Applications of Large Language Models in Cloud Computing: An Empirical Study Using Real-world Data
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2024, Vol 12, Issue 4
Abstract
This study investigates the integration of Large Language Models (LLMs) in cloud computing, focusing on their impact on resource allocation and management. The research employs Bayesian inference and Markov Decision Processes (MDPs) to enhance predictive accuracy and decision-making efficiency. Over a month, data collected from AWS, GCP, Azure, IBM, and Oracle reveals significant improvements in CPU utilization, memory usage, network latency, and storage performance. LLMs demonstrated superior performance compared to traditional models, optimizing task scheduling and reducing idle times. Bayesian inference refined resource predictions, while MDPs provided a structured approach to dynamic optimization, resulting in lower latency and better system efficiency. The findings suggest that integrating LLMs can transform cloud service management, offering enhanced performance, reliability, and cost savings. Future research should explore long-term trends, security implications, and the ethical aspects of AI deployment in cloud environments.
Authors and Affiliations
Hanzhe Li Sherry X WangFu Shang Kaiyi Niu and Runze Song
Keywords
Related Articles
- EP ID EP744921
- DOI 10.55524/ijircst.2024.12.4.10
- Views 62
- Downloads 1
Investigate the Properties of Concrete as Partial Replacement of Cement With Egg Shell Powder
Concrete is a highly consumed material in construction field due to its advantages because of this the natural resources are depleting day by day at an alarming rate and there is an immediate need for finding alternate m...
MODULARITY: A MAJOR ASPECT TO MAINTAINABILITY
Researchers and Practitioners advocated that the modularity aspect of the software is highly desirable and significant for developing quality-oriented maintainable software. Despite the fact modularity is a vital and hig...
Machine Learning Approaches in Spatial Data Mining
This review paper surveys the integration of machine learning techniques in spatial data mining, a crucial intersection of geographic information systems and data mining. It examines the application of various machine le...
Advance Fire Control and Detection System
In recent years, the usage of various domestic Internet of Things (IoT) devices has grown increasingly popular. One required and significant use of home automation with IoT is fire detection and fire accident avoidance....
Securing and Secrete Image Sharing Using Visual Cryptography Scheme
To verify identity of person his /her physical or behavioural characteristics can be use,this strategy is called as Biometrics. Preservation of privacy of digital biometric data such as iris,face images etc. which stored...