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 18
- Downloads 0
Digital India: A Digital Future
Calm Digital Revolution For over 10 years, Mobiles for Social Impact, Wireless for Communities, Empowering Women through Mobile, D Content (Enabling Development through Digital Content), an arbitrary look through the dis...
Inferring User Search Goals using Feedback
For a wide subject and ambiguous query, diverse users may have distinctive search objectives when they submit it to a web search engine. The derivation and examination of user pursuit objectives i.e. goals can be extreme...
A Review on Image Segmentation Technique
Making a segment of an image or any object is what segmentation is all about. The first stages in image segmentation are pattern recognition and picture analysis. We may conduct significant research topics in the segment...
An Analysis of Soil Stability Techniques
Soil Steadiness is procedure of augmenting bearing capacity of soil by improving shear asset characteristics of soil. When soil available for building is unsuitable for carrying structural loads, it is needed. Soils...
Detecting Intended Target Birds and Using Frightened Techniques in Crops to Preserve Yield
An invention that is more appealing and practical for the general public is required as the world moves toward new trends and technology. The study uses AI and IoT technology to reduce crop damage caused by birds, a sign...