AI and Cloud Computing for Enhanced Virtualization and Containerization
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2024, Vol 12, Issue 5
Abstract
This research paper aims at analysing the application of artificial intelligence and deep learning techniques in the cloud computing paradigm especially in virtualization and containerization. Since cloud computing has been rapidly integrated into organizations, it is necessary to address the problem of resource management. This study evaluates four deep learning models—Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM) networks, and Autoencoders—across key performance metrics: which are accuracy, precision, recall, and F1 score, for example. The findings suggest that the CNN had the best accuracy of 92% for identifying performance bottlenecks, while the LSTM had the second-best accuracy of 91% for forecasting. The RNN and Autoencoder also had a good performance in terms of predicting resource utilization and detecting abnormal behavior respectively. Consequently, it is suggested that these algorithms can significantly enhance the operational, security, and resource management efficiency of cloud computing and these may be valuable for further research and practical applications.
Authors and Affiliations
Mrinal Kumar, Yuvaraj Madheswaran
Keywords
Related Articles
- EP ID EP749874
- DOI 10.55524/ijircst.2024.12.5.11
- Views 47
- Downloads 0
Measurement and Implementation of Patient Satisfaction in the Healthcare Industry: Part 2
Increasingly knowledgeable consumers, with rising demands to have information available for them to make appropriate health care decisions, have driven healthcare managers and administrators to focus on an improvement of...
Consumer Perceptions Towards Organic Food
Consumer Food security, personal wellness, and ecological issues, as well as sensual aspects like nutritious value, flavor, cleanliness, and beauty, all impact natural agricultural choices. While ethnic considerations ma...
Analysis of Cyber Security Threats Using Machine Learning Techniques
Nowadays malware detection is a problem that researchers have tried to solve for so many years by using enormous type of methods. The behaviors of two given malware variants remain similar, although their signatures coul...
Body Carrier’s- The Core of Illicit Trafficking
When ingested, a drug is a harmful chemical that alters the physiology or psychology of creatures. Inhalation, injection, smoking, and dissolution beneath the tongue are all methods of drug ingestion. Drugs are derived f...
Design of a Robust Hybrid Fuzzy Method for Medical Image Fusion
In this modern era, medical image processing is an indispensable part of many applications and practices in the medical domain. The images that are used should meet certain criteria, including having more accurate detail...