Slack Distribution for the Battery Aware Dynamic Voltage Scaling Policy

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Abstract:

Battery lifetime is a critical design parameter in the operation of mobile computing devices. Maximizing the battery lifetime is a particularly difficult problem due to the nonlinearity of the battery discharge behavior and its dependence on the discharge profile. In this paper, we address the problem how battery aware dynamic voltage scaling policy optimizes the battery capacity consumption. We propose the procedure of slack distribution optimization to reduce the battery capacity consumption by distributing the slack optimally for the schedules generated by the existing battery aware DVS policies, and analysis the properties of the procedure. The experiment results show that the proposed procedure can further safe battery capacity consumption evidently.

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Key Engineering Materials (Volumes 480-481)

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928-931

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June 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] W. Kim, D. Shin, H. S. Yun, J. Kim and S. L. Min: Proc. RTAS (2002), p.219.

Google Scholar

[2] D. Rakhmatov and S. Vrudhula: ACM Trans. Emb. Comp. Syst. Vol. 2 (2004), p.277.

Google Scholar

[3] R. Rao, S. Vrudhula and D. Rakhmatov: IEEE Comp. Vol. 36 (2003), p.77.

Google Scholar

[4] D. Rakhmatov, S. Vrudhula and D. A. Wallach: IEEE Trans. VLSI Syst. Vol. 11 (2003), p.1019.

Google Scholar

[5] J. Khan and R. Vemuri: Proc. DATE (2005), p.622.

Google Scholar

[6] P. Chowdhury and C. Chakrabarti: IEEE Trans. VLSI Syst. Vol. 13 (2005), p.226.

Google Scholar

[7] J. Zhuo and C. Chakrabarti: Proc. ASP-DAC (2005), p.846.

Google Scholar

[8] J. Ahmed and C. Chakrabarti: Proc. ISCAS (2004), p.813.

Google Scholar