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Cloud computing gives beneficial services to share large scale of information, storage resources, computing resources, and knowledge for research. Cloud users deploy their own applications and related data on a pay-as-you-go basis. virtual machines (VMs) usually host these data-intensive applications. The performance of these applications often depends on workload types I/O data-intensive or I/O computation, workload volume, CPU attributes on computing nodes CNs, the VMs number on the same CN and network status between storage nodes SNs and CNs. Therefore, the application jobs in the workload have different completion times based on the VM placement decision and large data retrieval. To gain high performance for the overall jobs' completion time and maximizing the throughput of cloud links, we propose VMs placement that considers both computation resources and I/O data. The aim of this …