Economic-Driven Strategies for Virtual Machine Allocation in Cloud Data Center
In the cloud environment, applications have different requirements and priorities. These applications require the dynamic provision of resources into different types of virtual machines based on the priority requirements. In general, fixed price model is used for allocating the virtual machine to an end-user that may not support an optimal or economic-driven allocation. In this paper, we describe economic-driven techniques for VM allocation and classified these techniques based on specific characteristics required by VM in the cloud. We introduce technical debt as a novel approach for VM allocation and maps the concept of technical debt into the context of VM allocation. Furthermore, we discuss some critical situations that incurred technical debt while operating VMs in the cloud data center.
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