International Journal on Science and Technology

E-ISSN: 2229-7677   •   Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 16 Issue 2 April-June 2025 Submit your research before last 3 days of June to publish your research paper in the issue of April-June.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 16 Issue 2
2025

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

AI-Driven Self-Optimizing and Self-Replicating Cloud Architectures: Paving the Way for Autonomous, Efficient, and Scalable Cloud Systems

Author(s) Subhasis Kundu
Country United States
Abstract This study explores the transformative potential of AI-powered self-optimizing and self-replicating cloud architectures in the realm of cloud computing. It introduces an innovative method that combines machine-learning algorithms with autonomous resource management to create cloud systems that are both highly efficient and scalable. The proposed architecture leverages AI to continuously enhance resource allocation, forecast workload trends, and dynamically modify system settings. This study also presents the idea of self-replicating cloud ecosystems that can autonomously expand or contract in response to demand. The experimental findings demonstrated notable enhancements in energy efficiency, resource utilization, and overall system performance. This study examines the implications of this technology for sustainable computing and the future of cloud infrastructure, as well as the potential challenges and areas for further investigation.
Keywords AI-Driven Cloud, Self-Optimization, Self-Replication, Autonomous Systems, Resource Management, Scalability, Cloud Computing, Machine Learning, Predictive Analytics, Energy Efficiency
Field Engineering
Published In Volume 13, Issue 1, January-March 2022
Published On 2022-03-07
Cite This AI-Driven Self-Optimizing and Self-Replicating Cloud Architectures: Paving the Way for Autonomous, Efficient, and Scalable Cloud Systems - Subhasis Kundu - IJSAT Volume 13, Issue 1, January-March 2022. DOI 10.71097/IJSAT.v13.i1.2816
DOI https://doi.org/10.71097/IJSAT.v13.i1.2816
Short DOI https://doi.org/g899fq
View / Download PDF File

Share this



CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJSAT DOI prefix is
10.71097/IJSAT

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 15 Isu 4Cover Page Vol 15 Isu 3Cover Page Vol 15 Isu 2

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJSAT
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us Message on WhatsApp +91-9687-182-185 editor@ijsat.org