Improving job scheduling algorithms in a grid environment

2011 ◽  
Vol 27 (8) ◽  
pp. 991-998 ◽  
Author(s):  
Yun-Han Lee ◽  
Seiven Leu ◽  
Ruay-Shiung Chang
Keyword(s):  
Job Scheduling ◽  
Scheduling Algorithms ◽  
Grid Environment

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.

scholarly journals Cooling-Efficient Job Scheduling in a Heterogeneous Grid Environment

2015 ◽  
Vol 69 ◽  
pp. 104-115
Author(s):  
Ahmad Abba Haruna ◽  
Low T. Jung ◽  
Nordin Zakaria ◽  
Jun Okitsu
Keyword(s):  
Job Scheduling ◽  
Grid Environment
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