An Enhanced Adaptive Scoring Job Scheduling algorithm for minimizing job failure in heterogeneous grid network

Author(s):  
S.K. Aparnaa ◽  
K. Kousalya
2013 ◽  
Vol 77 (1) ◽  
pp. 33-36
Author(s):  
Behzad Azizpour ◽  
Mehdi Effatparvar ◽  
Mohammad Sadeq Garshasbi

2010 ◽  
Vol 2 (1) ◽  
pp. 34-50 ◽  
Author(s):  
Nikolaos Preve

Job scheduling in grid computing is a very important problem. To utilize grids efficiently, we need a good job scheduling algorithm to assign jobs to resources in grids. The main scope of this article is to propose a new Ant Colony Optimization (ACO) algorithm for balanced job scheduling in the Grid environment. To achieve the above goal, we will indicate a way to balance the entire system load while minimizing the makespan of a given set of jobs. Based on the experimental results, the proposed algorithm confidently demonstrates its practicability and competitiveness compared with other job scheduling algorithms.


2019 ◽  
Vol 75 (12) ◽  
pp. 7994-8011 ◽  
Author(s):  
Hadeel Alazzam ◽  
Esraa Alhenawi ◽  
Rizik Al-Sayyed

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