scholarly journals Job Scheduling Algorithms on Grid Computing: State-of- the Art

2012 ◽  
Vol 8 (6) ◽  
pp. 125-140 ◽  
Author(s):  
Adil Yousif ◽  
Sulaiman Mohd Nor ◽  
Abdul Hanan Abdualla ◽  
Mohammed Bakri Bashir
Keyword(s):  
Grid Computing ◽  
Job Scheduling ◽  
State Of The Art ◽  
Scheduling Algorithms

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 Survey on Job Scheduling Algorithms in Grid Computing

2015 ◽  
Vol 115 (15) ◽  
pp. 17-20 ◽  
Author(s):  
Seema Kumari ◽  
Gulshan Kumar
Keyword(s):  
Grid Computing ◽  
Job Scheduling ◽  
Scheduling Algorithms

Balanced Job Scheduling Based on Ant Algorithm for Grid Network

2012 ◽  
pp. 13-30
Author(s):  
Nikolaos Preve
Keyword(s):  
Grid Computing ◽  
Ant Colony Optimization ◽  
Job Scheduling ◽  
Scheduling Algorithm ◽  
Scheduling Algorithms ◽  
Experimental Results ◽  
Ant Algorithm ◽  
Entire System ◽  
System Load ◽  
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 paper 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.

Balanced Job Scheduling Based on Ant Algorithm for Grid Network

2012 ◽  
pp. 1114-1131
Author(s):  
Nikolaos Preve
Keyword(s):  
Grid Computing ◽  
Ant Colony Optimization ◽  
Job Scheduling ◽  
Scheduling Algorithm ◽  
Scheduling Algorithms ◽  
Experimental Results ◽  
Ant Algorithm ◽  
Entire System ◽  
System Load ◽  
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 paper 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.

A SURVEY ON ENERGY AWARE JOB SCHEDULING ALGORITHMS IN CLOUD ENVIRONMENT

2016 ◽  
Vol 3 (1) ◽  
pp. 30 ◽  
Author(s):  
NASEERA SHAIK ◽  
JYOTHEESWAI P ◽  
◽  
Keyword(s):  
Job Scheduling ◽  
Scheduling Algorithms ◽  
Cloud Environment ◽  
Energy Aware

scholarly journals A Rigorous Evaluation of State-of-the-Art Scheduling Algorithms for Cloud Computing

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 75033-75047 ◽  
Author(s):  
Altaf Hussain ◽  
Muhamamd Aleem ◽  
Muhammad Arshad Islam ◽  
Muhammad Azhar Iqbal
Keyword(s):  
Cloud Computing ◽  
State Of The Art ◽  
Scheduling Algorithms ◽  
Rigorous Evaluation
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