EA-MSCA: An effective energy-aware multi-objective modified sine-cosine algorithm for real-time task scheduling in multiprocessor systems: Methods and analysis

2021 ◽  
Vol 173 ◽  
pp. 114699
Author(s):  
Mohamed Abdel-Basset ◽  
Reda Mohamed ◽  
Mohamed Abouhawwash ◽  
Ripon K. Chakrabortty ◽  
Michael J. Ryan
Keyword(s):  
Real Time ◽  
Task Scheduling ◽  
Multiprocessor Systems ◽  
Effective Energy ◽  
Energy Aware ◽  
Multi Objective ◽  
Time Task ◽  
Sine Cosine Algorithm

scholarly journals Energy-Aware Real-Time Task Scheduling in Multiprocessor Systems Using a Hybrid Genetic Algorithm

Electronics ◽  
2017 ◽  
Vol 6 (2) ◽  
pp. 40 ◽  
Author(s):  
Amjad Mahmood ◽  
Salman Khan ◽  
Fawzi Albalooshi ◽  
Noor Awwad
Keyword(s):  
Genetic Algorithm ◽  
Real Time ◽  
Task Scheduling ◽  
Hybrid Genetic Algorithm ◽  
Multiprocessor Systems ◽  
Energy Aware ◽  
Time Task

scholarly journals Energy-Aware Real-Time Task Scheduling for Heterogeneous Multiprocessors with Particle Swarm Optimization Algorithm

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Weizhe Zhang ◽  
Hucheng Xie ◽  
Boran Cao ◽  
Albert M. K. Cheng
Keyword(s):  
Particle Swarm Optimization ◽  
Energy Consumption ◽  
Real Time ◽  
Task Scheduling ◽  
Particle Swarm ◽  
Energy Aware ◽  
Swarm Optimization ◽  
Heterogeneous Multiprocessors ◽  
Time Task ◽  
Feasible Solutions

Energy consumption in computer systems has become a more and more important issue. High energy consumption has already damaged the environment to some extent, especially in heterogeneous multiprocessors. In this paper, we first formulate and describe the energy-aware real-time task scheduling problem in heterogeneous multiprocessors. Then we propose a particle swarm optimization (PSO) based algorithm, which can successfully reduce the energy cost and the time for searching feasible solutions. Experimental results show that the PSO-based energy-aware metaheuristic uses 40%–50% less energy than the GA-based and SFLA-based algorithms and spends 10% less time than the SFLA-based algorithm in finding the solutions. Besides, it can also find 19% more feasible solutions than the SFLA-based algorithm.

scholarly journals Real-Time Task Scheduling for Energy-Aware Embedded Systems

2005 ◽  
Author(s):  
Vishnu Swaminathan ◽  
Krishnendu Chakrabarty
Keyword(s):  
Embedded Systems ◽  
Real Time ◽  
Task Scheduling ◽  
Energy Aware ◽  
Time Task

Energy-Aware Real-Time Task Scheduling on Local/Shared Memory Systems

2016 ◽  
Author(s):  
Chenchen Fu ◽  
Gruia Calinescu ◽  
Kai Wang ◽  
Minming Li ◽  
Chun Jason Xue
Keyword(s):  
Real Time ◽  
Shared Memory ◽  
Task Scheduling ◽  
Memory Systems ◽  
Energy Aware ◽  
Time Task

Dynamic harvesting- and energy-aware real-time task scheduling

2020 ◽  
Vol 28 ◽  
pp. 100413
Author(s):  
Mahmoud Hasanloo ◽  
Mehdi Kargahi ◽  
Shahrokh Jalilian
Keyword(s):  
Real Time ◽  
Task Scheduling ◽  
Energy Aware ◽  
Time Task
Sign in / Sign up

Export Citation Format

Share Document