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Survey of Resource and Grouping Based Job Scheduling Algorithm in Grid Computing

Author(s): Sandeep Kaur | Sukhpreet Kaur

Journal: International Journal of Computer Science and Mobile Computing
ISSN 2320-088X

Volume: 2;
Issue: 5;
Start page: 214;
Date: 2013;
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Keywords: Grid computing | scheduling algorithm | Grouping strategy | Job scheduling | Load balancing

Grid computing is distributed computing environment, which enabling the dynamic selection,sharing resources based on availability, capability, performance or cost of these computing resource andsimultaneously also based on organization specific requirements. The main purpose of Grid computing is toshare the computational power, storage memory, network resource to solve a large problem. The goal of thejob scheduler should be maximize the resource utilization and minimize the processing time of the job.Although Grids has been used for executing application with compute-intensive jobs but there are severalapplications with light weight jobs. The job grouping strategy improves the performance of application withlarge number of small processing requirements jobs. Motivation of this paper is to encourage the researcherin field of grid computing, so that they can understand easily the concept of job grouping strategy and cancontribute in developing more efficient job grouping based scheduling algorithm.
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