Real-Time Scheduling Algorithms for Improved Mobile Device Energy Efficiency

In the era of real-time applications dominating mobile devices, balancing enhanced performance with prolonged battery life has become a significant challenge. This paper explores the complexities of real-time scheduling algorithms, focusing on Earliest Deadline First (EDF) and Rate Monotonic (RM) algorithms, and their impact on energy consumption. Additionally, variations of these algorithms are introduced in the context of Dynamic Voltage Scaling (DVS), a technique crucial for achieving optimal performance with improved battery efficiency. Through an in-depth analysis of various conditions, including task numbers and worst-case processor utilization, the study demonstrates the effectiveness of these algorithms, making them indispensable in scenarios where energy efficiency is paramount.

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Publication Details

Published
2025-02-07
DOI
https://doi.org/10.1109/iccece61355.2025.10940235
Citations
1
Primary Topic
Green IT and Sustainability
Type
article
Field-Weighted Citation Impact
0.73
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article

Real-Time Scheduling Algorithms for Improved Mobile Device Energy Efficiency

Ajaykumar Devrajbhai Panchani
1 citations
Green IT and Sustainability
0.73
article

Real-Time Scheduling Algorithms for Improved Mobile Device Energy Efficiency

Ajaykumar Devrajbhai Panchani
article en
1 citations

Abstract

In the era of real-time applications dominating mobile devices, balancing enhanced performance with prolonged battery life has become a significant challenge. This paper explores the complexities of real-time scheduling algorithms, focusing on Earliest Deadline First (EDF) and Rate Monotonic (RM) algorithms, and their impact on energy consumption. Additionally, variations of these algorithms are introduced in the context of Dynamic Voltage Scaling (DVS), a technique crucial for achieving optimal performance with improved battery efficiency. Through an in-depth analysis of various conditions, including task numbers and worst-case processor utilization, the study demonstrates the effectiveness of these algorithms, making them indispensable in scenarios where energy efficiency is paramount.

Liberty Hill (US)
Affordable and clean energy
Openalex Percentile: Top 30%
Green IT and Sustainability
0.73
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