AN EFFICIENT RESOURCE ALLOCATION STRATEGY BASED ON IMPROVED PARTICLE SWARM OPTIMIZATION (IPSO)

Abstract

Resource allocation is a method that is deploy to allocate the accessible resource in a best way. It is the arrangement of activities and the resource needed by those activities while returns into consideration both the resource availability and the time. The proposed method discusses optimal resource discovery and dynamic resource allocation. The proposed method consists of two phases namely resource discovery and resource allocation. For resource discovery, the proposed method uses the Hierarchical Agglomerative Clustering Algorithm (HAC). Based on the HAC algorithm the proposed tree construction is generated. After that the resources are allocated by hybrid optimization algorithm. The proposed method use the Improved Particle Swarm Optimization and Cuckoo Search algorithm (IPSOCS).