Optimal power allocation in server farms

By Anshul Gandhi, Mor Harchol-Balter, Rajarshi Das, Charles R. Lefurgy. Measurement and Modeling of Computer Systems, 2009

540 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/ad3705596de246d50745db402cbd046cc482b8d7

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Citations in the corpus

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.”
Mistral: Dynamically Managing Power, Performance, and Adaptation Cost in Cloud Infrastructures (2010, methodology): “use queuing models to find the optimal power allocation among servers so as to minimize mean response time under a given power budget in [19], while Kephart et al.”
Performance Modeling and Design of Computer Systems: Queueing Theory in Action (2013, methodology): “5 Proportional Power – based on [69] In the world of power distribution, one reasonable approximation is that the power that is allocated to a machine is proportional to the speed at which that machine can run.”
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.”
Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers (2012, background): “[18] have investigated the problem of allocating an available power budget among servers in a virtualized heterogeneous server farm, while minimizing the mean response time.”
Environment-conscious scheduling of HPC applications on distributed Cloud-oriented data centers (2011, background): “Various parameters of CPUs at the data center can be derived experimentally [29].”
Greening geographical load balancing (2011, unknown): “, [4, 11, 16, 38].”
Data Center Energy Consumption Modeling: A Survey (2016, background): “developed a queuing model for a server farm with k-servers (see Figure 19) [211][214].”
Dynamic Right-Sizing for Power-Proportional Data Centers (2011, background): “, [31] and [32], or control theoretic approaches, e.”
Resource Management in Clouds: Survey and Research Challenges (2015, background): “Work on the data center right sizing problem has continued from both algorithm development and system implementations perspectives; good examples of recent efforts are [48, 73, 106, 142].”
Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing (2012, background): “Recent studies [11, 12, 15, 16] have shown that the application of DVFS on the CPU results in almost linear power-to-frequency relationship for a server.”