Skip to content

alisamali-edu/AI-For-Cloud-Resource-Optimization-Book

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 

Repository files navigation

Intelligent Resource Optimization in Cloud Computing Using Artificial Intelligence

Author: Ali Samali
Publication Year: 2025
ISBN: 978-622-88253-5-9
Language: Original book in Persian – This repository provides an English academic summary.


Overview

This book presents a structured academic study on how Artificial Intelligence (AI) can improve resource management and performance optimization in cloud computing environments.

It focuses on practical AI-based solutions for dynamic resource allocation, workload prediction, auto-scaling, and cost optimization in modern cloud infrastructures.


Main Topics Covered

  • Cloud service models (IaaS, PaaS, SaaS)
  • Virtualization and containerization
  • Load balancing and elasticity
  • Machine learning for workload prediction
  • Reinforcement learning for adaptive scaling
  • Genetic algorithms and swarm intelligence
  • Energy efficiency in data centers
  • Multi-cloud and edge computing optimization

Academic Contribution

The book provides:

  • A clear explanation of AI methods for cloud resource optimization
  • Practical discussion of deployment challenges
  • Analysis of cost, scalability, and performance trade-offs

It is designed for researchers, cloud engineers, DevOps professionals, and IT managers.


Repository Content

Full Persian version is officially published with ISBN.


Citation

Samali, A. (2025). Intelligent Resource Optimization in Cloud Computing Using Artificial Intelligence. Ettela’at Negar Publishing.


Contact

For academic or professional collaboration, please connect via LinkedIn or GitHub.

About

English academic summary of the Persian book “AI for Cloud Resource Optimization” (ISBN: 978-622-88253-5-9).

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors