Abstract

Research & Development in Material Science

A New Approach for Job Scheduling Using Hybrid GAST Optimization

  • Open or Close Monika, Krishan Kumar and Himanshu Monga*

    Department of Computer Science Engineering, Jan Nayak Chaudhary Devi Lal Memorial College of Engineering, India

    *Corresponding author: Himanshu Monga, Department of Computer Science Engineering, Jan Nayak Chaudhary Devi Lal Memorial College of Engineering, India, Tel: +91-9418030062; Email: himanshumonga@gmail.com

Submission: November 10, 2017; Published: December 12, 2017

Volume2 Issue4
December 2017

Abstract

In the proposed method, the GA-ST has applied over the number of processes regardless of their size as well as priority. Thus, the scheduling is done without considering their types and performs accordingly. The performance of proposed and traditional techniques is compared over different workloads. This work is to maximize the efficiency of the system with the discovery of efficient operating scenario that can handle the load with effective response time. The experimental results are performed using MATLAB software under different mean arrival time i.e. 24, 26 and 28. From the analysis it confirms that proposed technique of scheduling outperforms the other traditional scheduling algorithms and performs expertly in varying workloads.

Keywords: Job scheduling; FCFS; SJF; GA-ST optimization algorithm

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