Abstract: Methods, apparatus, and processor-readable storage media for automated delivery of cloud native application updates using one or more user-connection gateways are provided herein.

Abstract: A method, system and computer-readable storage medium for data backup by a backup server having local storage. In normal mode of operation the backup server stores any ingest data in the local storage. A redirect monitor continuously monitors the capacity utilization of the local storage. When the capacity utilization surpasses a preset threshold, the backup server is switched to operate in redirect mode, where newly received ingest data is redirected to alternate storage. The alternate storage may be, e.g., cloud storage or storage as a service facility. Thereafter the redirect monitor checks the utilization of the local storage and if that drops below a preset safety margin, the backup server reverts to normal operating mode. The backup server may or may not copy all redirected data from the alternate storage to the local storage, depending on the setup.

Abstract: A storage system in one embodiment comprises a front-end device and a first storage node corresponding to the front-end device. The first storage node comprises a processor that is separate from the front-end device. The front-end device is configured to obtain a write operation that comprises at least a first block of data and to calculate a hash digest based at least in part on the first block of data. The front-end device is configured to provide the hash digest to the processor. The processor is configured to identify a first data page that comprises a second block of data that is a target for replacement by the first block of data and to identify a second storage node based at least in part on the first data page. The processor is configured to transmit the hash digest to the second storage node.

Abstract: The present disclosure relates to a method, a device, and a program product for deploying a visual resource. In one method, a resource requirement of a vision application for the visual resource in a network system is acquired. Based on the resource requirement, the visual resource which will be called by the vision application is predicted. Based on processing capabilities of various edge devices and the visual resource in the network system, an edge device located near a terminal device in the network system is identified, wherein the terminal device is configured to run the vision application. Based on a time requirement in the resource requirement, the visual resource is deployed to the edge device. Further, a corresponding device and a corresponding program product are provided.

Abstract: Methods, apparatus, and processor-readable storage media for automatically validating design parameters for enterprise applications are provided herein. An example computer-implemented method includes obtaining image data and code data of a given application associated with an enterprise; processing at least a portion of the image data against at least a portion of design parameters of the enterprise by processing the at least a portion of the image data and a set of design-compliant image data using similarity algorithms; processing at least a portion of the code data against at least a portion of the design parameters by performing an automated scan of the at least a portion of the code data against at least one code-related portion of the design parameters; and performing automated actions based on the processing of the image data and/or the processing of the code data.

Abstract: An apparatus in one embodiment comprises a distributed data processing system in which multiple processing devices communicate with one another over at least one network. The distributed data processing system is configured to obtain reads of biological samples of respective sample sources, with each of the biological samples containing genomic material from a plurality of distinct microorganisms within an environment of a corresponding one of the sample sources, and to perform distributed data analytics to provide surveillance functionality characterizing at least one of a disease, an infection and a contamination as involving genomic material from multiple ones of the sample source. Performing distributed data analytics illustratively comprises performing local analytics in respective ones of a plurality of data zones, and performing global analytics utilizing results of the local analytics performed in the respective data zones.

Abstract: Techniques are provided for reinforcement learning-based evaluation of software product usage. One method comprises obtaining key performance indicators indicating software product usage by a user; determining, for a predefined time window: (i) a mean and/or a median of the obtained KPIs; (ii) an amount of time that the software product was active; and (iii) an amount of interactions by the user with a user interface; evaluating possible login states of the software product using at least one reinforcement learning agent, wherein the evaluating comprises (a) observing the plurality of possible login states, including a current state comprising a current login state of the software product, and (b) obtaining an expected utility score for changing from the current login state to a different login state of the software product; and determining whether to change from the current login state to a different login state of the software product based on the expected utility score.

Abstract: An integrated computing system configuration system includes a computing system that executes an engine to receive component specifications for each of one or more components supplied by a plurality of suppliers, and receive user input for selecting a subset of the components to be implemented in a customized integrated computing system by generating a base integrated computing system configuration that comprises the component specifications of the subset of the components. The engine may then apply one or more rules to at least one of the component specifications to verify the subset of components, the rule specifying an architectural standard level to be provided by the at least one component, and display the results of the verification on a display.

Abstract: One example includes a digital twin of a microphone array. The digital twin acts as a digital copy of a physical microphone array. The digital array allows the microphone array to be analyzed, simulated and optimized. Further, the microphone array can be optimized for performing sound quality operations such as noise suppression and speech intelligibility.

Abstract: A method includes identifying a portion of a web application to be migrated from a first to a second web application framework, selecting at least one page element in the portion of the web application that is to be migrated, generating an application chunk for the selected page element as a self-contained web application that utilizes the second web application framework, and replacing a portion of software code of the web application corresponding to the selected page element with chunk definition metadata defining content of the selected page element, dependencies of the selected page element, and triggers for loading the generated application chunk. The method also includes creating an application core comprising a user interface shell configured to load the generated application chunk and one or more other application chunks of the web application responsive to activation of user interface elements of the web application corresponding to the defined triggers.

Abstract: Embodiments are described for performing an uninterrupted backup in a storage system responsive to an abort event. A backup agent receives a plurality of file objects to be backed up on a target device during a first backup session. The backup agent initiates a parent interrupt service routine (ISR), which generates a plurality of child ISRs. Each of the plurality of child ISRs monitors a backup state of a corresponding file object. The parent ISR generates a virtual file object queue (VFOQ) to store a current backup state of each of the plurality of file objects. When an abort occurs, the current backup state of each of the plurality of file objects is saved in a respective child ISR of that file object. During a subsequent backup session, backup of the plurality of file objects commences based on the current backup state of each of the plurality of file objects.

Abstract: A data protection system configured to backup a time series database is provided. The data protection system may be integrated with or have access to consolidation policies of the time series database. The backup policy and backup retention policy are set by monitoring the consolidation policy and adjusting the backup policy to ensure that the data in the time series database is protected prior to being downscaled, discarded or otherwise consolidated.

Abstract: Described are techniques for modeling processing performed in a data storage system. Inputs received may include a plurality of workloads each denoting a workload for one of a plurality of storage groups, a plurality of service level objectives each denoting a target level of performance for one of the plurality of storage groups, a plurality of capacities each denoting a storage capacity of one of a plurality of storage tiers, and a plurality of maximum workloads each denoting a maximum workload capability of one of the plurality of storage tiers. Using the inputs, placement of data of the plurality of storage groups on the plurality of storage tiers may be modeled. Output(s) may be generated based on the modeling where the output(s) may include an amount of each of the plurality of storage tiers allocated by modeling to each of the plurality of storage groups.

Abstract: Techniques are disclosed herein for improved copy data management functionality in storage systems. For example, a method receives copy usage data for one or more data copies associated with a storage array, wherein the copy usage data is indicative of a usage associated with each of the one or more data copies, and updates the one or more data copies with one or more usage tags based on the received copy usage data. Further, the method may then scan the one or more usage tags associated with each of the one or more data copies, select one or more storage tiers for at least a portion of the one or more data copies based on the scanning of the one or more usage tags, and cause at least a portion of the one or more data copies to be stored in the selected one or more storage tiers.

Abstract: Storage of data according to mapped reliability groups (MRGs) of mapped redundant arrays of independent nodes (mapped clusters) is disclosed. Real reliability groups (RRGs) of a real cluster can provide compartmentalization that can reduce a probability of a data loss event occurring in a cluster storage system. MRGs for a mapped cluster employing the RRGs of the real cluster can provide additional compartmentalization that can further reduce a probability of a data loss event occurring. A data protection set can be stored according to a first group of MRGs and a redundant representation of the data protection set can be stored according to a second group of MRGs, wherein a network distance between the first and second group of MRGs is greater than a network distance between constituent MRGs of either the first or second group of MRGs.

Abstract: A method is used in managing truncation of files of file systems. A request is received to delete a portion of a file of a file system. The file system includes a plurality of files. Metadata of the file is evaluated for determining a number of file system blocks associated with the portion of the file that are available for de-allocation. Storage space associated with the file system blocks is reported as available storage space to a user of the file.

Abstract: One example method includes receiving, at a node of a data confidence fabric (DCF), a DCF backbone, installing the DCF backbone at the node, receiving a config file at the node, and the config file includes configuration information concerning the node, and receiving and installing a trust insertion component specified in the configuration information, where operation of the trust insertion component is enabled by the DCF backbone, and the trust insertion component is operable to associate trust metadata with data received by the node.

Abstract: Techniques are provided for multi-party prediction using feature contribution values. One method comprises obtaining a first set of feature contribution values associated with respective ones of a plurality of machine learning models, wherein each machine learning model is trained using training data of a different party and each feature contribution value indicates a contribution by a corresponding feature to a prediction generated by the associated machine learning model; training an aggregate machine learning model using the obtained first sets of feature contribution values; receiving a second set of feature contribution values generated by applying data of at least one party to at least one machine learning model; and applying the second set of feature contribution values to the trained aggregate machine learning model to obtain a global prediction.

Abstract: A method is used in analyzing a storage system using a machine learning system. Data gathered from information associated with operations performed in a storage system is analyzed. The storage system is comprised of a plurality of components. A bitmap image is created based on the gathered data, where at least one of the plurality of components is represented in the bitmap image. The machine learning system is trained using the bitmap image, where the bitmap image is organized to depict the plurality of components of the storage system.

Abstract: A method, computer program product, and computing system for receiving data for storage in a storage system. The data may be written to a head entry of a log buffer, wherein the log buffer includes a plurality of data entries for flushing to the storage system. At least a portion of the plurality of data entries of the log buffer may be flushed, via a plurality of threads, to the storage system based upon, at least in part, a tail entry of the log buffer. A queue of committed data entries may be updated, via each thread of the plurality of threads, with one or more data entries of the log buffer flushed to the storage system by each thread. A new tail entry of the log buffer may be determined, via a thread of the plurality of threads, based upon, at least in part, the queue of committed data entries.