Abstract: A system for dynamically auto-scaling allocated capacity of a virtual desktop environment includes: base capacity resources and burst capacity resources and memory coupled to a controller; wherein, in response to executing program instructions, the controller is configured to: in response to receiving a log in request from a first user device, connect the first user device to a first host pool to which the first device user is assigned; execute a load-balancing module to determine a first session host virtual machine to which to connect the first user device; and execute an auto-scaling module comprising a user-selectable auto-scaling trigger and a user-selectable conditional auto-scaling action, wherein, in response to recognition of the conditional auto-scaling action, the controller powers on or powers off one or more base capacity resources or creates or destroys one or more burst capacity resources.

Abstract: A system for dynamically auto-scaling allocated capacity of a virtual desktop environment includes: base capacity resources and burst capacity resources and memory coupled to a controller; wherein, in response to executing program instructions, the controller is configured to: in response to receiving a log in request from a first user device, connect the first user device to a first host pool to which the first device user is assigned; execute a load-balancing module to determine a first session host virtual machine to which to connect the first user device; and execute an auto-scaling module comprising a user-selectable auto-scaling trigger and a user-selectable conditional auto-scaling action, wherein, in response to recognition of the conditional auto-scaling action, the controller powers on or powers off one or more base capacity resources or creates or destroys one or more burst capacity resources.

Abstract: The present disclosure provides a scalable, standardized IT deployment environment that allows for deployment to any public or private cloud automatically, and without human interaction, that is resizable such that the individual resources can be released (“turned off”) when not needed and powered on when use is expected. Additionally, the present disclosure provides a cost calculation system for better understanding the costs of the IT environment as early as the pre-provisioning stage. The present disclosure also provides a system for proactively testing productivity and efficiency within the IT environment, the results of which can be fed back into the autoscaling mechanism.

Abstract: The present disclosure provides a scalable, standardized IT deployment environment that allows for deployment to any public or private cloud automatically, and without human interaction, that is resizable such that the individual resources can be released (“turned off”) when not needed and powered on when use is expected. Additionally, the present disclosure provides a cost calculation system for better understanding the costs of the IT environment as early as the pre-provisioning stage. The present disclosure also provides a system for proactively testing productivity and efficiency within the IT environment, the results of which can be fed back into the autoscaling mechanism.

Abstract: The present disclosure provides a scalable, standardized IT deployment environment that allows for deployment to any public or private cloud automatically, and without human interaction, that is resizable such that the individual resources can be released (“turned off”) when not needed and powered on when use is expected. Additionally, the present disclosure provides a cost calculation system for better understanding the costs of the IT environment as early as the pre-provisioning stage. The present disclosure also provides a system for proactively testing productivity and efficiency within the IT environment, the results of which can be fed back into the autoscaling mechanism.