Paper Title

Optimizing Resource Allocation Strategies in Distributed Cloud Computing Systems for Enterprise Applications

Authors

Profile picture of ijrcait ijrcait
ijrcait ijrcait
Profile picture of Brooklyn Antoine
Brooklyn Antoine

Keywords

  • distributed cloud
  • enterprise computing
  • resource optimization
  • virtualization
  • load balancing
  • task scheduling

Journal

QIT Press - International Journal of Cloud Computing External link

Publication Info

Volume: 4 | Issue: 1 | Pages: 1-7

Published On

March, 2025

Downloads

PDF icon FULL PDF
CITATION
COPY LINK

Abstract

In the evolving landscape of cloud computing, optimizing resource allocation in distributed systems is crucial for enhancing enterprise application performance. As demands for scalability, cost-efficiency, and agility grow, strategic orchestration of resources becomes essential. This paper presents an exploration of pre-2020 methods, models, and strategies used to optimize distributed cloud infrastructures for enterprise use. Emphasis is placed on heuristic algorithms, virtualization, load balancing, and predictive analytics. Additionally, we present performance trends and tabulated comparisons to support critical insight into their practical relevance and limitations.

View more »

Uploaded Document Preview