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Improving the deployment efficiency for large-scale cloud computing platforms is critical for the performance of IaaS (Infrastructure-as-a-Service) cloud, especially under heavy workloads and the ever-changing demands of the tenants. Most of the state-of-the-art automatic deployment mechanisms use a single NFS server as the image source node and deploy the application software on the physical clusters based on the “PXE+NFS”, which will suffers performance bottleneck and SpoF (Single point of Failure) problem. Some novel deployment mechanisms have also been proposed based on a storage network which consists of multiple NFS servers, however, they seldom consider the impact of storage network topologies on the performance of deployment processes. This paper focuses on optimizing the topologies of storage networks to improve the overall performance of the automatic deployment mechanisms. We formulate the throughput and deployment latency of a storage network under a specific topology, and then design a novel mechanism to optimize the topology of a specific storage network. Experimental results show that our mechanism improve the overall deployment latency on a specific physical cluster dramatically. Keywords-cloud computing; cluster; storage network; fast deployment

Optimal Construction of Stroage Clusters for the Deployment of Cloud Platforms