Intelligent Cloud Systems: AI-Driven Enhancements in Scalability and Predictive Resource Management

This research article explores the transformative role of Artificial Intelligence (AI) in cloud computing, with a focus on its influence on scalability, resource management, and predictive analytics within distributed systems. As cloud infrastructure becomes integral to organizational operations, AI technologies have emerged as vital tools for enhancing performance and efficiency. The study emphasizes how AI enables scalability through dynamic resource allocation and auto - scaling, allowing systems to a dapt seamlessly to changing demands. It also examines AI - driven resource management strategies, which utilize machine learning algorithms to optimize operations, lower costs, and ensure system resilience through predictive maintenance and anomaly detection . Furthermore, the article highlights predictive analytics, demonstrating how AI processes large datasets to support informed decision - making and improve system reliability. By integrating intelligent automation with cloud computing, this article underscores AI's pivotal role in advancing the capabilities of distributed systems.

Publication Details

Journal
Figshare
Published
2025-02-06
DOI
https://doi.org/10.6084/m9.figshare.28357082
Primary Topic
Thermochemical Biomass Conversion Processes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Intelligent Cloud Systems: AI-Driven Enhancements in Scalability and Predictive Resource Management

Figshare
Thermochemical Biomass Conversion Processes
article

Intelligent Cloud Systems: AI-Driven Enhancements in Scalability and Predictive Resource Management

article en

Abstract

This research article explores the transformative role of Artificial Intelligence (AI) in cloud computing, with a focus on its influence on scalability, resource management, and predictive analytics within distributed systems. As cloud infrastructure becomes integral to organizational operations, AI technologies have emerged as vital tools for enhancing performance and efficiency. The study emphasizes how AI enables scalability through dynamic resource allocation and auto - scaling, allowing systems to a dapt seamlessly to changing demands. It also examines AI - driven resource management strategies, which utilize machine learning algorithms to optimize operations, lower costs, and ensure system resilience through predictive maintenance and anomaly detection . Furthermore, the article highlights predictive analytics, demonstrating how AI processes large datasets to support informed decision - making and improve system reliability. By integrating intelligent automation with cloud computing, this article underscores AI's pivotal role in advancing the capabilities of distributed systems.

Figshare
Openalex Percentile: Top 57%
Thermochemical Biomass Conversion Processes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.