Automated virtual subnet delegation in a cloud environment

A method, comprising:

• accessing, by a system comprising at least one processor, a data structure representing a virtual internet protocol (IP) address space enabled using network equipment associated with a cloud provider and allocated subnets of the virtual IP address space, wherein the virtual IP address space defines a group of IP addresses, and wherein the allocated subnets are allocated respective subnet ranges of IP addresses of the group of IP addresses of the virtual IP address space;
• receiving, by the system, a request for subnet range allocation within the virtual IP address space, the request associated with input data corresponding to variable request parameter data, wherein the input data specifies user defined application parameters for a requested subnet in terms other than a specific size of the requested subnet;
• determining, by the system, using a machine learning model, based on the input data, an optimal size of the requested subnet to satisfy the user defined application parameters in accordance with an optimization objective, and a subnet range of IP addresses of the group of IP addresses of the virtual IP address space to allocate that meets the optimal size and minimizes fragmentation of the virtual IP address space;
• creating, by the system, the subnet comprising the subnet range of IP addresses;
• obtaining, by the system, an identifier for the requested subnet;
• and
• returning, by the system, the identifier of the requested subnet in response to the request.

A non-transitory machine-readable medium, comprising executable instructions that, when executed by at least one processor, facilitate performance of operations, the operations comprising:

• accessing a data structure representing a virtual internet protocol (IP) address space associated with a cloud provider and allocated subnets of the virtual IP address space, wherein the virtual IP address space defines a group of IP addresses, and wherein the allocated subnets are allocated respective subnet ranges of IP addresses of the virtual IP address space;
• receiving a request for subnet range allocation with respect to the virtual IP address space, the request associated with input data corresponding to variable request parameter data, wherein the input data specifies user defined application needs for a requested subnet in terms other than a specific size of the requested subnet;
• determining, using a machine learning model, based on the input data, an optimal size of the requested subnet to satisfy the user defined application needs with respect to an optimization objective, and a subnet range of IP addresses of the group of IP addresses of the virtual IP address space to allocate that has been determined to satisfy the optimal size and minimizes fragmentation of the virtual IP address space;
• creating the subnet comprising the subnet range of IP addresses;
• obtaining an identifier for the requested subnet;
• and
• returning the identifier of the requested subnet in response to the request.