Enhancing resource allocation for application deployment

A computer-implemented method, comprising:

• collecting, by a computer infrastructure system, historical provision data for one or more racks, each rack of the one or more racks being associated with one or more servers that provisioned a cloud application, and the historical provision data including at least one allocation of a resource to one or more virtual machines used to run an instance of the cloud application;
• analyzing the historical provisioning data using one or more machine-learning techniques;
• generating, based at least in part on the analyzing, one or more models that represent a resource usage characteristic of the at least one allocation of the resource to the one or more virtual machines, the resource usage characteristic simulating one or more possible configurations of a virtual machine;
• receiving a request for the computer infrastructure system to provision a new instance of the cloud application;
• determining a set of virtual machines for the new instance of the cloud application, the set of virtual machines being determined based at least in part on the request;
• selecting a rack from a plurality of racks, the selected rack being configured to run the new instance of the cloud application, the selected rack corresponding to a set of servers, and each server of the set of servers being associated with a resource;
• executing a placement protocol for the selected rack, the placement protocol using the one or more models to map each virtual machine of the set of virtual machines to a server of the set of servers, and the mapping causing at least a portion of the resource to be allocated to each virtual machine of the set of virtual machines;
• and
• provisioning the new instance of the cloud application using the set of virtual machines.

A system, comprising:

• one or more data processors;
• and
• a non-transitory computer-readable storage medium containing instructions which, when executed on the one or more data processors, cause the one or more data processors to perform operations including:
• collecting, by a computer infrastructure system, historical provision data for one or more racks, each rack of the one or more racks being associated with one or more servers that provisioned a cloud application, the historical provision data including at least one allocation of a resource to one or more virtual machines used to run an instance of the cloud application;
• analyzing the historical provisioning data using one or more machine-learning techniques;
• generating, based at least in part on the analyzing, one or more models that represent a resource usage characteristic of the at least one allocation of the resource to the one or more virtual machines, the resource usage characteristic simulating one or more possible configurations of a virtual machine;
• receiving a request for the computer infrastructure system to provision a new instance of the cloud application;
• determining a set of virtual machines for the new instance of the cloud application, the set of virtual machines being determined based at least in part on the request;
• selecting a rack from a plurality of racks, the selected rack being configured to run the new instance of the cloud application, the selected rack corresponding to a set of servers, and each server of the set of servers being associated with a resource;
• executing a placement protocol for the selected rack, the placement protocol using the one or more models to map each virtual machine of the set of virtual machines to a server of the set of servers, and the mapping causing at least a portion of the resource to be allocated to each virtual machine of the set of virtual machines;
• and
• provisioning the new instance of the cloud application using the set of virtual machines.