VirtualPower: coordinated power management in virtualized enterprise systems

By Ripal Nathuji, K. Schwan. Symposium on Operating Systems Principles, 2007

787 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/69e7ae7d28285e1e85056970b0aeded89d366480

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Citations in the corpus

A survey on techniques for improving the energy efficiency of large-scale distributed systems (2014, methodology): “The increasing demand for cloud-based services raises concern about the energy consumed by data centers [Nathuji and Schwan 2007; Stoess et al. 2007; Talaber et al. 2009].”
Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing (2012, methodology): “Nathuji and Schwan [10] have studied power management techniques in the context of virtualized data centers, which has not been done before.”
Dynamic Resource Allocation Using Virtual Machines for Cloud Computing Environment (2013, positive): “Work [22] uses dynamic voltage and frequency scaling (DVFS) to adjust CPU power according to its load.”
Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers (2012, methodology): “One of the ﬁrst works, in which power management has been applied in the context of virtualized data centers, has been performed by Nathuji and Schwan [12].”
GreenCloud: a new architecture for green data center (2009, background): “It shows great potential of using VM and VM migration technology to efficiently manage workload consolidation, and therefore improve the total IDC power efficiency [24].”
Mistral: Dynamically Managing Power, Performance, and Adaptation Cost in Cloud Infrastructures (2010, neutral): “The authors of [22] propose a technique that exploits the hypervisor’s ability to limit hardware usage of VMs and control power consumption of individual VMs in a finegrained manner.”
Adaptive threshold-based approach for energy-efficient consolidation of virtual machines in cloud data centers (2010, background): “Nathuji and Schwan [9] have proposed an architecture of an energy management system for virtualized data centers, where resource management is divided into local and global policies.”
No "power" struggles: coordinated multi-level power management for the data center (2008, neutral): “Categories and Subject Descriptors C.0 [Computer Systems Organization], D.4 [Operating Systems] General Terms Algorithms, Design, Management, Measurement, Performance.”
A Survey on Green-Energy-Aware Power Management for Datacenters (2014, background): “We group these green-energy-aware works into four categories, as (1) Green-energy-aware workload scheduling.”
Q-clouds: managing performance interference effects for QoS-aware clouds (2010, background): “The disassociation between virtual and physical resources allows the management layer to transparently adapt resource allocations [21, 25, 26].”
A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems (2016, methodology): “However, before shutting down a server, all the running services have to be consolidated and migrated to other nodes power and migration cost aware application placement algorithms in virtualized systems [15,63,64].”
Power and performance management of virtualized computing environments via lookahead control (2008, background): “For example, profits may be lost while waiting for a VM and its host to be turned on, which is usually three to four minutes.”
Minimizing Electricity Cost: Optimization of Distributed Internet Data Centers in a Multi-Electricity-Market Environment (2010, background): “The adoption of low power chipset with chip multiprocessing [13], virtualization technologies [24], [21], power control theories [34], and other energy saving solutions [23], [14] have also contributed positively toward more energy-efficient servers.”
Entropy: a consolidation manager for clusters (2009, background): “[12] present power efficient mechanisms to control and coordinate the effects of various power management policies.”
Green server design: beyond operational energy to sustainability (2010, background): “Multiple virtual machines (or tasks in a task scheduler) on separate servers can be consolidated onto a single server, raising its utilization and reducing the required server count (and total power) [25] [30].”