scholarly journals Heuristic Based Task Scheduling in Multiprocessor Systems with Genetic Algorithm by Choosing the Eligible Processor

2012 ◽  
Vol 3 (4) ◽  
pp. 111-121 ◽  
Author(s):  
Probir Roy
Keyword(s):  
Genetic Algorithm ◽  
Task Scheduling ◽  
Multiprocessor Systems

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

Task scheduling algorithm based on improved genetic algorithm in cloud computing environment

2020 ◽  
Vol 13 ◽  
Author(s):  
Ge Weiqing ◽  
Cui Yanru
Keyword(s):  
Genetic Algorithm ◽  
Cloud Computing ◽  
Task Scheduling ◽  
Scheduling Algorithm ◽  
Task Completion ◽  
Improved Genetic Algorithm ◽  
Fitness Functions ◽  
Task Scheduling Algorithm ◽  
Simulation Results

Background: In order to make up for the shortcomings of the traditional algorithm, Min-Min and Max-Min algorithm are combined on the basis of the traditional genetic algorithm. Methods: In this paper, a new cloud computing task scheduling algorithm is proposed, which introduces Min-Min and Max-Min algorithm to generate initialization population, and selects task completion time and load balancing as double fitness functions, which improves the quality of initialization population, algorithm search ability and convergence speed. Results: The simulation results show that the algorithm is superior to the traditional genetic algorithm and is an effective cloud computing task scheduling algorithm. Conclusion: Finally, this paper proposes the possibility of the fusion of the two quadratively improved algorithms and completes the preliminary fusion of the algorithm, but the simulation results of the new algorithm are not ideal and need to be further studied.

Multiphase fault tolerance genetic algorithm for vm and task scheduling in datacenter

2021 ◽  
Vol 58 (5) ◽  
pp. 102676
Author(s):  
Samira Kanwal ◽  
Zeshan Iqbal ◽  
Fadi Al-Turjman ◽  
Aun Irtaza ◽  
Muhammad Attique Khan
Keyword(s):  
Genetic Algorithm ◽  
Fault Tolerance ◽  
Task Scheduling ◽  
And Task
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