A Novel Hybrid Resource Allocation Scheme for Maximum Fairness Among Multiple Services

Abstract

A hybrid resource allocation scheme has been designed to maximize the fairness among multiple services. The algorithm developed is a combination of priority queuing and weighted fair queuing. At first, the optimum weight distribution to achieve maximum fairness has been obtained using particle swarm optimization. Later, the practical implementation of the real-time server has been done with two proposed methods, viz., regression analysis and lookup table search. The optimized results have been generated offline by the algorithm to be used later by the server, i.e., during real-time behavior. The algorithm serves as a general tool for resource allocation which can be applied in domains like telecommunication (radio resource management in BWA networks) or computer networks. Validation of the proposed allocation scheme is made for five services for WiMAX BWA networks.