Optimal VM placement for traffic scalability using Markov chain in cloud data centre networks
In cloud data centre networks, virtual machine (VM) placement can be investigated to tackle traffic scalability issue. In this Letter, by taking advantage of data centre network architecture, the authors formulate the traffic scalability issue as a combinatorial optimisation model of online VM placement with multi-dimensional resource constraints. By leveraging Markov approximation technique, the optimum is efficiently obtained. Performance evaluation demonstrates that the proposed method achieves significant traffic scalability improvement over two common heuristics.
