scholarly journals Job Scheduling in Grid Computing

2013 ◽  
Vol 69 (22) ◽  
pp. 13-16 ◽  
Author(s):  
Khushboo Yadav ◽  
Deepika Jindal ◽  
Ramandeep Singh
Keyword(s):  
Grid Computing ◽  
Job Scheduling

scholarly journals Job Scheduling in Grid Computing with Fast Artificial Fish Swarm Algorithm

2014 ◽  
Vol 96 (14) ◽  
pp. 1-5
Author(s):  
M. A.AwadEl-bayoumy ◽  
M. Z. Rashad ◽  
M. A. Elsoud ◽  
M. A. El-dosuky
Keyword(s):  
Grid Computing ◽  
Job Scheduling ◽  
Artificial Fish Swarm Algorithm ◽  
Artificial Fish Swarm ◽  
Swarm Algorithm

Balanced Job Scheduling Based on Ant Algorithm for Grid Network

2010 ◽  
Vol 2 (1) ◽  
pp. 34-50 ◽  
Author(s):  
Nikolaos Preve
Keyword(s):  
Grid Computing ◽  
Ant Colony Optimization ◽  
Job Scheduling ◽  
Scheduling Algorithm ◽  
Scheduling Algorithms ◽  
Experimental Results ◽  
Ant Algorithm ◽  
Entire System ◽  
Grid Environment ◽  
Grid Network

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.

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