3. Organization Virtual Datacenter Examples : 3.2 Reservation Pool Model : 3.2.2 Use Case
   
3.2.2 Use Case
A new customer known as Company2 is requesting resources on Company1’s vCloud and has asked the vCloud provider to obtain capacity in the Company1 vCloud. Company2 wants a model that provides the following:
*Defined memory and CPU resources that are consistent for billing. They have not yet determined the number of virtual machines they will have, but they want consistent billing.
*A dedicated pool of resources to distribute to virtual machines as they see fit when deploying workloads. Based on the initial pool of resources they request, Company1 will also apply a total virtual machine limit to the pool to help Company2 limit overcommitment.
*No fast provisioning, but thin provisioning is acceptable.
Settings can be adjusted as needed to meet the needs of Company2’s vApps.
Based on these requirements, the Reservation Pool model was chosen as the best fit to meet Company2’s needs. This model provides dedicated resources to start with, with control over resource allocation to the virtual machines from vCloud Director.
3.2.2.1. Assumptions
*Company1 has a single configured provider virtual datacenter. Storage performance is predetermined.
*Networking will be routed – vCloud Networking and Security gateways will be deployed and configured after the organization is configured.
*Customer will control and maintain the individual virtual machine resource configurations.
3.2.2.2. Organization Functional Requirements
*25GB of memory.
*25GHz of CPU.
*25 maximum virtual machines – determined by Company1 based on the organization sizing to prevent overcommitment.
*Personal control over the individual virtual machine resource configurations.
*No fast provisioning but thin provisioning enabled.
Based on the requirements, Company1 will use the following settings to configure the Company2’s organization.
Table 4. Company2 Reservation Pool Organization Settings
Parameter
Setting
CPU allocation
25GHz
Memory allocation
25GB
Maximum number of VMs
25