Power and energy management for server systems

By Ricardo Bianchini, Ramakrishnan Rajamony. Computer, 2004

504 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/642029f803ee3bd68303df50d663cea3f4473122

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

Shares and utilities based power consolidation in virtualized server environments (2009, background): “The research community has also noticed this trend and techniques have been proposed that tradeoff performance fo r power savings [2], [9], [10], [11].”
Energy conservation in heterogeneous server clusters (2005, background): “A survey of power and energy research for servers can be found in [7].”
pMapper: Power and Migration Cost Aware Application Placement in Virtualized Systems (2008, background): “Energy management in server clusters has been a popular area of research since the beginning of this decade [12, 1].”
RAPL: Memory power estimation and capping (2010, background): “Several studies have shown the importance of limiting memory power in enterprise server systems [15, 16 ].”
Environment-conscious scheduling of HPC applications on distributed Cloud-oriented data centers (2011, background): “However, Clouds are essentially data centers that require high energy 1 usage to maintain operation [5].”
Green server design: beyond operational energy to sustainability (2010, background): “3 PUE = 1+ infrastructure_power / operational_power categories of optimizations: (i) Energy proportionality (EP) [6] in the datacenter space has gained a lot of attention with several optimizations [15] [8] [29] [24] that seek to make the energy consumed by a system be proportional to the activity i”
An Energy Efficient Ant Colony System for Virtual Machine Placement in Cloud Computing (2018, background): “This leads to a VM placement (VMP) problem, a computational problem that seeks to obtain an optimal deployment of VMs onto physical servers [16], [17].”