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Optimal Power Management System in Embedded Devices by using Novel Scheduling Algorithm

Optimal Power Management System in Embedded Devices by using Novel Scheduling Algorithm

Harsha S. Shanthaveeraiah, R. Balasubramani
Copyright: © 2020 |Volume: 11 |Issue: 1 |Pages: 21
ISSN: 1947-3176|EISSN: 1947-3184|EISBN13: 9781799806998|DOI: 10.4018/IJERTCS.2020010103
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MLA

Shanthaveeraiah, Harsha S., and R. Balasubramani. "Optimal Power Management System in Embedded Devices by using Novel Scheduling Algorithm." IJERTCS vol.11, no.1 2020: pp.41-61. http://doi.org/10.4018/IJERTCS.2020010103

APA

Shanthaveeraiah, H. S. & Balasubramani, R. (2020). Optimal Power Management System in Embedded Devices by using Novel Scheduling Algorithm. International Journal of Embedded and Real-Time Communication Systems (IJERTCS), 11(1), 41-61. http://doi.org/10.4018/IJERTCS.2020010103

Chicago

Shanthaveeraiah, Harsha S., and R. Balasubramani. "Optimal Power Management System in Embedded Devices by using Novel Scheduling Algorithm," International Journal of Embedded and Real-Time Communication Systems (IJERTCS) 11, no.1: 41-61. http://doi.org/10.4018/IJERTCS.2020010103

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Abstract

Recently, Android is being integrated and applied to various embedded systems because of good characteristics like open source, a wide connective range, multitasking, and secure communications. Most of the modern embedded designers have been focused on system performance while reducing operating power consumption. However, increasing the performance level inevitably increases power consumption. In this article, an optimal power management (OPM) system is proposed for embedded systems using a novel scheduling algorithm. It can control the operating power consumption of open source platforms (Raspberry-PI, Parallella, and Arduino) supported hardware devices (ZynqBerry, ZynqParallela, and ArduZynq). The proposed OPM system uses the scheduling algorithm based on the functionality of optimization and their tasks. Moreover, the proposed OPM system provides the low or high frequency to the devices upon receiving the low frequency and high frequency request from the devices. The simulation result is calculated in terms power consumption, maximum operating frequency and hardware utilization.

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