- 1.ACPI. http://www.teleport.com/-acpi.]]Google Scholar
- 2.L. Benini, A. Bogliolo, and G. D. Micheli. A Survey of Design Techniques for System-Level Dynamic Power Management. IEEE Transactions on VLSI Systems, March 2000.]] Google ScholarDigital Library
- 3.E.-Y. Chung, L. Benini, A. Bogliolo, and G. D. Micheli. Dynamic Power Management for Non-Stationary Service Requests. In Design Automation and Test in Europe, pages 77-81, 1999.]] Google ScholarDigital Library
- 4.E.-Y. Chung, L. Benini, and G. D. Micheli. Dynamic power management using adaptive learning tree. In International Conference on Computer-Aided Design, pages 274-279, 1999.]] Google ScholarDigital Library
- 5.E Douglis, R. C~ceres, E Kaashoek, K. Li, B. Marsh, and J. A. Tauber. Storage Alternatives for Mobile Computers. In USENIX Symposium on Operating Systems Design and Implementation, pages 25-37, 1994.]] Google ScholarDigital Library
- 6.E Douglis, P. Krishnan, and B. Bershad. Adaptive Disk Spin- Down Policies for Mobile Computers. In Computing Systems, volume 8, pages 381-413, 1995.]]Google Scholar
- 7.E Douglis, E Krishnan, and B. Marsh. Thwarting the Power- Hungry Disk. In USENIX Winter Conference, pages 293-306, 1994.]] Google ScholarDigital Library
- 8.R. Golding, P. Bosch, and J. Wilkes. Idleness is not Sloth. In USENIX Winter Conference, pages 201-212, 1995.]] Google ScholarDigital Library
- 9.C.-H. Hwang and A. C. Wu. A Predictive System Shutdown Method for Energy Saving of Event-Driven Computation. In International Conference on Computer-Aided Design, pages 28- 32, 1997.]] Google ScholarDigital Library
- 10.Intel. Mobile Power Guide '99.]]Google Scholar
- 11.A. Karlin, M. Manasse, L. McGeoch, and S. Owicki. Competitive Randomized Algorithms for Nonuniform Problems. Algorithmica, 11 (6):542-571, June 1994.]]Google ScholarDigital Library
- 12.J. R. Lorch and A. J. Smith. Software Strategies for Portable Computer Energy Management. IEEE Personal Communications, 5(3):60-73, June 1998.]]Google Scholar
- 13.Y.-H. Lu and G. D. Micheli. Adaptive Hard Disk Power Management on Personal Computers. In Great Lakes Symposium on VLSI, pages 50-53, 1999.]] Google ScholarDigital Library
- 14.Y.-H. Lu, T. Simuni6, and G. D. Micheli. Software Controlled Power Management. In International Workshop on Hardware~Software Codesign, pages 157-161, 1999.]] Google ScholarDigital Library
- 15.G.A. Paleologo, L. Benini, A. Bogliolo, and G. D. Micheli. Policy Optimization for Dynamic Power Management. In Design Automation Conference, pages 182-187, 1998.]] Google ScholarDigital Library
- 16.Q. Qiu and M. Pedram. Dynamic Power Management Based on Continuous-Time Markov Decision Processes. In Design Automation Conference, pages 555-561, 1999.]] Google ScholarDigital Library
- 17.M.B. Srivastava, A. P. Chandrakasan, and R. W. Brodersen. Predictive System Shutdown and Other Architecture Techniques for Energy Efficient Programmable Computation. IEEE Transactions on VLSI Systems, 4(1):42-55, March 1996.]] Google ScholarDigital Library
- 18.M.T. Stokes. Time in Human-Computer Interaction. PhD. Thesis, Psychology Department, Texas Tech University, 1991.]] Google ScholarDigital Library
- 19.T. Simuni6, L. Benini, and G. D. Micheli. Event-Driven Power Management of Portable Systems. In International Symposium on System Synthesis, pages 18-23, 1999.]] Google ScholarDigital Library
- 20.T. Simuni6, L. Benini, and G. D. Micheli. Dynamic Power Management of Laptop Hard Disk. In Design Automation and Test in Europe, 2000.]] Google ScholarDigital Library
Index Terms
- Quantitative comparison of power management algorithms
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