Shares and utilities based power consolidation in virtualized server environments

By Michael Cardosa, Madhukar R. Korupolu, Aameek Singh. 2009 IFIP/IEEE International Symposium on Integrated Network Management, 2009

319 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/2a4a6255e8218e29bad093cc58a39fec19d92dd0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

In Information Systems

Citations in the corpus

Mistral: Dynamically Managing Power, Performance, and Adaptation Cost in Cloud Infrastructures (2010, methodology): “Recently, a number of power management systems have been proposed based on virtualization techniques, including [23], [24], [5], [25], [6], that share some adaptation methods with our approach.”
Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing (2012, background): “[14] have proposed an approach for the problem of power-efficient allocation of VMs in virtualized heterogeneous computing environments.”
Performance and energy modeling for live migration of virtual machines (2011, background): “Previous studies demonstrated the effectiveness of this policy to achieve significant power saving [4, 20].”
Energy Efficient Resource Management in Virtualized Cloud Data Centers (2010, unknown): “[6] have explored the problem of powerefficient allocation of VMs in virtualized heterogeneous computing environments.”
Efficient Autoscaling in the Cloud Using Predictive Models for Workload Forecasting (2011, methodology): “Although the utilization model given in [10] maps resource utilization to application utility, ﬁnding such a mapping is difﬁcult [11].”
Optimization of Resource Provisioning Cost in Cloud Computing (2012, background): “In general, pricing in on-demand plan is charged by pay-per-use basis (e.g., 1 day).”
Resource Management in Clouds: Survey and Research Challenges (2015, methodology): “[39] highlight that, at the time of writing, most work on power consolidation did not take into account the ability, as described above, for hypervisors to dynamically allocate resources; using a testbed comprised of VMWare ESX servers they show how a utility improvement of up to 47 % can be achieve”
A multi-objective ant colony system algorithm for virtual machine placement in cloud computing (2013, background): “Several research works [4,5] addressed the importance of placing VMs appropriately.”