Mohammad Reza Ahmadi

A dynamic resource allocation method for virtual resources in virtualized data centers has been proposed in this paper. Since resource allocation with constraint in virtual environment is NP-hard, the solution has been focused on approximate methods based on immune system mechanism using agent based model and Cooperative Coevolutionary Algorithm (CoCo-VM) that appears to perform well in finding a plausible answer [۱]. The novelty of our approach lies in integrating an agent based greedy algorithm based on immune system functionality together with the cooperative co-evolutionary concept as an intelligent solution for virtual resource allocation in a large scale and distributed virtualized datacenters. Here, some mathematical analyses have been done to identify the parameters essential to assign a suggested allocation approach. Results of different evaluations in pure immune system (PIS)۰F ۱ and CoCo-VM methods demonstrate that, for the scenarios under consideration, the proposed resource allocation approach can significantly reduce resource consumption, increase number of successful services, and achieve higher performance.

Virtual resource allocation, cooperative co-evolutionary algorithm, immune system, agent-based greedy algorithm