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Reducing System Level Power Consumption for Mobile and Embedded Platforms

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Systems Aspects in Organic and Pervasive Computing - ARCS 2005 (ARCS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3432))

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Abstract

The power consumption of peripheral devices is a significant portion of the overall energy usage of a mobile platform. To take advantage of idle times, most devices offer the ability to transition into low power states. However, the amount of energy saved by utilizing these sleep states depends on the lengths and number of idle periods experienced by the device. This paper describes a new process scheduling algorithm which accumulates device usage information in the form of device windows to make power a first class resource: it attempts to increase the burstiness of both device accesses and idle periods, and it provides enhanced behavior for timeout-based sleep mechanisms. An initial implementation based on the default Linux scheduler demonstrates the algorithm’s and approach’s ability to reduce the average power consumption of devices by increasing device sleep times and reducing transition overheads.

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Author information

Authors and Affiliations

  1. College of Computing, Georgia Institute of Technology, Atlanta, GA, 30332, USA

    Ripal Nathuji & Karsten Schwan

Authors
  1. Ripal Nathuji
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  2. Karsten Schwan
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Editor information

Editors and Affiliations

  1. Distributed and Ubiquitous Systems, Muehlenpfordtstr. 23, 38106, Braunschweig, Germany

    Michael Beigl

  2. Embedded Systems Lab, University of Passau, Innstr. 43, 94032, Passau, Germany

    Paul Lukowicz

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© 2005 Springer-Verlag Berlin Heidelberg

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Nathuji, R., Schwan, K. (2005). Reducing System Level Power Consumption for Mobile and Embedded Platforms. In: Beigl, M., Lukowicz, P. (eds) Systems Aspects in Organic and Pervasive Computing - ARCS 2005. ARCS 2005. Lecture Notes in Computer Science, vol 3432. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31967-2_2

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  • DOI: https://doi.org/10.1007/978-3-540-31967-2_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25273-3

  • Online ISBN: 978-3-540-31967-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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