Energy-aware scheduling mandatory/optional tasks in multicore real-time systems
Reward-based scheduling of real-time systems of periodic, preemptable, and independent tasks with mandatory and optional parts in homogeneous multiprocessors with energy considerations is a problem that has not been analyzed before. The problem is NP-hard. In this paper, a restricted migration sched...
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paper:paper_09696016_v24_n1-2_p173_MendezDiaz2023-06-08T15:59:03Z Energy-aware scheduling mandatory/optional tasks in multicore real-time systems Méndez Díaz, Isabel Zabala, Paula combinatorial optimization heuristics integer programming scheduling Combinatorial optimization Integer programming Interactive computer systems Job shop scheduling Power management Scheduling Energy considerations Energy-aware scheduling Heuristics Independent tasks Objective functions Operation frequency Real time performance Synthetic systems Real time systems Reward-based scheduling of real-time systems of periodic, preemptable, and independent tasks with mandatory and optional parts in homogeneous multiprocessors with energy considerations is a problem that has not been analyzed before. The problem is NP-hard. In this paper, a restricted migration schedule is adopted in which different jobs of the same task may execute in different processors and at different power modes but no migration is allowed after the job has started its execution. An objective function to maximize the performance of the system considering the execution of optional parts, the benefits of slowing down the processor, and a penalty for changing the operation frequency is introduced together with a set of constraints that guarantee the real-time performance of the system. Different algorithms are proposed to find a feasible schedule maximizing the objective function and are compared using synthetic systems of tasks generated following guidelines proposed in previous papers. © 2016 The Authors. International Transactions in Operational Research © 2016 International Federation of Operational Research Societies Published by John Wiley & Sons Ltd, 9600 Garsington Road, Oxford OX4 2DQ, UK and 350 Main St, Malden, MA02148, USA. Fil:Méndez-Díaz, I. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Zabala, P. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2017 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09696016_v24_n1-2_p173_MendezDiaz http://hdl.handle.net/20.500.12110/paper_09696016_v24_n1-2_p173_MendezDiaz |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
combinatorial optimization heuristics integer programming scheduling Combinatorial optimization Integer programming Interactive computer systems Job shop scheduling Power management Scheduling Energy considerations Energy-aware scheduling Heuristics Independent tasks Objective functions Operation frequency Real time performance Synthetic systems Real time systems |
spellingShingle |
combinatorial optimization heuristics integer programming scheduling Combinatorial optimization Integer programming Interactive computer systems Job shop scheduling Power management Scheduling Energy considerations Energy-aware scheduling Heuristics Independent tasks Objective functions Operation frequency Real time performance Synthetic systems Real time systems Méndez Díaz, Isabel Zabala, Paula Energy-aware scheduling mandatory/optional tasks in multicore real-time systems |
topic_facet |
combinatorial optimization heuristics integer programming scheduling Combinatorial optimization Integer programming Interactive computer systems Job shop scheduling Power management Scheduling Energy considerations Energy-aware scheduling Heuristics Independent tasks Objective functions Operation frequency Real time performance Synthetic systems Real time systems |
description |
Reward-based scheduling of real-time systems of periodic, preemptable, and independent tasks with mandatory and optional parts in homogeneous multiprocessors with energy considerations is a problem that has not been analyzed before. The problem is NP-hard. In this paper, a restricted migration schedule is adopted in which different jobs of the same task may execute in different processors and at different power modes but no migration is allowed after the job has started its execution. An objective function to maximize the performance of the system considering the execution of optional parts, the benefits of slowing down the processor, and a penalty for changing the operation frequency is introduced together with a set of constraints that guarantee the real-time performance of the system. Different algorithms are proposed to find a feasible schedule maximizing the objective function and are compared using synthetic systems of tasks generated following guidelines proposed in previous papers. © 2016 The Authors. International Transactions in Operational Research © 2016 International Federation of Operational Research Societies Published by John Wiley & Sons Ltd, 9600 Garsington Road, Oxford OX4 2DQ, UK and 350 Main St, Malden, MA02148, USA. |
author |
Méndez Díaz, Isabel Zabala, Paula |
author_facet |
Méndez Díaz, Isabel Zabala, Paula |
author_sort |
Méndez Díaz, Isabel |
title |
Energy-aware scheduling mandatory/optional tasks in multicore real-time systems |
title_short |
Energy-aware scheduling mandatory/optional tasks in multicore real-time systems |
title_full |
Energy-aware scheduling mandatory/optional tasks in multicore real-time systems |
title_fullStr |
Energy-aware scheduling mandatory/optional tasks in multicore real-time systems |
title_full_unstemmed |
Energy-aware scheduling mandatory/optional tasks in multicore real-time systems |
title_sort |
energy-aware scheduling mandatory/optional tasks in multicore real-time systems |
publishDate |
2017 |
url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09696016_v24_n1-2_p173_MendezDiaz http://hdl.handle.net/20.500.12110/paper_09696016_v24_n1-2_p173_MendezDiaz |
work_keys_str_mv |
AT mendezdiazisabel energyawareschedulingmandatoryoptionaltasksinmulticorerealtimesystems AT zabalapaula energyawareschedulingmandatoryoptionaltasksinmulticorerealtimesystems |
_version_ |
1768544558733328384 |