Joint resource optimization algorithm based on queue stability

Abstract

To achieve the dynamic allocation of multiple resources and improve the resource utilization with ensuring the queue stability, the paper proposes a joint resource optimization algorithm based on queue stability in wireless virtualized networks. Considering the cache resource constraints and different pricing mechanisms for each virtual operator, the algorithm allocates multiple virtual resources as a joint optimization problem, and establishes a utility function aiming at maximizing the profit of virtual operators. Secondly, based on the data volume, a distributed scheduling algorithm is designed to balance the optimality of the virtual network revenue and the stability of the system queue through Lyapunov stochastic optimization. Finally, the Lagrange duality theory is used to solve the model. The simulation results show that the proposed method can effectively improve the total average revenue of virtual network while guaranteeing the queue stability.

Keywords

• wireless virtualized networks
• joint optimization
• Lyapunov
• queue stability
• network utility