Abstract: A method and system for machine learning based predictions of upgrade testing outcomes for information technology (IT) environments. At least with respect to computing, an upgrade may entail the replacement of a product—in the form of hardware, software, and/or firmware—with a newer or better version, which may serve to bring the product up to date, improve the characteristic(s) of the product, and/or resolve any issue(s) inflicting the product. Further, through the process of upgrade testing, an upgrade may be assessed to determine its impact on an operability of varying environments following application of the upgrade thereon. Moreover, each environment may reflect a different history of product upgrades that had been applied thereon prior to the upgrade being tested. The disclosed method and system, accordingly, propose a framework directed to ascertaining the post-upgrade outcomes of actual IT environments using machine learning applied to post-upgrade outcomes of simulated IT environments.

Abstract: An apparatus comprises a processing device configured to receive system state information corresponding to one or more devices, to predict a usage frequency of the system state information using one or more machine learning models, and to determine, based at least in part on the usage frequency, a compression level for storage of the system state information. The compression level is applied to the system state information to generate at least one compressed file for transmission to a database.

Abstract: A method includes receiving data collected from a plurality of managed devices in a plurality of data collections. The data collections are performed using a plurality of collection protocols. A trigger that generated each of given ones of the data collections is determined. The method further includes identifying a collection protocol of the plurality of collection protocols used for each of the given ones of the data collections, and determining one or more attributes of a plurality of attributes of the plurality of managed devices that have been collected using given ones of the collection protocols. A mapping is generated between the triggers, the collection protocols and the attributes using one or more machine learning algorithms. The generated mapping is used to predict one or more collection protocols of the plurality of collection protocols to use to collect data from one or more of the managed devices.

Abstract: An apparatus comprises a processing device configured to receive a request to boot a given computing device to a primary environment and, responsive to receiving the request, to obtain first inventory information for components of the given computing device utilizing a preinstallation environment of the given computing device. The processing device is also configured to analyze the first inventory information and second inventory information to determine whether there any changes in the components of the given computing device prior to booting the given computing device to the primary environment, the second inventory information being previously stored in a support environment of the given computing device. The processing device is further configured to generate notifications based at least in part on determining that there are one or more changes in the components of the given computing device, and to provide the notifications at a user interface of the given computing device.

Abstract: A method of manufacturing a stator assembly for an electric machine includes providing multiple stator windings. Each stator winding is connected to a conductive terminal. The method includes assembling multiple busbars into a busbar assembly. The busbars are arranged flexibly relative to each other in the busbar assembly. The method also includes connecting the busbar assembly to some of the conductive terminals.

Abstract: A control application facilitates interactions with, and configurations of, the information management system that manages one or more client computing devices of an information management system. The control application may be implemented using a variety of modules that allow a user to interact with the information management system services in various ways. Using the control application, a user may view a backup status of the information management system, and view the backup status of specific client computing devices that are managed by the information management system. The user may also search for various entities and/or objects within the information management system using the control application. In addition, a user may view the status of one or more backup jobs configured within the information management system, as well as backup plans that have been established for one or more of the client computing devices.

Abstract: Devices, systems, compositions and methods for long term or prolonged transdermal administration of an active agent are provided.

Abstract: A method for managing a client environment includes obtaining, by an issue analyzing engine, a notification for an issue based on an application upgrade on a client device of the client environment, in response to the notification: applying an issue analyzing model to device configuration information associated with a client device to obtain a solution set, providing the solution set to client environment, obtaining a result from the client environment associated with the issue and the solution set, and updating the issue analyzing model based on the result to obtain an updated issue analyzing model.

Abstract: A method for managing a client environment includes obtaining, by a client environment watcher of a production host environment, a set of actions performed by the client environment operatively connected to the production host environment, in response to obtaining the set of actions: performing an action filtering on the set of actions to obtain a set of filtered actions, wherein the set of filtered actions is associated with an attempt to resolve an issue with performing an application upgrade on the client environment, determining, using the set of filtered actions, a client-applied action set, and initiating an update to an issue analyzer model to obtain an updated issue analyzer model.

Abstract: A disclosed method and system for allocating bandwidth among a plurality of virtual network ports assigned to a plurality of virtual machines accesses assignment information indicating which virtual network ports are assigned to which virtual machines. A network bandwidth manager (NBM) receives network utilization information indicating the network utilization of each virtual network port/The NBM further receives virtual machine priority information indicative of a derived priority for each of the plurality of virtual machines. The NBM configures bandwidth parameters for each of the virtual network ports based on the assignment information, network utilization information, and the virtual machine priority information.

Abstract: An apparatus comprises at least one processing device configured to detect one or more issues associated with execution of a first version of a microservice in one or more computing environments, to determine whether any of the detected issues correspond to one or more triggers of one or more predefined patterns in a knowledge base, and, responsive to determining that at least one of the detected issues corresponds to at least one of the triggers of at least one of the predefined patterns in the knowledge base, to utilize code modification data structures specified in the at least one predefined pattern to modify source code of the microservice. The processing device is further configured to generate at least one additional version of the microservice utilizing the modified source code, and to deploy the at least one additional version of the microservice in at least one of the computing environments.

Abstract: An applicator for a microprojection array is described. In one embodiment, the applicator comprises an energy-storing element. Application of force causes the compressed energy-storing element to extend or transition from first and second configurations, releasing stored energy to deploy a holding member in the application which is configured to hold an array of microprojections. In another embodiment, the applicator comprises an energy storing element with two stable configurations, a first stable configuration and second stable configuration. Application of force causes the energy-storing element to transition from the higher energy first stable configuration to the lower energy second stable configuration, releasing the difference in energies of the two states to deploy a holding member in the application which is configured to hold an array of microprojections.

Abstract: A method comprises receiving a notification of an issue with at least one component of a plurality of components in a computing environment. One or more machine learning algorithms are used to determine one or more components of the plurality of components impacted by the issue with the at least one component. The method further comprises collecting operational data for the at least one component and the one or more impacted components.

Abstract: Devices, systems, compositions and methods for long term or prolonged transdermal administration of an active agent are provided.

Abstract: An adhesive matrix and adhesive formulation are described. The adhesive matrix is comprised of a hydrophilic domain and a hydrophobic domain, and a therapeutically active agent contained in the matrix in a supersaturated, stable, condition. The hydrophilic domain and the hydrophobic domain are co-soluble in a solvent system, to provide a homogeneous blend in which the active agent is solubilized. The proportion of the hydrophilic domain and hydrophobic domain is selected to optimize, or maximize, solubility of active agent in the matrix.

Abstract: Microstructure arrays and methods for using and manufacturing the arrays are described.

Abstract: Predictive techniques for issue impact management in a data center or other computing environment comprising a plurality of devices are disclosed. For example, a method comprises predicting an impact to a data center comprising a plurality of devices based on an issue associated with a given device of the plurality of devices within the data center, wherein the prediction utilizes at least one machine learning model. The method then causes one or more actions to be taken based on a result of the prediction.

Abstract: A method for managing a client environment includes obtaining, by a device emulation orchestration engine in an emulation system, an upgrade estimation time request associated with an application upgrade, in response to the upgrade estimation time request: performing a device emulation container analysis to determine a client device that requires the application upgrade, wherein the client device executes in the client environment, initiating an upgrade emulation using a device emulation container corresponding to the client device, obtaining, from a device emulation agent executing in the device emulation container, an upgrade estimation, and providing the upgrade estimation to the application upgrade monitoring agent.

Abstract: In general, embodiments relate to a method for managing a technical support session, comprising: generating a question path graph (QPG) based on a plurality of question sequences associated with technical support sessions, and displaying at least a portion of the QPG to a technical support person (TSP) during a technical support session.

Abstract: In general, embodiments relates to a method for managing a technical support session, comprising: obtaining technical support question from a technical support person (TSP) that is conducting the technical support session; determining that the technical support question is a duplicate of a prior technical support question; in response to the determination, obtaining a quality score for the technical support question; and displaying the quality score to the TSP in a user interface on a technical support system that the TSP is using the conduct the technical support session.