The case for power management in web servers

By P. Bohrer, E. Elnozahy, T. Keller, M. Kistler, Charles R. Lefurgy, C. McDowell, Ramakrishnan Rajamony. 2002

390 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/800e2def035273251ef8baf748908ee1763c7026

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 Hardware and Architecture

In Information Systems

Citations in the corpus

Energy conservation in heterogeneous server clusters (2005, background): “A few recent papers [8, 10, 15, 23, 24] deal with energy conservation for server clusters.”
Server-Level Power Control (2007, background): “However, the greatest immediate concerns about high-density servers are their power and cooling requirements, imposed by limited space inside the server chassis.”
GreenCloud: a new architecture for green data center (2009, background): “Many efforts have been made to improve the energy efficiency of IDC [9-18], including network power management [26], Chip-Multiprocessing (CMP) energy efficiency [10], IDC power capping [16], storage power management solutions [11] etc.”
Energy-Efficient Server Clusters (2002, background): “System Power = P (f )= c0 + c1f 3 ( 1 ) where c0 is a constant that includes the power consumption of all components except the CPU, plus the base power consumption of the CPU.”
No "power" struggles: coordinated multi-level power management for the data center (2008, methodology): “Second, using our unified architecture as the base, we perform a detailed quantitative sensitivity analysis and draw conclusions about the impact of different architectures, implementations, workloads, and system design choices.”
Power and energy management for server systems (2004, background): “Other efforts [ 3 , 13, 14] t ackled the high amounts of energy consumed by server CPUs.”
PowerNap: eliminating server idle power (2009, background): “For interactive services, peak utilization often exceeds average utilization by more than a factor of three [3].”
Data Center Energy Consumption Modeling: A Survey (2016, background): “CPU power consumption generally dominates the server power models [97].”
Tradeoffs between power management and tail latency in warehouse-scale applications (2014, background): “Power efficiency of datacenters, and WSCs in particular, has been the target of a significant body of research [2], [5], [10], [26].”
Managing energy and server resources in hosting centers (2001, background): “Energy-conscious switching was recently proposed independently [12, 33] and appears to be new in the literature.”
Power provisioning for a warehouse-sized computer (2007, methodology): “An even coarser modeling scheme is presented by Bohrer et al [4], in their study of energy management techniques.”
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].”