Abstract: 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.

Abstract: A peripheral device workspace cloud orchestrator executing on a server comprises a network interface device to receive an operational telemetry data reading indicating communication port functional capabilities for each communication port at an anchor information handling system node and for peripheral device nodes that have been previously operatively coupled to the anchor information handling system node at a location to form a defined peripheral device workspace identified by a peripheral device workspace identification value, and a hardware processor executing code instructions to identify an available port for communication via a communication protocol and identify its power delivery capabilities based on the operational telemetry data reading that is available for coupling with a new peripheral device, and to recommend that a user purchase the new peripheral device selected from a product purchase platform that can be met by the power delivery capability and communication protocol capabilities for the a

Abstract: A peripheral device workspace cloud orchestrator information handling system comprises a network interface device to receive maximum and current hardware resource availabilities and for a first anchor information handling system node and other peripheral device nodes operatively coupled at an identified location to form a defined peripheral device workspace that also includes a second information handling system node or a smart peripheral device node, and a hardware processor to execute code instructions to determine a ranking score for the first and second information handling systems, and smart peripheral device, based on the maximum and current hardware resource availabilities to determine which one of the second information handling system or the smart peripheral device associated with a highest ranking score is to transition to implement transmitted peripheral device operational configuration policies or firmware or software updates at each of the plurality of peripheral devices.

Abstract: 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.

Abstract: A peripheral device workspace cloud orchestrator information handling system comprises a network interface device to receive functional capabilities for an existing peripheral device previously operatively coupled by a user to a user information handling system anchor node for a peripheral device workspace defined by a manifest of included peripheral device nodes, location, and peripheral device workspace identification value, and a user composite peripheral device workspace identifier associated with an adjustable operational configuration instructing the existing peripheral device operation, a hardware processor to execute code instructions to identify new peripheral device capabilities within a received new device orchestrated device descriptor for a new peripheral device operatively coupled to the anchor node, determine a minimum percentage of the new peripheral device capabilities matches the existing functional capabilities, and instruct the anchor node to configure the new peripheral device according t

Abstract: 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 dev

Abstract: A peripheral device workspace cloud orchestrator may comprise a network interface device to receive telemetry readings describing a current usage pattern for an information handling system, available communication protocols at a location for linking the information handling system and a peripheral device, and communication protocol-dependent functional capabilities for the peripheral device operatively coupled to the information handling system at the location to form a peripheral device workspace, and a hardware processor to execute code instructions for the peripheral device workspace cloud orchestrator to instruct the information handling system to operatively couple to the peripheral device using a best-suited communication protocol for selected performance from communication protocol-dependent functional capability data for the peripheral device under the current usage pattern for executing software application on an anchor information handling system node or peripheral device workspace environmental tel

Abstract: 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.

Abstract: A peripheral device workspace cloud orchestrator server includes a hardware processor, a power management unit to provide power to the hardware processor and memory device, and a network interface device to receive detected peripheral device enrollment data describing an introduced peripheral device node that has requested to be operatively coupled to an anchor information handling system node within a peripheral device workspace, the anchor information handling system node operatively coupled to the peripheral device workspace cloud orchestrator server and identified as being included within the peripheral device workspace. The hardware processor executed computer-readable program code of a node attestation service module to attest whether the introduced peripheral device node is a trusted node based on the received peripheral device enrollment data.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Allulose crystals are efficiently produced from an allulose syrup using seed crystals.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Allulose crystals are efficiently produced from an allulose syrup using seed crystals.

Abstract: 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.

Abstract: 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.

Abstract: Systems and methods for deploying software updates in heterogeneous workspace environments are described. The system for managing workspaces includes computer-executable instructions for obtaining multiple inventories corresponding to multiple workspaces of an IHS, wherein the inventories each include information associated with the applications deployed in its respective workspace. The instructions are further executed to, for each inventory, identify the workspace associated with the inventory, determine which of the applications are to be updated with new software, and deploy the determined new software to the identified workspace.