Abstract: In a system for providing threat intelligence sharing including a plurality of edge nodes, each edge node may monitor a real-time data stream representing data being processed by the edge node. The edge node may identify a potential security threat indicated by at least a portion of the real-time data stream. In response to identifying the potential security threat, the edge may trigger an automated response action, and communicate a description of the identified potential security threat to the other edge nodes in the plurality of edge nodes.

Abstract: A system and a method for executing an update carbon dioxide (CO2) footprint optimization system for a client information handling system comprising a processor to gather telemetry describing power consumption and usage of hardware component resources during execution of a software application, to determine an execution CO2 emissions comparison index value describing a difference between CO2 emitted due to recent execution of the application relative to CO2 emitted due to the current execution at an optimal efficiency or due to a modelled, expected performance of the application after installation of an available update, and to determine an installation CO2 emissions comparison index value estimating CO2 emissions associated with an installation process of the available update. The system and method generating a user recommendation to delay installation of the update if the installation CO2 emissions comparison index value exceeds the execution CO2 emissions comparison index value to conserve CO2 emissions.

Abstract: An information handling system may include at least one processor and a network interface adapter. The information handling system may be configured to: couple to a plurality of client systems via the network interface adapter; implement a quality of service (QoS) policy for each client system; adjust the QoS policies based on predictions regarding resource utilization for resources of the information handling system and input/output (I/O) demands associated with each client system during specified time windows; and service requests from the client systems in accordance with the adjusted QoS policies.

Abstract: An idle plug and play port freezing and carbon dioxide (CO2) minimizing system executing on an information handling system may comprise a plug and play device controller, processor, or embedded controller executing code instructions of the idle plug and play port freezing and CO2 minimizing system to receive a notification that a user presence is not detected and to identify a first peripheral device port operably connected to a first peripheral device from among a plurality of peripheral device ports, where the first peripheral device port has an associated first peripheral device communications profile that indicates a status of push notifications enablement with the first peripheral device, and to cease power supply to the first peripheral device port in the absence of a read/write session currently executing on the peripheral device port and no push notifications enabled to decrease power consumption and CO2 emissions.

Abstract: A method for managing a production environment includes obtaining container information associated with application containers in the production environment, in response to the obtaining: performing an attributes analysis on a set of data attributes of the container information to obtain an initial container grouping, assigning, based on the attributes analysis, a set of migration sensitivity tags to each of the application containers, generating a migration strategy based on the set of migration sensitivity tags, and initiating a migration of at least a portion of the application containers based on the migration strategy.

Abstract: Techniques determining a data migration strategy in an edge network including a plurality of edge nodes is described. One example method includes determining a configuration for each of the plurality of edge nodes in the edge network; predicting a future workload associated with each of the plurality of edge nodes in the edge network based on an observed past workload for each of the plurality of edge nodes; receiving a migration request for a particular edge node in the plurality of edge nodes; and identifying a target edge node in the plurality of edge nodes that is suitable for handling the predicted future workload of the particular edge node, wherein the identifying is based at least in part on the determined configuration of the particular edge node and the target edge node, and on the predicted future workload of the particular edge node and the target edge node.

Abstract: A videoconferencing application carbon dioxide (CO2) emissions minimization system executing on a unified endpoint management platform information handling system may comprise a network interface device to receive operational telemetry measurements for a client information handling system, including power analytics, software application analytics, a geographic location, and a determined CO2 emissions value, a processor to determine a videoconferencing CO2 emissions value that exceeds a threshold value, based on the determined CO2 emissions value and power consumed during execution of a videoconferencing application at the client information handling system, the processor to identify a currently active, user-adjustable videoconferencing policy setting for the videoconferencing application, and the network interface device to transmit a recommended CO2 reduction instruction for display at the client information handling system to de-activate the user-adjustable videoconferencing policy setting to limit the vide

Abstract: A carbon dioxide (CO2) emissions state transition prediction system executing on a unified endpoint management platform information handling system may comprise a network interface device to receive operational telemetry measurements for a first client device during routine monitoring intervals, including a determined CO2 emissions value, and a non-eco-friendly state transition threshold determined for the first client device, a hardware processor to predict, via a neural network modeling relationships between changes in CO2 emissions values over a most recent monitoring period and changes in user-adjustable operational telemetry measurements over a prior monitoring period, that a future determined CO2 emissions value for the first client information handling system determined based on operational telemetry measurements recorded during the current routine monitoring interval will exceed the non-eco-friendly state transition threshold value, and the network interface device to transmit an indication for user d

Abstract: An Internet of Things (IoT) edge gateway device information handling system executing an IoT edge gateway device location optimization and carbon dioxide (CO2) minimization system may comprise a network interface device receiving, at an edge gateway initial location, power consumption analytics and locations of AP IoT servers transceiving IoT data with the IoT edge gateway in an enterprise wireless area network (WAN), a processor executing code instructions to determine an optimal location for the IoT edge gateway that reduces total estimated CO2 emissions during IoT data transmission between the AP IoT servers and the IoT edge gateway, based on the power consumption analytics and current locations of the AP IoT servers to a new optimal location in the enterprise WAN, and the network interface device transmitting an instruction to physically move the IoT edge gateway to the optimal geographic location to minimize CO2 emitted during transceiving of the IoT data.

Abstract: A carbon dioxide (CO2) emission tracking system operating on a client information handling system may include a processor, a network interface device, and a display to display a graphical user interface (GUI) to gather analytics for an executing software application hardware power consumption analytics, and a location for the client information handling system, the processor to receive from a Unified Endpoint Management (UEM) platform a distributed power CO2 emissions value estimating CO2 emission per Watt of power consumed at the location, determine a power CO2 emissions value estimating CO2 emitted during a measured consumption of power, based on the hardware power consumption analytics, determine an application CO2 emissions value estimating CO2 emitted by the software application during consumption of hardware resources contributing to the power CO2 emissions value, and display the power CO2 emissions value to provide a carbon footprint for computing activities of the client information handling system.

Abstract: A hardware right to repair prioritization system comprising a graphical user interface (GUI) to receive partial rankings of requirements for prioritizing an failing component replacement, where each requirement describes a characteristic having varied values across the failing components, a processor to generate a priority requirement ranking for all of the requirements, based on the partial rankings, determine a replacement priority rank for each failing component, based on characteristic values for each failing component and priority requirement ranking; determine a change in carbon dioxide (CO2) footprint resulting from replacement of each of the failing components, generate a CO2 optimized replacement priority rank by weighting the replacement priority rank by the change in CO2 footprint for each of the failing components; identify a failing component associated with a highest CO2 optimized replacement priority rank as a top replacement candidate, and the GUI to recommend immediate replacement of the top

Abstract: A hardware life extension learning recommendation and reward system of an information handling system may comprise a network interface device to receive operational telemetries from a first and a second computing device that each include a high temperature warning, an error for a labeled hardware type, and execution of a specific application, and a processor to determine, based on these telemetries, that failure of a first component of the labeled hardware type previously occurred at the first device, failure of a second component of the labeled hardware type has occurred at the second device, and execution at the first device of a previous recommendation to limit access to resources of the first component made available to the specific application extended the first component lifetime. A new recommendation may be transmitted to the second device to limit access to resources of the second component to the specific application.

Abstract: A noise and carbon dioxide (CO2) emissions minimizing load-balancing system executing on a unified endpoint management platform information handling system comprising a network interface device to receive telemetry measurements for a first server operating within peak hours, including power analytics, geographic location, ambient temperature and humidity, CO2 emissions value, and measured noise level exceeding a first CO2 load-balancing noise threshold value for the first server, a hardware processor to reject processing requests made to the first server above a CO2 optimal request load predicted, via a neural network modeling a relationship between changes in CO2 emissions values and changes in the telemetry measurements to cause the first server to emit noise below the first CO2 load-balancing noise threshold value, and the hardware processor to redistribute rejected processing requests across candidate offload servers emitting noise below a candidate-specific CO2 load-balancing noise threshold value determ

Abstract: An adaptive carbon dioxide (CO2) emissions reduction system operating on a client information handling system may comprise a processor, a network interface device, and a graphical user interface (GUI) to gather analytics for an executing software application hardware power consumption analytics, and a location for the client information handling system, determine a power CO2 emissions value estimating CO2 emitted during a measured consumption of power at the location based on the hardware power consumption analytics, determine that updated power consumption exceeds a maximum power draw threshold value determined based on user input for decreasing the power CO2 emissions value and location, and display a hardware reconfiguration recommendation for reconfiguring a hardware component currently configured for high performance to a power conservation setting.

Abstract: In a system for providing threat intelligence sharing including a plurality of edge nodes, each edge node may monitor a real-time data stream representing data being processed by the edge node. The edge node may identify a potential security threat indicated by at least a portion of the real-time data stream. In response to identifying the potential security threat, the edge may trigger an automated response action, and communicate a description of the identified potential security threat to the other edge nodes in the plurality of edge nodes.

Abstract: Techniques determining a data migration strategy in an edge network including a plurality of edge nodes is described. One example method includes determining a configuration for each of the plurality of edge nodes in the edge network; predicting a future workload associated with each of the plurality of edge nodes in the edge network based on an observed past workload for each of the plurality of edge nodes; receiving a migration request for a particular edge node in the plurality of edge nodes; and identifying a target edge node in the plurality of edge nodes that is suitable for handling the predicted future workload of the particular edge node, wherein the identifying is based at least in part on the determined configuration of the particular edge node and the target edge node, and on the predicted future workload of the particular edge node and the target edge node.

Abstract: An enterprise-wide carbon dioxide (CO2) emissions minimizing load-balancing system executing on a unified endpoint management platform information handling system comprising a processor receiving operational telemetry measurements for a first client information handling system including power analytics, a load of remote processing calls made to a processor, a geographic location, and a first client CO2 emissions value determined to exceed a first CO2 load-balancing emissions threshold value limiting the first client information handling system, the processor to reject remote processing call requests made to the first client information handling system above a CO2 optimal request load determined based on CO2 emitted per remote processing call request processed at the first client information handling system, and the processor to redistribute the rejected remote processing call requests across offload information handling systems having CO2 emissions values below a per-machine CO2 load-balancing emissions thres

Abstract: An information handling system may include at least one processor; a volatile memory; and a non-volatile memory. The information handling system may be configured to: determine pairwise correlations between data in a plurality of regions of the non-volatile memory; and destage data from the volatile memory to the non-volatile memory in accordance with the pairwise correlations, such that first data is destaged with second data having a high degree of correlation to the first data.

Abstract: In a system for providing secure multi-tenancy including a plurality of edge nodes, and each edge node may receive, from a central management system, resource isolation instructions associated with a first tenant and a second tenant. In response, the edge node may allocate a first set of resources to the first tenant, and a second set of resources to the second tenant. The edge node may then process data associated with the first and second tenants using the assigned sets of resources.

Abstract: An information handling system may include at least one processor and a network interface adapter. The information handling system may be configured to: couple to a plurality of client systems via the network interface adapter; implement a quality of service (Qos) policy for each client system; adjust the Qos policies based on predictions regarding resource utilization for resources of the information handling system and input/output (I/O) demands associated with each client system during specified time windows; and service requests from the client systems in accordance with the adjusted Qos policies.