Comparative Analysis of High-Performance Computing Systems and Machine Learning in Enhancing Cyber Infrastructure: A Multiple Regression Analysis Approach

Abstract

The invention of advanced digital technologies like machine learning, big data and other tools has disrupting the computing landscape in the current decades. The data corporations like Amazon, Google, Microsoft and others are focusing in tapping new opportunities through better information technology infrastructure, support in delivering higher performance for many companies, individuals and government. The traditional method of sing computing technologies to enhance coyer infrastructure is inadequate with the current development of Industry 5.0, hence the companies are implementing radical approach to understand the current and future requirement of the business and create better cyber infrastructure using high performance computing systems and machine learning. The continuous quest in understanding the overall pattern which shift through high quality data set has disrupted technological platform, the combination of machine learning approaches, robotics, high performance computing systems has boosted the overall performance in information technologies and companies are adopting these novel measures to use high computing methods, deep learning techniques and others for enhancing the cyber infrastructure. Since Machine learning (ML) and High-performance Computing (HPC) are continuously evolving, companies can now able to process the data with higher volume, understand the criticality of business operation and reduce the time to take quick action for sustainable development. Hence this study's is involved in understanding the criticality of implementing ML and HPC measures for supporting the cyber infrastructure requirements of organization in an effective manner.