Authors : P. Durgadevi and S. Srinivasan
Abstract: The fundamental motive of the resource allocation is to allot the available resource in the most effective manner. It represents the programming of tasks and the resources essential to carryout them, simultaneous taking extreme care with regard to the available resource and the time frame. The vital motive of this investigation is to design a technique for optimal resource discovery and dynamic resource allocation. The innovative technique encompasses two stages such as the resource discovery and resource allocation. For resource discovery the innovative technique utilizes the Modified Hierarchal Agglomerative Clustering Algorithm (MHAC). Based on the MHAC algorithm the suggested tree construction is produced. Thereafter the resources are allocated by the hybrid optimization technique. In the innovative technique, we utilize the Hybrid Artificial Bee Colony and Cuckoo Search algorithm (HABCCS). Here, the artificial bee colony is used to optimize the tree construction path and the cuckoo search is utilized to modify the artificial bee colony algorithm. The optimal path choice is the consequence of the hybrid optimization approach. The new-fangled technique allocates the available resource based on the optimal path.
P. Durgadevi and S. Srinivasan, 2016. Optimal Resource Discovery and Dynamic Resource Allocation Using Modified Hierarchal Agglomerative Clustering Algorithm and Bi-Objective Hybrid Optimization Algorithm. Asian Journal of Information Technology, 15: 4464-4474.