Visualization of Job Scheduling in Grid Computers
M A Awad, M Z Rashad, M A Elsoud, M A El-dosuky

TL;DR
This paper discusses the challenge of job scheduling in grid computing, highlighting its NP-completeness and proposing a visualization approach using fish swarm, job dispatcher, and GridSim to improve understanding and execution of job scheduling.
Contribution
It introduces a visualization framework combining fish swarm, job dispatcher, and GridSim to aid in understanding and executing job scheduling in grid computing.
Findings
Visualization improves understanding of job scheduling
The approach demonstrates effective execution of jobs in grid environments
Proposes a novel combination of visualization tools for grid scheduling
Abstract
One of the hot problems in grid computing is job scheduling. It is known that the job scheduling is NP-complete, and thus the use of heuristics is the de facto approach to deal with this practice in its difficulty. The proposed is an imagination to fish swarm, job dispatcher and Visualization gridsim to execute some jobs.
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