Grid Networks: A Scheduling Method to Improve the Time and Cost of Executing Tasks in Grid Environment and Management

Abstract

Grid was a technology that allows us to remotely access various types of resources by using communication infrastructure and computer networks, and by utilizing the limitations of the concepts and features of distributed systems. This study aimed to introduce an algorithm for improving scheduling in grid networks, which in turn results in lower cost. As the results show, the MOPSO algorithm improved the NSGA-II algorithm in all the problems in both the target time function and the target function. This improvement is between 10% and 14%. Generally, this algorithm has achieved a better response by 12.59 percent. Also, according to the objective criteria, other algorithms such as bat algorithm, firefly algorithm and ant colony algorithm have improved in simulation of the algorithm.