Improved Hybrid Scheduling Algorithm for Grid Infrastructure

Abstract

Objective: To develop an algorithm for job scheduling with proper utilization of resources in grid environment. Methods: This research work mainly focus on the development of a novel algorithm named Improved Hybrid Scheduling Algorithm for Grid (IHSAG) for job scheduling using a hybrid approach that can work effectively in the grid as well as cloud scenarios. In the proposed work of job scheduling, we have developed a unique and novel algorithm making use of hybrid as well as parallel approach of handling and processing the jobs in sequence. Results: In this research we have implement a different parameters like as reliability, efficiency, cost factor, complexity and performance for grid scheduling systems and the analysis is done based on the existing scheduling algorithms in grid infrastructure. Also, we implement a new algorithm that is improved hybrid scheduling algorithm which uses a parallel approaches for scheduling in grid computing. Conclusion: Using cloudsim and gridsim libraries the proposed algorithm suggests that the algorithm is more efficient, less complex, producing better performance and resource utilization of scheduling algorithms.