Abstract: A method for managing a production environment includes obtaining a notification for an alert event for the production environment, in response to the notification: making a determination that a resource limitation is exceeded by the alert event, based on the determination, performing a resource elasticity process based on a priority list to increase the resource limitation to a new resource limitation such that the alert event does not exceed the new resource limitation, wherein the resource limitation is based on available computing resources in the production environment, and resolving the alert event after the increase of the resource limitation.

Abstract: Embodiments for storing digital data in DNA storage by receiving input file data, encoding the input file data into an oligonucleotide sequence to produce sequence data through a transformation of text to binary to Base_3 encoding, organizing the Base_3 sequence data into chunks of a defined chunk size, and storing the chunks in a block of a blockchain. The oligonucleotide sequence may comprise metadata for the input file data that refers to actual data stored in the DNA storage, where the actual data is formed by synthesizing the oligonucleotide sequence in a DNA synthesis process. The chunks may be stored in the blockchain only if the block agrees with a smart contract defined for the oligonucleotide sequence.

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: Techniques are disclosed for moving operations between cloud and edge platforms. For example, a method comprises executing a machine learning algorithm on a cloud platform and analyzing results of executing the machine learning algorithm. Based at least in part on the analysis, a determination is made whether the machine learning algorithm should be additionally trained. Based at least in part on a negative determination further execution of the machine learning algorithm is transferred from the cloud platform to an edge platform.

Abstract: Methods, apparatus, and processor-readable storage media for determining health-related information of returned inventory using artificial intelligence techniques are provided herein. An example computer-implemented method includes determining current state-related information pertaining to at least one returned inventory item; determining health-related information of the at least one returned inventory item by processing, using one or more artificial intelligence techniques, at least a portion of the current state-related information and historical inventory-related data associated with one or more additional inventory items; and performing one or more automated actions in connection with the at least one returned inventory item based at least in part on at least a portion of the determined health-related information.

Abstract: A device refurbishment carbon dioxide (CO2) emissions minimization system of a unified endpoint management platform information handling system comprising a network interface device to receive operational telemetry measurements for a first client information handling system or device operated by a first user, including power analytics, software application analytics, a first user geographic location, and a determined CO2 emissions value exceeding a non-eco-friendly state transition threshold value, a hardware processor to identify, via a neural network modeling a relationship between CO2 emissions values and operational telemetry measurements, a first user geographic location based CO2 increase cause, to determine the first user geographic location has a temperature higher than a temperature for a second geographic location of a second device, and the network interface device to generate and transmit recommendation instructions to the second device that the first device replace the second device for the secon

Abstract: Embodiments described herein relate to methods, systems, and non-transitory computer readable mediums storing instructions for placing an application in an external environment such as a cloud or edge environment, when it is rendered unavailable on a local environment such as a local host. The application's instance is moved after a connection test reveals that the application, related applications, and/or underlying physical computing devices hosting the applications and/or their data, do not respond to the test within an acceptable level of performance. By placing the application instances in an external environment, the application(s) can continue to provide an adequate level of service to one or more users until the application can be restored to its better function local host.

Abstract: A method for managing a data center includes: intercepting a data transfer request; making a determination that the request is valid; initiating, based on the determination, a data transfer operation by sending a notification to a client; analyzing a data package to infer components of the package, in which the package comprises data chunks and client-based hash values (CBHVs) associated with the data chunks; generating, based on the analysis, data center-based hash values (DCHVs) corresponding to the data chunks; populating a hash mapping lookup table to store the CBHVs and DCHVs; obtaining storage location information of the data chunks from storage; updating, based on the information, a storage location map; and initiating notification of a user of the client about completion of the operation.

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: A method for managing data replication includes: identifying data being used by an application programming interface (API), in which the data is stored in a source device; tagging the data based on a usage level of the data by the API; obtaining a predicted probability of the usage level of the data; making a first determination that the data is tagged as important data and the predicted probability of the usage level of the data is low; and replicating, based on the first determination, the data from the source device to a target device.

Abstract: A method for managing a technical support (TS) conversation includes: obtaining, in response to a TS request from a user of a client device, a log file associated with an application executing on the client device, in which the TS request specifies a hardware component failure on the client device; analyzing the log file to extract relevant data; obtaining, based on the relevant data, a fix from a solution service, in which the fix includes a plurality of steps; analyzing the log file to make a first determination that a first step of the plurality of steps has previously been applied to the client device; and initiating, based on the first determination, display of a second step of the plurality of steps on a graphical user interface (GUI) accessible to a TS entity, in which the second step has not been applied to the client device.

Abstract: A method for managing a technical support (TS) conversation includes: determining an initial state of a user based on TS history of the user; classifying a first sentence of a TS entity into a first category and a second sentence of the user into a second category; obtaining, based on the first category and the second category, a mapping between the first sentence and the second sentence; obtaining a TS conversation score based on the initial state and the second category; generating a TS recommendation based on the TS history, the mapping, and the TS conversation score; and initiating display of the TS recommendation on a graphical user interface (GUI) accessible to the TS entity.

Abstract: In general, embodiments relate to a method for performing a local vulnerability check of an application upgrade to be downloaded, comprising: receiving an application upgrade download request from a client device; sending, by a client device upgrade manager, information related to the application upgrade download request to a local vulnerability validator; determining by the local vulnerability validator, based on impact score information, that a specific version of the application upgrade to be downloaded has vulnerabilities; sending the impact score information to the client device upgrade manager; and notifying, based on the impact score information, the client device that the application upgrade to be downloaded has vulnerabilities.

Abstract: Intelligent workload management techniques in a heterogenous computing environment are disclosed. For example, a method comprises obtaining first identifying information associated with a set of workload types, and obtaining second identifying information associated with a set of server configurations associated with a computing environment, wherein one or more server configurations in the set of server configurations are different than one or more other server configurations in the set of server configurations. The method then maps individual ones of the set of workload types to individual appropriate ones of the set of server configurations based on the obtained first and second identifying information, and causes distribution of one or more workloads to one or more servers in the computing environment, in accordance with the mapping, for execution thereon. At least a portion of the obtaining and mapping steps are performed using one or more machine learning algorithms.

Abstract: Techniques for prediction of remaining life and failure of disks are disclosed. For example, a method comprises collecting operational data of a plurality of disks, and identifying at least one disk of the plurality of disks as failing based at least in part on a portion of the operational data associated with the at least one disk. Using one or more machine learning algorithms, a time period when the at least one disk will remain operational is predicted based at least in part on the portion of the operational data associated with the at least one disk. An operation to write contents of the at least one disk on at least one replacement disk is executed, wherein the operation is initiated at a time based at least in part on the predicted time period.

Abstract: A method for generating an upgrade recommendation for a communication network includes: analyzing a dataset to generate a request category, in which the dataset comprises at least a request, a response to the request, and a corresponding response time, in which the request and the response are communicated over the communication network; generating a network slice corresponding to the request category; executing an emulation using the network slice and the request to generate an emulated response time for the request; comparing the emulated response time against the corresponding response time; determining, based on the comparison, a response time variation for the request; and generating the upgrade recommendation based on the response time variation.

Abstract: A method for managing a client environment includes obtaining a notification for an application abstention by a client device, in response to the notification, performing an intent analysis on the client device using a processed client intent dataset to determine a set of reasons for the application abstention, comparing the set of reasons to an upgrade coverage dataset, identifying, based on the comparing, a set of solutions corresponding to the set of reasons, generating, based on the comparing, a specialized upgrade notification based on the set of solutions, and issuing the specialized upgrade notification to the client device.

Abstract: In general, embodiments relate to a method for managing a technical support session, comprising: determining a technical support issue (TSI) for a technical support session; identifying a question path graph (QPG) associated with the TSI; and displaying at least a portion of the QPG to a technical support person (TSP) during the technical support session.

Abstract: The described technology is generally directed towards predicting the survival of a storage device (e.g., a hard disk drive or a solid state drive) to a specified time point, expressed as a confidence score, via a prediction uncertainty quantifier framework with a machine learning classifier. The confidence score corresponds to the likelihood of a storage device surviving until a specified time point (e.g., for n hours). In one implementation, a conformal prediction framework provides the confidence score for a storage device, based on survival rate data predicted using recent telemetry data collected for that storage device by an online semi-parametric Mondrian survival forest classifier. Updated confidence scores based on updated telemetry data can be obtained at various evaluation stages to reevaluate whether to take remedial action with respect to a storage device (e.g., replace the storage device). Multiple storage devices can be ranked by their respective associated confidence scores.

Abstract: Embodiments described herein relate to methods, systems, and non-transitory computer readable mediums storing instructions for creating and executing migration workflows to replicate or migrate data from one device or set of devices to another device or set of devices. The embodiments perform checks both before a migration and after the migration is completed to determine if the migrated application and those applications and devices related to it are sufficiently connected and are functioning. Each application or device associated with one or more applications that have been migrated are message in order to determine that all related applications and/or components such as storage devices are communicating in a sufficient manner to provide a desired level of performance to a user of the one or more applications.