Paper Info
Title
Power management for heterogeneous clusters: An experimental study
Abstract
Reducing energy consumption has a significant role in mitigating the total cost of ownership of computing clusters. Building heterogeneous clusters by combining high-end and low-end server nodes (e.g., Xeons and Atoms) is a recent trend towards achieving energy-efficient computing. This requires a cluster-level power manager that has the ability to predict future load, and server nodes that can quickly transition between active and low-power sleep states. In practice however, the load is unpredictable and often punctuated by spikes, necessitating a number of extra “idling” servers. We design a cluster-level power manager that (1) identifies the optimal cluster configuration based on the power profiles of servers and workload characteristics, and (2) maximizes work done per watt by assigning P-states and S-states to the cluster servers dynamically based on current request rate. We carry out an experimental study on a web server cluster composed of high-end Xeon servers and low-end Atom-based Netbooks and share our findings.
Year
DOI
Venue
2011
10.1109/IGCC.2011.6008549
Green Computing Conference and Workshops
Keywords
Field
DocType
power management,energy-efficient computing,power profile,cluster server,web server cluster,low-end server node,server node,experimental study,heterogeneous cluster,cluster-level power manager,optimal cluster configuration,high-end xeon server,data center,throughput,web service,atoms,atomic clocks,power optimization,web servers,operating system,energy efficient,file servers,quality of service
Power management,File server,Server farm,Computer science,Server,Total cost of ownership,Computer network,Xeon,Energy consumption,Operating system,Web server
Conference
ISBN
Citations 
PageRank 
978-1-4577-1222-7
4
0.44
References 
Authors
10
5
Name
Order
Citations
PageRank
M. Mustafa Rafique115715.49
Nishkam Ravi277359.04
Srihari Cadambi352737.06
Ali R. Butt465147.51
Srimat T. Chakradhar52492185.94