Dell Products Inc.

Emc IP Holding Company LLC

Wyse Technology L.l.c.

John Kelly

Dharmesh M Patel

Yinglong Jiang

Nicholas Chase Busick

Balasubramanian Chandrasekaran

Ed Alessio

Daniel Lawrence Hamlin

Ricardo Luis Martinez

Munif Farhan

Charles G Morton

A method for managing a virtual desktop infrastructure (VDI) environment includes: obtaining a plurality of target resource specific pool specific configuration templates for a target resource, in which each of the plurality of target resource specific pool specific configuration templates is associated with one or a plurality of virtual desktop (VD) pools, in which the target resource is a central processing unit (CPU); obtaining a common configuration template set; generating a VD pool configuration for each of the plurality of VD pools using the plurality of target resource specific pool specific configuration templates and the common configuration template set to obtain a plurality of VD pool configurations; selecting a default VD pool from the plurality of VD pools; and deploying, based on the selection, a plurality of VDs into the default VD pool using a VD pool configuration associated with the default VD pool.

Method and system for a common-attribute virtual desktop infrastructure (VDI) environment with tiered central processing unit (CPU) capabilities

A method for managing a VDI environment includes: obtaining a plurality of target resource specific pool specific configuration templates for a target resource, in which each of the plurality of target resource specific pool specific configuration templates is associated with one or a plurality of VD pools, in which the target resource is a GPU; obtaining a common configuration template set; generating a VD pool configuration for each of the plurality of VD pools using the plurality of target resource specific pool specific configuration templates and the common configuration template set to obtain a plurality of VD pool configurations; selecting a default VD pool from the plurality of VD pools; and deploying, based on the selection, a plurality of VDs into the default VD pool using a VD pool configuration associated with the default VD pool.

Method and system for a common-attribute virtual desktop infrastructure (VDI) environment with tiered graphics processing unit (GPU) capabilities

A method for managing selection of an inferencing workload placement based on security considerations includes obtaining, by a variant selection agent of a workload placement service and from a front-end device, a request for an inferencing payload associated with an inferencing workload implementing a generative artificial intelligence (AI) model, and in response to the request: performing a payload classification on the request to determine a variant selection for the inferencing workload, making a determination that the variant selection is a secured variant, in response to the determination, transmitting the request to the secured variant, wherein the secured variant executes an instance of the inferencing workload on a secured production environment, obtaining, from the secured variant, the inferencing payload, and providing the inferencing payload to the front-end device.

Security-based artificial intelligence workload allocation in a heterogeneous environment

A system for managing of a security based inferencing workload placement includes a security a variant selection agent, production environments, and a front-end device that includes a security variant initial agent. The security variant initial agent is programmed to: obtain a request for an inferencing payload for an artificial intelligence (AI) model, wherein the request comprises a prompt for the AI model generated by the user, in response to the request: perform an initial classification analysis on the request to obtain a classification-eligible tag for the request, make a first determination, based on the classification-eligible tag, that the request is classification-eligible, based on the first determination, transmit the request to the workload placement service for a variant selection operation.

Front-end environment enforcement of security-based artificial intelligence workload allocation

A method for managing virtual desktop infrastructure (VDI) environments includes: obtaining, by an orchestrator, a resource related parameter and a security related parameter; assembling, by the orchestrator, an application programming interface (API) combination to generate a VDI environment based on a plurality of vendor-provided APIs; testing, by the orchestrator and for a vulnerability result, the VDI environment across a range of users based on the resource related parameter and security related parameter; providing, by the orchestrator, the range of users and VDI environment to an analyzer, in which the analyzer is instructed by the orchestrator to generate a model that minimizes the vulnerability result of the VDI environment; generating, by the analyzer, a trained model by training the model using at least the range of users, VDI environment, security related parameter, resource related parameter, and vulnerability result; and initiating, by the analyzer, notification of an administrator about the trained model.

Method and system for security-based flex on demand in a multi application programming interface (API) virtual desktop infrastructure (VDI) environment

A method for managing virtual desktop management placement comprises obtaining, by a virtual desktop management placement service, a request for assigning a virtual desktop service manager to one of a plurality of management environments based on a security profile of the management environment, in response to the request: performing a security profile analysis on the plurality of management environments to assign a management environment to implement the virtual desktop service manager, and initiating a deployment of the virtual desktop service manager on the management environment based on the security profile analysis.

Method and system for virtual desktop service manager placement based on security profiles

A method for managing specialized hardware resources includes obtaining, by a multi-scheme virtual allocation agent, a request for allocating a plurality of virtual resources to the specialized hardware resources in an information handling system, wherein the request specifies a first scheme of allocation, wherein the information handling system operates in a second scheme of allocation that is different from the first scheme of allocation, in response to the request: installing a first virtual resource of the plurality of virtual resources on a first specialized hardware resource of the specialized hardware resources, performing a dummy virtual resource installation to install a plurality of dummy variables based on the second scheme, installing a second virtual resource of the plurality of virtual resources on a second specialized hardware resource of the specialized hardware resources based on the second scheme, and deleting the plurality of dummy virtual resources from the hardware resources.

System and method for multi-scheme allocation of virtual resources in an information handling system

A method for managing a virtual desktop infrastructure (VDI) environment includes: obtaining a plurality of target resource specific pool specific configuration templates for a target resource, in which each of the plurality of target resource specific pool specific configuration templates is associated with one or a plurality of virtual desktop (VD) pools, in which the target resource is a data processing unit (DPU); obtaining a common configuration template set; generating a VD pool configuration for each of the plurality of VD pools using the plurality of target resource specific pool specific configuration templates and the common configuration template set to obtain a plurality of VD pool configurations; selecting a default VD pool from the plurality of VD pools; and deploying, based on the selection, a plurality of VDs into the default VD pool using a VD pool configuration associated with the default VD pool.

Method and system for a common-attribute virtual desktop infrastructure (VDI) environment with tiered data processing unit (DPU) capabilities

Techniques described herein relate to systems and methods for data processing unit (DPU) workload management. Such methods may include obtaining, by a DPU workload manager, a DPU utilization value for a first node in a device ecosystem; making a first determination, by the DPU workload manager and using the DPU utilization value, that DPU utilization of the first node is above a DPU utilization threshold configured for the first node; identifying, in response to the first determination, a workload executing on the first node as a migration candidate based at least in part on a central processing unit (CPU) utilization value associated with the workload; initiating a migration of the migration candidate to a second node in the device ecosystem; and obtaining, after the migration completes, a second DPU utilization value for the first node to determine whether the second DPU utilization value is below the DPU utilization threshold.

Systems and methods for data processing unit aware workload migration in a virtualized datacenter environment

An edge device for distributed processing of unprocessed edge data from any number of edge data collection devices using an analytics framework includes a storage device for storing the unprocessed edge data; and a processor. The processor obtains the unprocessed edge data from an edge data collection device of the edge data collection devices; identifying a processing modality for the unprocessed edge data; processing the unprocessed edge data based on the processing modality using, at least in part, a virtualized desktop infrastructure connection between the edge device and a backend device operably connected to the analytics framework to obtain a processed edge data result; and providing a computer implemented service using the processed edge data result.

System and method for edge analytics in a virtual desktop environment

An infrastructure manager for placing workloads for performance across available infrastructure including on-demand infrastructure and dedicated infrastructure includes a storage device for storing an available infrastructure repository and a processor. The processor obtains a workload placement request for a workload of the workloads; makes a determination that the workload has a special purpose hardware requirement; in response to the determination: identifies, using the available infrastructure repository, potential placement locations in the available infrastructure for the workload that each meet the special purpose hardware requirement; and places the workload at one of the potential placement locations.

Workload placement based on special purpose accelerator requirements and performance metrics

A method for managing specialized hardware resources includes obtaining, by a disaster recovery (DR) virtual resource agent, a request for a DR environment for a set of virtual resources in a primary site, in response to the request: monitoring the primary site to obtain virtual workload information corresponding to the set of virtual resources, performing a workload analysis on the set of virtual resources in the primary site using the virtual workload information to obtain a virtual resource mapping of each virtual resource in the primary site to a tiered component in the DR environment, and initiating a DR environment allocation of DR virtual resources based on the virtual resource mapping.

System and method for a disaster recovery environment tiering component mapping for a primary site

A graphics processing management system includes a virtual machine coupled to client devices and a graphics processing system including graphics processing device(s). A graphics processing management subsystem is coupled to the virtual machine system and the client devices, and operates to monitor a usage of the graphics processing device(s) via the virtual machine system by a first client device. The graphics processing management subsystem then uses a graphics processing usage class equation to determine that feature(s) of the usage of the graphics processing device(s) by the first client device identifies a first graphics processing usage class. Based on determining that the usage of the graphics processing device(s) by the first client device identifies the first graphics processing usage class, the graphics processing management subsystem then performs a usage action with the first user that is associated with the first client device.

Graphics processing management system

A method for managing virtual desktop infrastructure (VDI) environments includes: obtaining, by an orchestrator, a resource related parameter (RRP) and a service level agreement related parameter (SLARP); assembling, by the orchestrator, an application programming interface (API) combination to generate a VDI environment based on vendor-provided APIs; testing, by the orchestrator and for an SLA adherence result (SLAAR), the VDI environment across a range of users based on the RRP and SLARP; providing, by the orchestrator, the range of users and VDI environment to an analyzer, in which the analyzer is instructed to generate a model that maximizes the SLAAR of the VDI environment; generating, by the analyzer, a trained model by training the model using at least the range of users, VDI environment, SLARP, RRP, and SLAAR; and initiating, by the analyzer, notification of an administrator about the trained model.

Method and system for SLA/QoS adherence-based flex on demand in a multi-API virtual desktop infrastructure (VDI) environment

Presented herein are embodiments for automating analytics-based migration of virtual machine optimization tool settings to different hypervisor environments. Currently, no marketplace workload migration utilities have previously dealt with this scenario. In one or more embodiments, a system gathers data and uses analytics on the data to devise one or more translation/correlation rules or models for virtual machine migration. In one or more embodiments, using historical manually settings, correlations can be determined. Given data about a source guest operating system (OS) tool settings, one or more translation/correlation models may be used to facilitate the translation of guest OS optimization tool settings from the source environment to the destination environment so that migrated virtual machine functions the same as or nearly the same as it did on the source hypervisor.

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Mallow, Ireland

John Kelly