How Machine Learning Enhances Cloud Resource Allocation

EasyChair Preprint 15444

Abstract

As businesses increasingly adopt cloud computing, the efficient management of resources becomes paramount. Traditional resource allocation methods often fall short in addressing the dynamic demands of modern applications, leading to inefficiencies and inflated costs. This is where machine learning (ML) plays a transformative role. By leveraging advanced algorithms and data analytics, ML enhances cloud resource allocation, resulting in cost reductions, improved performance, and scalability. This article explores the fundamental principles of ML in cloud environments, highlighting its techniques, real-world applications, and future trends, while also addressing the challenges associated with its implementation.

Keyphrases: Cloud, Enhances, learning, machine, resource

@booklet{EasyChair:15444,
  author    = {Kenny Hawkent},
  title     = {How Machine Learning Enhances Cloud Resource Allocation},
  howpublished = {EasyChair Preprint 15444},
  year      = {EasyChair, 2024}}