4, 5, 6, 7, 8]; however, the integration of these silos is an important next step.”