Abstract
In this paper, we focus on power-aware network devices, and propose a stochastic model to evaluate their performance quantitatively. More precisely, applying the Markovian additive process (MAP) to the arrival stream for network devices, we develop a stochastic dynamic power management (DPM) model with shutdown policy. Two performance measures for power-saving and processing; steady-state power consumption and throughput, are derived analytically for the DPM model. In numerical examples, we investigate the performance of the power-aware communication device with shutdown in terms of power-saving and processing.
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References
Benini, L., De Micheli, G.: Dynamic Power Management: Design Techniques and CAD Tools. Kluwer Academic Publishers, New York (1997)
Benini, L., Bogliolo, A., Paloologo, G.A., De Micheli, G.: Policy optimization for dynamic power management. IEEE Trans. on Computer-Aided Design of Circuits Systems 18(6), 813–833 (1999)
Benini, L., De Micheli, G.: System-level power optimization: techniques and tools. ACM Trans. on Design Automation of Electronic Systems 5(2), 115–192 (2000)
Chung, E., Benini, L., Bogliolo, A., De Micheli, G.: Dynamic power management for non-stationary service requests. In: Proc. 1999 Design Automation and Test in Europe, pp. 77–81. IEEE Computer Society Press, Los Alamitos (1999)
Hwang, C., Wu, A.C.: Predictive system shutdown method for energy saving of event-driven computation. ACM Trans. on Design Automation of Electronic Systems 5(2), 226–241 (2000)
Lu, Y., De Micheli, G.: Adoptive hard disk power management on personal computers. In: Proc. 9th Great Lakes Symp. on VLSI, pp. 50–53. IEEE Computer Society Press, Los Alamitos (1999)
Lu, Y., Šimunić, T., De Micheli, G.: Software controlled power management. In: Proc. 7th Int’l Workshop on Hardware/Software Codesign, pp. 157–161. ACM Press, New York (1999)
Okamura, H., Dohi, T., Osaki, S.: The phase type approximation for the optimal auto-sleep scheduling. Mathematical and Computer Modelling 38(11,13), 1391–1398 (2003)
Okamura, H., Dohi, T., Osaki, S.: A structural approximation method to generate the optimal auto-sleep schedule for a computer system. Computers and Mathematics with Applications 46(7), 1103–1110 (2003)
Qiu, Q., Pedram, M.: Dynamic power management based on continuous-time Markov decision processes. In: Proc. 36th Design Automation Conference, pp. 555–561. IEEE Computer Society Press, Los Alamitos (1999)
Sandoh, H., Hirakoshi, H., Kawai, H.: An optimal time to sleep for an auto-sleep system. Computers & Operations Research 23, 221–227 (1996)
Srivastava, M., Chandrakasan, A., Brodersen, B.: Predictive system shutdown and other architectural techniques for energy efficient programmable computation. IEEE Trans. on Very Large Scale Integrated Systems 4(1), 42–55 (1996)
Neuts, M.F.: Matrix-Geometric Solutions in Stochastic Models: An Algorithmic Approach. Johns Hopkins University Press, Baltimore (1981)
Cox, D.R.: Renewal theory. John Wiley & Sons Inc., London (1962)
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© 2005 Springer-Verlag Berlin Heidelberg
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Okamura, H., Dohi, T. (2005). Performance Evaluation of Power-Aware Communication Network Devices. In: Yang, L.T., Amamiya, M., Liu, Z., Guo, M., Rammig, F.J. (eds) Embedded and Ubiquitous Computing – EUC 2005. EUC 2005. Lecture Notes in Computer Science, vol 3824. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596356_27
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DOI: https://doi.org/10.1007/11596356_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30807-2
Online ISBN: 978-3-540-32295-5
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