A solution of dynamic VMs placement problem for energy consumption optimization based on evolutionary game theory
The computational model of energy consumption is built to serve as an evaluation function. An algorithm based on evolutionary game theory is proposed to solve the problem of dynamic VMs placement. It is analyzed that the algorithm can theoretically reach the optimal solution of the dynamic VMs placement problem. The algorithm can take the initial mapping into account and generate an executable list of VMs live migrations from the initial state to the target state.
dynamic vms placement energy consumption evolutionary game theory