Multi-objective Bayesian optimization algorithm for real-time task scheduling on heterogeneous multiprocessors

2016 ◽  
Author(s):  
Sajib K Biswas ◽  
Amit Rauniyar ◽  
Pranab K Muhuri
Keyword(s):  
Real Time ◽  
Task Scheduling ◽  
Optimization Algorithm ◽  
Bayesian Optimization ◽  
Heterogeneous Multiprocessors ◽  
Bayesian Optimization Algorithm ◽  
Multi Objective ◽  
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.

Multi-objective league championship algorithm for real-time task scheduling

2019 ◽  
Vol 32 (9) ◽  
pp. 5093-5104 ◽  
Author(s):  
Saroja Subbaraj ◽  
Revathi Thiagarajan ◽  
Madavan Rengaraj
Keyword(s):  
Real Time ◽  
Task Scheduling ◽  
Multi Objective ◽  
Time Task
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