This research works on task/job scheduling problems in a high-performance computing environment. The aim is focused on a scheduling performance analysis of the activities in grid and cloud simulation. Grid computing works at managing advanced systems from many other multiple processors through a collection of machine resources. This varies from traditional computer structures in their loosely connected, large-scale, extremely complex, and heterogeneous nature, like computing environments. Cloud infrastructure offers computational tools for the computer and network systems as a web-based service. Once activities exploit repeated files, this issue is even more difficult, as we have to control their accuracy. In this paper, the authors suggest a method for assigning tasks and ensuring process integrity dependent on assignments and code duplication. The simulation techniques are commonly used by researchers to classify and test grid/cloud behavior, evaluating the constraints of integrating a specific grid or cloud computing system as a result of currently serving and large-scale study objectives.