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Power and energy management for server systems
Open accessAbstract
This survey shows that heterogeneous server clusters can be made more efficient by conserving power and energy while exploiting information from the service level, such as request priorities established by service-level agreements.
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Citations
Cited by
pMapper: Power and Migration Cost Aware Application Placement in Virtualized Systems
Verma, A., Ahuja, P., & Neogi, A. (2008) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-89856-6_13 · Cited by 649
Energy management for commercial servers
Lefurgy, C., Rajamani, K., Rawson, F., Felter, W., Kistler, M., & Keller, T. W. (2003) · Computer · doi:10.1109/mc.2003.1250880 · Cited by 473
Energy conservation in heterogeneous server clusters
Heath, T., Diniz, B., Carrera, E. V., Meira, W., & Bianchini, R. (2005) · Proceedings of the tenth ACM SIGPLAN symposium on Principles and practice of parallel programming · doi:10.1145/1065944.1065969 · Cited by 329
Self-citationEnvironment-conscious scheduling of HPC applications on distributed Cloud-oriented data centers
Garg, S. K., Yeo, C. S., Anandasivam, A., & Buyya, R. (2011) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2010.04.004 · Cited by 300
A Survey on Virtual Machine Migration: Challenges, Techniques, and Open Issues
Zhang, F., Liu, G., Fu, X., & Yahyapour, R. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2794881 · Cited by 266
Metadata
- Authors
- Bianchini, R., & Rajamony, R.
- Venue
- Computer
- Published
- 2004-11
- Volume
- 37
- Issue
- 11
- Pages
- 68-76
- ISSN
- 0018-9162 (ISSN-L)
- OpenAlex
- W2010082999
- Cited by
- 453
- References
- 0
- FWCI
- 18.46
- Type
- journal article
- Language
- en
- Open access
- green
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- Bianchini, R., & Rajamony, R. (2004). Power and energy management for server systems. Computer. https://doi.org/10.1109/mc.2004.217
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
