Vmware, Inc.

Desktone, Inc.

Omnissa, LLC

Other

Desktonc, Inc.

Paul J Gaffney

Clinton B Battersby

Eric Y Pulier

James Snow

Kenneth N Ringdahl

Andrew W Hobgood

Kenneth Ringdahl

A virtual computing services deployment network provides a consistent user experience from a variety of locations via a connection fabric for accessing a virtual desktop. The connection fabric identifies a user profile defining the virtualized desktop resources required for a particular user. The connection fabric includes distributed data and processing in nodes distributed throughout a public access network accessible from a user access device. Each of the fabric nodes is operable to provide an identifier (such as an IP address) of a computing resource adapted to provide the user specific desktop. A user access device accesses a local fabric node in the connection fabric, and the fabric node determines a computing resource matching a user profile of expected computing resources. The fabric node associates the user access device with the computing resource and sends the user access device an identifier for directly accessing the computing resource.

Virtual computing services deployment network

A business method associates provisioning costs with a usage history indicative of user computing demand, and coalesces the cost data to identify an appropriate provisioning level balancing the provisioning cost and the usage demand cost. Conventional computing environments suffer from the shortcoming of being prone to overprovisioning or underprovisioning a user. Such misprovisioning is inefficient because it denotes underutilized computing resources or ineffective and/or disgruntled users. Costs increase either due to the excessive hardware bestowed on the overprovisioned user, or in support costs addressing the underprovisioned user. Configurations herein substantially overcome such shortcomings by defining a policy indicative of overprovisioning and underprovisioning indicators (misprovisioning flags), and defining rules to specify a triggering event indicating the need to reassess the provisioning of a user.

In a virtual computing environment, a virtual computing services deployment assigns a user to a computing class based on the expected resources that user will consume. A method includes defining computing classes and provisioning each user according to their assigned computing class. A portion of available resources are instantiated as a computing environment for the user based on the assigned computing class.

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A virtual computing services deployment network provides a consistent user experience from a variety of locations via a connection fabric for accessing a virtual desktop. The connection fabric identifies a user profile defining the virtualized desktop resources required for a particular user. The connection fabric includes distributed data and processing in nodes distributed throughout a public access network accessible from a user access device. Each of the fabric nodes is operable to provide an identifier (such as an IP address) of a computing resource adapted to provide the user specific desktop. A user access device accesses a local fabric node in the connection fabric, and the fabric node determines a computing resource matching a user profile of expected computing resources. The fabric node associates the user access device with the computing resource and sends the user access device an identifier for directly accessing the computing resource. The determined computing resource may be determined by a centralized virtual computing approach, thus providing appropriate scaling without significantly impacting the existing fabric.

A policy indicative of overprovisioning and underprovisioning indicators defining rules to specify a triggering event indicating the need to reassess the provisioning of a user. Such reprovisioning occurs automatically upon occurrences of predetermined events, and may even be undetectable to the user. Since the reprovisioning can either expand or contract the resources available to a particular user, users are matched to an optimal, or 'best fit' computational resource set to correspond to the demands of the particular user. Provisioning determining a class of the user, and is indicative of an expected resource load the user imposes. The provisioner continuously monitors usage imposed by the user to aggregate a user profile indicative of provisioning demands, automatically reevaluating the class based on the aggregated user profile according to predetermined events, and selectively reassigning the provisioning environment based on the reevaluation.

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Southborough, MA, United States of America

Paul J Gaffney