European Journal of Molecular & Clinical Medicine

Abstract

Grid computing is a group of computers that are physically connected to perform
dedicated tasks together over a network or the Internet, such as analyzing e-commerce data,
solving a complicated problem, and other complicated jobs. In this new market, several
companies and research organizations have previously worked to solve current problems and
are now in the process of developing existing working methods to achieve better results. In this
paper, the authors proposed an improved model to boost the efficiency of some existing
methods in the resource scheduling algorithm that includes Semi – Global Scheduler and
Perfect – Global Scheduler. The job assigning based method is handled in the proposed
method to improve the efficiency and performance of the resource allocation schedulers. In
the comparison section, it shows that better results were provided by the proposed model than
by some existing models. In order to sustain the efficiency needed for real-time scenarios, grid
computing must be improved with a certain interval limit.