The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Software strategies for portable computer energy management
Abstract
Limiting the energy consumption of computers, especially portables, is becoming increasingly important. Thus, new energy-saving computer components and architectures have been and continue to be developed. Many architectural features have both high-performance and low-power modes, with the mode selection under software control. The problem is to minimize energy consumption while not significantly impacting the effective performance. We group the software control issues as follows: transition, load-change, and adaptation. The transition problem is deciding when to switch to low-power, reduced-functionality modes. The load-change problem is determining how to modify the load on a component so that it can make further use of its low-power modes. The adaptation problem is determining how to create software that allows components to be used in novel, power-saving ways. We survey implemented and proposed solutions to software energy management issues created by existing and suggested hardware innovations.
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Scheduling for Reduced CPU Energy
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A survey of design techniques for system-level dynamic power management
Benini, L., Bogliolo, A., & De Micheli, G. (2000) · IEEE Transactions on Very Large Scale Integration (VLSI) Systems · doi:10.1109/92.845896 · Cited by 1,241
A Survey of Energy Efficient Network Protocols for Wireless Networks
Jones, C. E., Sivalingam, K. M., Agrawal, P., & Chen, J. C. (2001) · Wireless Networks · doi:10.1023/a:1016627727877 · Cited by 837
System-level power optimization: techniques and tools
Benini, L., & Micheli, G. D. (2000) · ACM Transactions on Design Automation of Electronic Systems · doi:10.1145/335043.335044 · Cited by 405
Optimizing energy consumption for data centers
Rong, H., Zhang, H., Xiao, S., Li, C., & Hu, C. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.12.283 · Cited by 398
Metadata
- Authors
- Lorch, J. R., & Smith, A. J.
- Venue
- IEEE Personal Communications
- Published
- 1998-06
- Volume
- 5
- Issue
- 3
- Pages
- 60-73
- ISSN
- 1070-9916 (ISSN-L)
- OpenAlex
- W2079512381
- Cited by
- 273
- References
- 22
- FWCI
- 28.06
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
