Virtual machine power metering and provisioning

By Aman Kansal, Feng Zhao, Jie Liu, Nupur Kothari, A. Bhattacharya. ACM Symposium on Cloud Computing, 2010

628 citations recorded by the source corpus.

How researchers see this paper

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Where is the energy spent inside my app?: fine grained energy accounting on smartphones with Eprof (2012, methodology): “Traditionally RAM power is modeled using LLC (Last Level Cache) Misses [15, 16], periodically polled from hardware (CPU registers).”
Data Center Energy Consumption Modeling: A Survey (2016, methodology): “developed power models to infer power consumption from resource usage at runtime and identified the challenges which arise when using such models for VM power metering [88].”
Estimating mobile application energy consumption using program analysis (2013, background): “estimate the energy consumption of Java on different virtual machines ( [8], [30], [25], [11]).”
Resource Management in Clouds: Survey and Research Challenges (2015, methodology): “[123] describe the Joulemeter system which facilitates power metering of VMs, which can be used by a Cloud Provider as an input into resource management processes that seek to minimize data center energy usage.”