Downloads

Keywords:

Hybrid Cloud Computing, Cloud Computing Models, High-Performance Applications, Hybrid Cloud Architecture, Cloud Infrastructure, Scalability in Cloud Computing, Cloud Resource Optimization, Cloud Management Platforms (CMPs), On-premises and Cloud Integration, Data Security in Hybrid Clouds.

Hybrid Cloud Computing Models: A Framework for High-Performance Applications

Authors

Sai Dikshit Pasham1
University Of Illinois, Springfield 1

Abstract

One of the most important models that have become significant for organizations with their IT service requirements is the hybrid cloud computing model. Hybrid models are defined as cloud computing combining smooth-running on-premises resources with public and private clouds, which can provide a solid flexible foundation to host various high-performance applications, including artificial intelligence, big data analysis, and essential business functions. This paper aims to identify the key decision criteria, advantages, and issues of using hybrid cloud computing with a focus on its places inefficient resource management, low latency, and compliance considerations. The discussion combines the reflective analysis of case studies and presentations of industry practices to show how organizations can unlock operational value and innovation with hybrid cloud models. Furthermore, the paper examines future trends such as edge computing and artificial intelligence’s impact. It highlights that the hybrid cloud frameworks’ advancement remains central to the future generations of digital transformation enablers.

Article Details

Published

2022-02-24

Section

Articles

How to Cite

Hybrid Cloud Computing Models: A Framework for High-Performance Applications. (2022). Research and Analysis Journal, 5(2), 01-24. https://doi.org/10.18535/raj.v5i2.274