O2O-PLB: A One-to-One-Based Optimizer With Priority and Load Balancing Mechanism for Resource Allocation in Fog-Cloud Environments
In the era of the Internet of Things (IoT), Fog and Cloud computing have become critical frameworks for managing large-scale, distributed systems. However, the challenge of optimizing resource allocation remains significant, especially in dynamic and diverse environments. This paper presents O2O-PLB...
Saved in:
Main Authors: | V. C. Bharathi, S. Syed Abuthahir, Monelli Ayyavaraiah, G. Arunkumar, Usama Abdurrahman, Sardar Asad Ali Biabani |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10857275/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Study of Moving from Cloud Computing to Fog Computing
by: Hindreen Rashid Abdulqadir, et al.
Published: (2021-04-01) -
On Edge-Fog-Cloud Collaboration and Reaping Its Benefits: A Heterogeneous Multi-Tier Edge Computing Architecture
by: Niroshinie Fernando, et al.
Published: (2025-01-01) -
Energy-Efficient Distributed Edge Computing to Assist Dense Internet of Things
by: Sumaiah Algarni, et al.
Published: (2025-01-01) -
Multi-Tier Blockchain-Based Land Registry Using Fog Computing
by: Ashank Priyadarshi, et al.
Published: (2025-01-01) -
Network Usage and Time Efficient Performance Enhancement Model for IoT Applications in Fog Cloud Computing
by: Upma Arora, et al.
Published: (2025-04-01)