The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Managing energy and server resources in hosting centers
Abstract
Internet hosting centers serve multiple service sites from a common hardware base. This paper presents the design and implementation of an architecture for resource management in a hosting center operating system, with an emphasis on energy as a driving resource management issue for large server clusters. The goals are to provision server resources for co-hosted services in a way that automatically adapts to offered load, improve the energy efficiency of server clusters by dynamically resizing the active server set, and respond to power supply disruptions or thermal events by degrading service in accordance with negotiated Service Level Agreements (SLAs).Our system is based on an economic approach to managing shared server resources, in which services "bid" for resources as a function of delivered performance. The system continuously monitors load and plans resource allotments by estimating the value of their effects on service performance. A greedy resource allocation algorithm adjusts resource prices to balance supply and demand, allocating resources to their most efficient use. A reconfigurable server switching infrastructure directs request traffic to the servers assigned to each service. Experimental results from a prototype confirm that the system adapts to offered load and resource availability, and can reduce server energy usage by 29% or more for a typical Web workload.
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Citations
Cites
Yield management at American airlines
Smith, B. C., Leimkuhler, J. F., & Darrow, R. M. (1992) · Interfaces · doi:10.1287/inte.22.1.8 · Cited by 697 · cited 1×
“Similar tradeoffs are made for seat reservations on American Airlines [37].”
Background
Cited by
Beloglazov, A., Abawajy, J., & Buyya, R. (2012) · Future Generation Computer Systems · doi:10.1016/j.future.2011.04.017 · Cited by 2,761
A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems
Beloglazov, A., Buyya, R., Lee, Y. C., & Zomaya, A. (2011) · Advances in Computers · doi:10.1016/b978-0-12-385512-1.00003-7 · Cited by 777
Energy Efficient Resource Management in Virtualized Cloud Data Centers
Beloglazov, A., & Buyya, R. (2010) · 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing · doi:10.1109/ccgrid.2010.46 · Cited by 760
FAWN: a fast array of wimpy nodes
Andersen, D. G., Franklin, J., Kaminsky, M., Phanishayee, A., Tan, L., & Vasudevan, V. (2009) · Proceedings of the ACM SIGOPS 22nd symposium on Operating systems principles · doi:10.1145/1629575.1629577 · Cited by 561
Ensemble-level Power Management for Dense Blade Servers
Ranganathan, P., Leech, P., Irwin, D., & Chase, J. (2006) · ACM SIGARCH Computer Architecture News · doi:10.1145/1150019.1136492 · Cited by 357
Self-citation
Metadata
- Authors
- Chase, J. S., Anderson, D. C., Thakar, P. N., Vahdat, A. M., & Doyle, R. P.
- Venue
- Proceedings of the eighteenth ACM symposium on Operating systems principles
- Publisher
- ACM
- Published
- 2001-10-21
- Pages
- 103-116
- OpenAlex
- W2064359039
- Cited by
- 1,284
- References
- 1
- FWCI
- 38.03
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Chase, J. S., Anderson, D. C., Thakar, P. N., Vahdat, A. M., & Doyle, R. P. (2001). Managing energy and server resources in hosting centers. Proceedings of the eighteenth ACM symposium on Operating systems principles. https://doi.org/10.1145/502034.502045
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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.