 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: March 2026
Volume 11 | Issue 3
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21665
Article Published : 8541
Total Authors : 22459
Total Reviewer : 811
Total Countries : 159
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Artificial Intelligence for Effective uses of Resources in Cloud Computing |
| Authors Name: | Dr. Abhilasha Dangi |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_204753
|
| Published Paper Id: | IJRTI2506116 |
| Published In: | Volume 10 Issue 6, June-2025 |
| DOI: | |
| Abstract: | Efficient resource management is an essential issue for cloud service providers. The infrastructure offered in cloud computing is flexible and scalable, however optimal resource allocation is still a concern in the presence of dynamic workloads. Over-provisioning leads to resource wastage, while under- allocating resources may lead to SLA violations. This paper explores the application of AI techniques, particularly machine learning algorithms, for optimal allocation of CPU, memory, and storage resources in the cloud. With Google Cluster Data set, we trained AI models to make predictions using Decision Trees, Random Forests, Multi-Layer Perceptron (MLP), and XG Boost. AI-based approaches improve resource allocation efficiency by as much as 46.2% and reduce SLA breaches by more than 60%, outperforming traditional approaches in a cost-efficient manner. The evidence presented proves the AI-based resource management approach not only improves utilization but also the overall operational efficiency of the system. |
| Keywords: | Artificial Intelligence, Cloud Computing, Machine Learning, Resource Allocation, Workload Prediction, Data Center Optimization, Google Cluster, SLA Management |
| Cite Article: | "Artificial Intelligence for Effective uses of Resources in Cloud Computing", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.b108-b112, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506116.pdf |
| Downloads: | 000428 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2506116
Registration ID:204753
Published In: Volume 10 Issue 6, June-2025
DOI (Digital Object Identifier):
Page No: b108-b112 Country: bhilwara , rajasthan, India Research Area: Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2506116 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2506116 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2026 - All Rights Reserved - IJRTI | |||