Citrix Systems, Inc.

William Deforeest

Michael Kevin Larkin

Shashikiran Uli

Thomas Portegys

A method and system for updating a collection of software resources in a virtual desktop infrastructure system. Virtual machines associated with sets of virtual disk elements in a hierarchy of disk layers, such as basic, department, or user virtual disks are offered updates for one or more available software resources. Updates available for deployment in the virtual desktop infrastructure system are recorded in a database by a controller server. The controller server takes an inventory of all the virtual machines associated with each disk layer in the hierarchy of disk layers on which to apply the available updates. The controller server applies the one or more updates to the identified virtual machines, and stores the update application results in a database. The controller server may apply the one or more updates to virtual machines associated with descendant disk layers in the hierarchy of disk layers in view of previous applications of the updates.

System updates with personal virtual disks

Systems and methods are disclosed for using machine learning (e.g., neural networks and/or combinatorial learning) to solve the non-linear problem of predicting the provisioning of a server farm (e.g., cloud resources). The machine learning may be performed using commercially available products, such as the SNNS product from The University of Stuttgard of Germany. The system, which includes a neural network for machine learning, is provided with an identification of inputs and outputs to track, and the system provides correlations between those. Rather than static rules, the machine learning provides dynamic provisioning recommendations with corresponding confidence scores. Based on the data collected/measured by the neural network, the provisioning recommendations will change as well as the confidence scores.

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Snohomish, WA, United States of America

William Deforeest