A Dynamic Resource Allocation Method for Virtual Data Center Resources Using CoCo-VM Approach

A dynamic resource allocation method for virtual resources in virtualized data centers has been proposedin this paper. since resource allocation with constraint in virtual environment is np-hard, the solution has beenfocused on approximate methods based on immune system mechanism using agent based model and cooperative coevolutionaryalgorithm(coco-vm)that appears to perform well in finding a plausible answer [1]. the novelty ofour approach lies in integrating an agent based greedy algorithm based on immune system functionality together withthe cooperative co-evolutionary concept as an intelligent solution for virtual resource allocation in a large scale anddistributed virtualized data centers. here, some mathematical analyses have been done to identify the parametersessential to assign a suggested allocation approach. results of different evaluations in pure immune system (pis)0f andcoco-vm methods demonstrate that, for the scenarios under consideration, the proposed resource allocationapproach can significantly reduce resource consumption, increase number of successful services, and achieve higherperformance.