An Overview of Environmental Scalability and Security in Hybrid Cloud Infrastructure Designs

Abstract

The practice of using IT resources via the internet with pay-as-you-go pricing is known as cloud computing. The cloud computing market has grown dramatically in the last few years. Most companies are transmitting from on-premises data centers to cloud computing. You can use the cloud as an alternative to purchasing and maintaining computer hardware and software. You can spend time, energy, or money doing everything yourself. This paper presents an overview of the architecture, scalability, economics, consistency-availability-partition, transactions, and security of cloud-based system designs. This study assesses the current cloud development ecosystem using various criteria.

Review of Evolving Cloud Computing Paradigms: Security, Efficiency, and Innovations

“…It provides a versatile solution for organizations with varying IT requirements. Hybrid Cloud allows organizations to optimize costs by maintaining critical workloads on-premises and utilizing the cloud for additional resources as needed (Achar, 2021, Deb & Choudhury, 2021, Dittakavi, 2022. This balance ensures efficient resource utilization without overspending.…”

Adaptive Neuro-Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN) for Predicting the Kinematic Viscosity

“…Kinematic viscosity and density data of different biodiesel blends samples at different temperatures and volume fraction of biodiesel were gathered from the literature. A total of 900 and 520 experimental points for kinematic viscosity and density, respectively, were obtained from various scientific publications [32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49]. The development of the proposed approaches was performed as follows.…”

“…The details of the calculation method, numerical validation, and comparative statistical analysis are fully described in this work. The ANFIS and ANN to be developed in this paper address a more extensive database that published in other works [32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49].…”

A Comprehensive Study of Current and Future Trends in Cloud Forensics

“…For example, a job-based SaaS cloud model with an integrity verification mechanism was suggested elsewhere in consideration of this. There is always a concern about evidence integration verification effectively and accurately because of the heavy reliance on CSPs, as investigators must gather all the evidence from a dispersed cloud architecture (Achar, 2021a). Future research should focus on creating a reliable and practical framework for the investigator to be aware of throughout the gathering and integrating evidence.…”