Simulated annealing based resource allocation for cloud data centers

Authors:
Wenbo Wang;Xiaolin Chang;Jiqiang Liu;Bin Wang
Affiliations:
Beijing Jiaotong University, Beijing, China;Beijing Jiaotong University, Beijing, China;Beijing Jiaotong University, Beijing, China;Beijing Jiaotong University, Beijing, China
Venue:
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Year:
2013

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Abstract

Network virtualization technology can be applied to provide the performance guarantee by creating a virtual network for running the user application. One of the most important issues in the network virtualization is the virtual network embedding (VNE) problem, which deals with the efficient allocation of physical resources in the cloud data center to virtual networks. In this paper, we investigate the ability of simulated annealing technique in handling the VNE problem. The simulation results show that SA technique outperforms both genetic algorithm and particles swarm optimization techniques in handling the cost-aware VNE problem.