Performance Analysis of Weighted Fair Queuing (WFQ) Scheduler Algorithm through Efficient Resource Allocation in Network Traffic Modeling
Abstract
Bursty traffic patterns require precise classification, modeling, and comprehension to ensure adequate resource allocation, improved network security, and Quality of Service (QoS) assurance. This study introduces a methodology integrating three critical correlation metrics with scheduler algorithms, demonstrating adaptability and improved network performance. Our approach highlights the handling of irregular patterns, contributing to the development of systems that can quickly adapt to changes, significantly enhancing network performance in the context of scheduler algorithms, resource allocation, correlation metrics, and bursty traffic.
Keywords
Quality of Service (QoS), scheduler algorithms, resource allocation, correlation metrics, bursty traffic
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
M. Mawlood and D. Mahmood, "Performance Analysis of Weighted Fair Queuing (WFQ) Scheduler Algorithm through Efficient Resource Allocation in Network Traffic Modeling," in Journal of Communications Software and Systems, vol. 20, no. 3, pp. 266-277, October 2024, doi: https://doi.org/10.24138/jcomss-2024-0009
@article{mawlood2024performanceanalysis,
author = {Mays A. Mawlood and Dhari Ali Mahmood},
title = {Performance Analysis of Weighted Fair Queuing (WFQ) Scheduler Algorithm through Efficient Resource Allocation in Network Traffic Modeling},
journal = {Journal of Communications Software and Systems},
month = {10},
year = {2024},
volume = {20},
number = {3},
pages = {266--277},
doi = {https://doi.org/10.24138/jcomss-2024-0009},
url = {https://doi.org/https://doi.org/10.24138/jcomss-2024-0009}
}