The IoE Grid Computing Framework will be used to look into high-performance computing tools for higher education institutions. The primary and secondary data from higher education organizations are used to make the model and architecture. So, using a computational IoE grid and the supported toolkits, a model of the event was made. To see how well resources and related algorithms work, they are put to the test in different situations, such as by confirming the number of resources and users with different needs. To determine the level of demand for high-performance computing tools, data were gathered from particular colleges and universities. Before the data was fed into the system, preprocessing tasks like handling missing values and choosing features were completed. The findings demonstrate that these traits and the requirement for high-performance computing resources in higher education institutions are strongly related.