Abstract: Disclosed are various embodiments for virtual desktop infrastructure optimization. A computing device can create a plurality of predictions for future demand for the VDI, each of the plurality of predictions using a respective one of a plurality of resource models, each representing a separate approach to predict future demand for the VDI. Then, the computing device can calculate a plurality of anticipated resource costs, each of the plurality of anticipated resource costs being based at least in part on a respective one of the plurality of predictions for future demand for the VDI. Moreover, the computing device can include, within a user interface, the plurality of predictions for future demand and the plurality of anticipated resource costs. Then, the computing device can implement a resource model from the plurality of resource models to manage an allocation of resources for the VDI in response to a selection of the resource model through the user interface.

Abstract: Systems and methods are provided for grouping remote desktop sessions on servers in remote desktop environments according to predicted user logoff times so that sessions with similar predicted logoff times can be placed together on the servers, allowing for more efficient utilization of servers. A user can request a virtual desktop session. Once the request is received, a predicted logoff time for the session can be determined and the session can be placed on one of available host servers based on the predicted logoff time. Different logoff time ranges can be assigned to different servers and sessions can be grouped on the servers according to predicted logoff time.