Abstract:
Techniques for managing software licensing cost information are disclosed. In one embodiment, license data including licensing cost information associated with a product may be obtained. A license key for the product may be generated by encrypting the license data using an encryption key. The license key and a decryption key may be provided to a management tool associated with a client device. The management tool may be enabled to decrypt the license key using the decryption key to track the licensing cost information associated with the product.
Abstract:
The disclosure presents methods and systems for determining cost allocation for logical containers run on a data-center infrastructure. In one aspect, for each resource allocated to one or more logical containers, a method calculates a resource allocation value for each of the one or more logical containers, the resource allocation value represents an amount of the resource allocated to the logical container. An allocated container cost is then calculated for each of the one or more logical containers based on the resource allocation value of each logical container. A cost of unused portions of the resource for each of the one or more logical containers is calculated based on the allocated container cost and the resource allocation value associated with each logical container. The resource allocation value, the allocated container cost, and the cost of unused portion of the resource are stored in one or more data-storage devices.
Abstract:
A process of obtaining, in effect, a multi-virtual-machine snapshot by taking a single-virtual-machine snapshot begins with creating, by a host hypervisor, a host virtual machine and a guest hypervisor. The guest hypervisor executes on the host virtual machine. Virtual machines to be included together in an effective multi-virtual-machine snapshot are migrated to the guest hypervisor. A single-virtual-machine snapshot is taken, by the host hypervisor, of the host virtual machine. The snapshot contains the state data for the virtual machines migrated to the guest hypervisor.
Abstract:
This disclosure presents computational systems and methods for calculating the cost of vCPUs from the cost of CPU computing cycles. In one aspect, a total number of computing cycles used by one or more virtual machines (“VMs”) is calculated based on utilization measurements of a multi-core processor for each VM over a period of time. The method also calculates a total number of virtual CPUs (“vCPUs”) used by the one or more VMs based on vCPU counts for each VM over the period of time. A cost per vCPU is calculated based on the total number of computing cycles, the total number of vCPUs, and cost per computing cycle. The cost per vCPU is stored in a data-storage device. The cost per vCPU can be used to calculate the cost of a VM that uses one or more of the vCPUs.