Abstract
This paper presents an evaluation of ACPI energy saving modes, and deduces the design and implementation of an energy saving daemon for clusters called cherub. The design of the cherub daemon is modular and extensible. Since the only requirement is a central approach for resource management, cherub is suited for Server Load Balancing (SLB) clusters managed by dispatchers like Linux Virtual Server (LVS), as well as for High Performance Computing (HPC) clusters. Our experimental results show that cherub’s scheduling algorithm works well, i.e. it will save energy, if possible, and avoids state-flapping.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Cisco Systems Inc.: Cisco EnergyWise Technology. www.cisco.com/go/energywise. Accessed July 2011
Cluster Resources Inc.: Cluster resources products—TORQUE resource manager. http://www.adaptivecomputing.com/resources/docs/. Accessed July 2011
Cluster Resources Inc.: Cluster resources products—Moab Cluster Software Suite. http://www.clusterresources.com/products/moab-cluster-suite.php. Accessed July 2011
Dolz, M.F., Fernández, J.C., Mayo, R., Quintana-Ortí, E.S.: EnergySaving Cluster Roll: power saving system for clusters. In: Architecture of Computing Systems—ARCS 2010, pp. 162–173 (2010)
Ecos: 80 PLUS. http://www.80plus.org/ (2005). Accessed July 2011
FreeIPMI Core Team: GNU FreeIPMI. http://www.gnu.org/software/freeipmi/. Accessed July 2011
Ganglia Development Team: Homepage of Ganglia monitoring system. http://ganglia.sourceforge.net. Accessed July 2011
Hewlett-Packard Corporation, Intel Corporation, Microsoft Corporation, Phoenix Technologies Ltd., and Toshiba Corporation: Advanced configuration and power interface specification. http://www.acpi.info/spec.htm (April 2010). Accessed July 2011
Kerstens, A., DuChene, S.: Applying Green Computing to clusters and the data center. In: Proceedings of the Linux Symposium, Volume One, pp. 113–122 (2008)
Laurie, D.: IPMItool. http://ipmitool.sourceforge.net/. Accessed July 2011
Mersenne Research Inc.: Great Internet Mersenne Prime Search—GIMPS. http://www.mersenne.org (2010). Accessed July 2011
Pinheiro, E., Bianchini, R., Carrera, E.V., Heath, T.: Load balancing and unbalancing for power and performance in cluster-based systems. In: Proceedings of the Workshop on Compilers and Operating Systems for Low Power (COLP’01) (September 2001)
The Green500 Supercomputers: http://www.green500.org/lists.php (2010). Accessed July 2011
The Linpack Benchmark: http://www.top500.org/project/linpack (2010). Accessed July 2011
The Linux Virtual Server Project: Linux Server Cluster for Load Balancing. http://www.linuxvirtualserver.org. Accessed July 2011
U.S. Environmental Protection Agency: EPA report to congress on server and data center energy efficiency (2007). http://www.energystar.gov/ia/partners/prod_development/downloads/EPA_Datacenter_Report_Congress_Final1.pdf
Vasudevan, V., Andersen, D., Kaminsky, M., Tan, L., Franklin, J., Moraru, I.: Energy-efficient cluster computing with FAWN: workloads and implications. In: e-Energy ’10: Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking, pp. 195–204. ACM, New York (2010)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Kiertscher, S., Zinke, J. & Schnor, B. CHERUB: power consumption aware cluster resource management. Cluster Comput 16, 55–63 (2013). https://doi.org/10.1007/s10586-011-0176-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10586-011-0176-5