An Effective Analysis of Cloud Related Platform using Big Data Approaches for Effective Implementation of High-Performance Computing through Structural Equation Modeling (SEM) Approach

The recent technologies are focusing on High- performance computing to fasten the complex calculations and market procedures in industries. Therefore, analysis of the big- data and cloud-computing is necessary to implement the “High- performance computing” (HPC) in practice. Based ^on the advantages, the research aimed to identify the advantages and disadvantages of cloud computing as well as HPCs. The research used SEM approach to justify the procedure for implementing HPC effectively. In this research, SPSS software was used to conduct multiple regression analysis. A significance value of p < 0.05 is considered ‘significant’ which describes a strong relationship between the dependent and independent variable. The independent variables selected are HPC in industry and year; and the dependent variable is ‘Profit Gain’. Findings showed an insignificant relationship between the dependent and independent variable. According to the result of the SPSS data, the selected variables are not significant and the regression data is not fitting as per the requirements as well.