Dell Products Inc.

Rtscaleai Inc

Vivek Viswanathan Iyer

Gokul Thiruchengode Vajravel

Daniel Lawrence Hamlin

Michael S Gatson

Anantha K Boyapalle

Dileep Kumar Soma

Karthikeyan Krishnakumar

Philip M Seibert

Todd Erick Swierk

Minho Cheong

Shekar Babu Suryanarayana

Vivekanandh Narayanasamy Rajagopalan

Hana Schuster Smith

Balasingh Ponraj Samuel

Manuel Novoa

Kamal Joseph Koshy

Richard Christopher Thompson

Nikhil Manohar Vichare

Yagiz Can Yildiz

Harpreet S Narula

Loo Shing Tan

Ryan Nicholas Comer

Sumanth Vidyadhara

Srinivasa Ragavan Rajagopalan

Mark R Ligameri

Liam B Quinn

Michiel Sebastiaan Emanuel Petrus Knoppert

Timothy Carlyle Shaw

Allen Brian McKittrick

Charles Delbert Robison, Jr

Srinivasa Ragavan

Tyler Ryan Cox

Christopher A Torres

Ankit Kumar

Michael Wayne Arms

Spencer Grant Bull

Udaya Surendra Bendigeri

Chia Hung Shih

Stefan Peana

Srikanth Kondapi

Richard William Schuckle

Kai Wang

Michiel Knoppert

Kevin M Turchin

Peter A Walker

Douglas Jarrett Peeler

Benedict Tiong Chee Tay

Chien Yu Huang

Karthik Krishnakumar

Jake Mitchell Leland

Yung-Sheng Lin

Abhinav Gupta

Minhaj Ahmed

Mark John Law

Fnu Jasleen

Ruizhi Joyce Lu

Shubham Kumar

Uboho Thomas Victor

Larry Edward Knepper

Sajjad S Ahmed

Jonathan Sebastian Yarborough Wood

Cola Hung Shih

Li Weixian

Chia-Hung Shih

Nikhil Gudikandula

Gandali Patil

Jing Yuan Lin

Yi-Tsen Kao

Ajay Baburam Yadav

Justin Harbour

Su Hsuan Chu

Systems and methods for migration of workloads across cloud services based upon endpoint performance are described. In some embodiments, an endpoint Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: receive telemetry data indicative of a utilization of the IHS during execution of a workload by a first cloud service; determine a difference between a capability of the IHS and the utilization; and at least one of: (a) in response to the difference being greater than a first threshold, migrate the workload to a second cloud-based service with higher performance than the first cloud service; or (b) in response to the difference being smaller than a second threshold, migrate the workload to a third cloud-based service with lower performance than the first cloud service.

Migration of workloads across cloud services based upon endpoint performance

Systems and methods for providing intelligent workspace connection assistance are described. In an embodiment, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: enumerate a plurality of peripheral devices coupled to a plurality of ports of the IHS; identify a Key Performance Indicator (KPI) for each of the plurality of peripheral devices; weigh each of the KPIs by a corresponding value scaler; and calculate a connection recommendation for the plurality of peripheral devices based, at least in part, upon the weighed KPIs.

Intelligent workspace connection assistance

A system and method for a peripheral device workspace cloud orchestrator server to receive environmental telemetry data associated with a plurality of device nodes within a peripheral device workspace at a location that includes an anchor information handling system node with a hardware processor to execute computer-readable program code of a telemetry ownership orchestrator module to determine to offload a portion of environmental telemetry data collection and aggregation functions to be transitioned to a smart device node within the peripheral device workspace from the anchor information handling system node when a resource utilization level at the anchor information handling system node is determined to reach a utilization threshold, and transmitting instructions to the anchor information handling system node to offload the portion of environmental telemetry data collection and aggregation functions for a subset of the plurality of peripheral device nodes in the peripheral device workspace to the smart device node.

System and method for using intelligent staggered telemetry for node capabilities management across nodes in a peripheral device workspace

Shared hoteling workspaces and computer equipment are preconfigured based on location. A location associated with a mobile device is monitored. As the mobile device moves toward a workspace, computer equipment associated with the workspace are automatically preconfigured for use. Different configuration events and operational states may be implemented, based on a locational proximity of the mobile device to the workspace. When the mobile device arrives at the workspace, the mobile device has been automatically paired/registered with the computer equipment at the workspace. Moreover, when the location of the mobile device no longer matches the workspace, the network pairings/registrations may be automatically torn down and deleted, thus making the workspace available for a next occupant.

Proximity-based network registration

An information handling system node includes a hardware processor, a memory device, a power management unit with a peripheral device node operatively coupled to the information handling system node. The hardware processor may execute computer-readable program code of a custom event and device manageability service sub-agent to discover the peripheral device node operatively coupled to the information handling system node including a unique peripheral device identification (ID), request and receive, via a unified device application programming interface module, peripheral device capabilities and event IDs, where the event IDs describe custom events that are transmittable via any bus protocol from the peripheral device node, and register for custom event notifications with the peripheral device node by sending callback messages to the peripheral device node describing which custom events to receive custom event notifications about and setting custom event triggers that trigger the custom event notifications.

System and method for registering and relaying custom events and notices from node device to node device in peripheral device workspaces managed by a remote peripheral device cloud orchestrator server

Best known configurations for workspaces can be managed. Device groups can be defined based on functional roles or organizational departments. Each device group can be associated with a workspace along with a best known configuration for the workspace that is based on the device group. Workspaces can then be deployed to the end-user computing devices based on the device group to which each end-user computing device belongs and in accordance with the associated best known configuration.

Managing best known configurations for workspaces

A peripheral device workspace cloud orchestrator executing at a cloud-based information handling system comprises a hardware processor to execute code instructions to determine a usage category from operational telemetry data for a current peripheral device workspace having an anchor node and current peripheral devices operatively coupled at a location, the usage category defined by a previous peripheral device operational telemetry data, previous manifest of previous peripheral devices within a previous peripheral device workspace, and at least one previous functional capability and previous adjustable operational configuration of a previous peripheral device. The hardware processor to determine a functional capability for a current peripheral device sufficiently matches the previous functional capability for the usage category and instructs the anchor node to automatically configure the current peripheral device according to the previous adjustable operational configuration in that usage category.

System and method for intelligent transference of peripheral device operational configurations across peripheral device workspaces based on shared usage patterns

A peripheral device workspace cloud orchestrator server includes a hardware processor, a memory device, and a network interface device to receive operational capabilities and settings associated with a peripheral device node operatively coupled to an anchor information handling system node, the anchor information handling system node and peripheral device forming part of a collaborative peripheral device workspace to be registered with the peripheral device workspace cloud orchestrator server. The hardware processor executes a collaborative workspace orchestrator module to register the peripheral device node within the collaborative peripheral device workspace. The hardware processor executes computer code of mesh manager module to identify and create a mesh within the collaborative peripheral device workspace including the anchor information handling system node and registered peripheral device node in a mesh manifest, the mesh created based on the KPIs of the registered peripheral device and assigned a mesh ID value.

System and method for managing and orchestrating a collaboration peripheral device workspace with adaptive meshes

Embodiments of systems and methods for orchestrating the execution of Machine Learning (ML) workloads are described. In some embodiments, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: receive an indication of an ML workload to be executed by the IHS; and orchestrate execution of the ML workload with respect to a plurality of ML resources coupled to the IHS.

Orchestration of machine learning (ML) workloads

An illustrative, non-limiting method for resolving Region-On-Interest (ROI) overlaps includes receiving Simultaneous Localization and Mapping (SLAM) data obtained by a plurality of co-located Head-Mounted Devices (HMD), where the SLAM data comprises a plurality of landmarks and each HMD has an Information Handling System (IHS) in communication therewith. Each IHS may produce a subset of the plurality of landmarks based upon a respective HMD's SLAM data, and each IHS is: local with respect to the plurality of HMDs, at an edge of a network serving an HMD, or on a cloud. The method may include identifying an overlap between a first landmark produced by a first IHS and a second landmark produced by a second IHS, selecting between the first and second landmarks, at least in part, based upon the locations of the first and second IHSs, and rendering a map for display by a given HMD using the selected landmark.

Resolving region-of-interest (ROI) overlaps for distributed simultaneous localization and mapping (SLAM) in edge cloud architectures

Dependent containers can be managed based on context. When an application is deployed in a container and relies on a service or other resource external to the container, context about the container, the application and any data paths the container may require can be monitored and used to calculate a container instance weight, an application weight and a data path weight. Such weights can then be used to calculate a per container weight which in turn can be used to determine if any changes in container type or location may be more optimal for an application. Such weights can also be used to calculate a per solution weight which in turn can be used to determine if any changes in container type or location may be more optimal for a solution.

Managing dependent containers based on context

A workspace mesh can be managed. A mesh manager can interface with agents on smart devices to create and update nodes that may form part of a workspace mesh. The mesh manager can also automatically detect when multiple nodes have formed a workspace mesh and then dynamically select and apply mesh policies to the smart devices and peripherals in the workspace mesh. In this way, the workspace mesh can be managed as a single logical unit.

Managing a workspace mesh

Systems and methods for establishing and managing fast data channels among modern workspaces are described. In an embodiment, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: detect access by a first workspace and a second workspace to an IHS resource, and establish a fast data channel between the first and second workspaces, at least in part, based upon context information.

Systems and methods for establishing and managing fast data channels among modern workspaces

A host information handling system may aggregate a plurality of packets for transmission from the host information handling system to a plurality of client information handling systems. The host information handling system may then assign a priority value to each of the plurality of packets. The host information handling system may then determine that an aggregate size of the plurality of packets exceeds a threshold size. Based, at least in part, on the determination, the host information handling system may select a subset of the plurality of packets for transmission to the plurality of client information handling systems. The host information handling system may then transmit the selected subset of the plurality of packets to the plurality of client information handling systems.

Information handling system closed loop bandwidth prioritization

Embodiments of systems and methods for managing an Information Handling System (IHS) using a workspace orchestration system are described. In an illustrative, non-limiting embodiment, an IHS may include computer-executable instructions to, communicate with an operating system (OS) of the IHS to register for receiving one or more event messages, and communicate with the workspace to receive one or more event message subscriptions associated with an application configured in the workspace. The instructions are configured to store the one or more event message subscriptions at a specified location such that, when an event message is received from the OS, and when one the received event message comprises one of the event message subscriptions associated with the application, send the event message to the workspace.

Event management for a workspace orchestration system

Growing community of inventors

Austin, TX, United States of America

Vivek Viswanathan Iyer