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Real-Time Scheduling with DVS and Harvesting Energy Constraints

by Mona Kumari, Ajitesh Kumar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 56 - Number 18
Year of Publication: 2012
Authors: Mona Kumari, Ajitesh Kumar
10.5120/8999-3101

Mona Kumari, Ajitesh Kumar . Real-Time Scheduling with DVS and Harvesting Energy Constraints. International Journal of Computer Applications. 56, 18 ( October 2012), 16-22. DOI=10.5120/8999-3101

@article{ 10.5120/8999-3101,
author = { Mona Kumari, Ajitesh Kumar },
title = { Real-Time Scheduling with DVS and Harvesting Energy Constraints },
journal = { International Journal of Computer Applications },
issue_date = { October 2012 },
volume = { 56 },
number = { 18 },
month = { October },
year = { 2012 },
issn = { 0975-8887 },
pages = { 16-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume56/number18/8999-3101/ },
doi = { 10.5120/8999-3101 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:59:10.816333+05:30
%A Mona Kumari
%A Ajitesh Kumar
%T Real-Time Scheduling with DVS and Harvesting Energy Constraints
%J International Journal of Computer Applications
%@ 0975-8887
%V 56
%N 18
%P 16-22
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In real-time embedded system, that must carry their own power source and cannot depends on the power outlet on the wall, apart from feasibly schedule the set of tasks, power management is also the major issue because without power the system is useless. In this paper, we propose a harvesting aware real-time scheduling algorithm with variable speed assignment scheme to set of periodic tasks aims to reduce the energy consumption while feasibly schedule the set of periodic tasks within their deadline. This can be done by DVS(Dynamic Voltage and frequency Selection), executing the task with the speed such that a task can consume as much energy which is quite sufficient to complete it successfully within its deadline. The example and simulation results shows that the propose approach is capable of performing better in terms of average stored remaining energy of the system as well as acceptance ratio of periodic tasks at lower periodic load.

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Index Terms

Computer Science
Information Sciences

Keywords

Real-Time Scheduling DVS Energy Harvesting Periodic Tasks Embedded System Power Management

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