Abstract: The presently disclosed subject matter includes an apparatus with a processor and a memory storing code which, when executed by the processor, causes the processor to receive a data profile associated with a candidate resource, the data profile includes a set of attributes of the candidate resource which are relevant for assessing the candidate resource's suitability to satisfy a particular resource demand. The apparatus extracts an n-dimensional feature vector from the received data profile, the n-dimensional feature vector capturing aspects of the candidate resource's attributes and process said n-dimensional feature vector with a first ensemble machine learning model to generate a first suitability factor. Likewise, the apparatus process said n-dimensional feature vector with a second ensemble machine learning model to generate a second suitability factor. The apparatus determines whether to allocate the candidate resource to the particular resource demand using said first and second suitability factors.

Abstract: A discriminator of a training model is trained to discriminate between original training images without artificial subsurface data and modified training images with artificial subsurface data. A generator of the training model is trained to: replace portions of original training images with the artificial subsurface data to form the modified training images, and prevent the discriminator from discriminating between the original training images and the modified training images.

Abstract: A visualization request to visualize data is received. System parameters responsive to the visualization request are obtained. Predicted performance metrics are generated with a machine learning model using the system parameters. A workload server is obtained using a workload server profile selected using the predicted performance metrics, the workload server executing a visualization workload to generate a visualization. The visualization of the data is streamed, from the workload server to the client device, responsive to the visualization request.

Abstract: Various embodiments herein described are directed to methods, apparatuses and computer program products configured for monitoring and improving the performance of complex network computer systems. In some examples, an example service health status monitoring server may generate service health status data objects based at least in part on system-monitored metric metadata of metric-based alert data object(s) and user-defined mapping metadata of metric-based rule data object(s). Additional examples provide various example user interfaces, such as, but not limited to, health status monitoring user interfaces, that facilitate various user inputs and software operations in a service health status monitoring system.

Abstract: Systems and methods for the beneficiation of fine and very fine particles of iron ore are disclosed. The system includes a first triboelectric electrostatic belt-type separator (BSS) which receives and processes a stream of particles with a median particle size (d50) less than 75 microns to generate an iron rich concentrate. The system and method is water-free and carried out in a totally dry metallurgical route. The system also includes at least one air classification device that receives and processes a feed stream of particles to provide the stream of particles with a median particle size (d50) that is less than 75 microns. The system may also include a dryer and de- agglomeration system that receives a feed stream of particles and processes the feed stream of particles to provide the particle stream with a moisture of less than 2%.

Abstract: Methods, systems, and computer-readable storage media for receiving a dataset, the dataset including a plurality of data values, clustering data values of the plurality of data values into a plurality of input feature clusters in input feature space, training a local multi-task Gaussian process (MTGP) for each input feature cluster to provide optimized hyper-parameters in hyper-parameter space, an optimized hyper-parameter being provided for each input feature cluster, merging data values based on the optimized hyper-parameters, and distances between hyper-parameter clusters in the hyper-parameter space to provide a plurality of merged data values, and providing a LL-MTGP model based on the merged data values.

Abstract: Exemplary methods, apparatuses, and systems include a file system process reading a first node in a tree data structure from a first memory. The first node includes a first approximate membership query data structure (“AMQ”), a first plurality of child pointers, a first plurality of pivot values, and a first buffer. The file system process determines that the first plurality of child pointers exceeds a maximum size. Using a pivot value in the first plurality of pivot values, the file system process splits the first node into a second node and a third node. The file system process uses the pivot value to split the first buffer into a second buffer and a third buffer. Using the pivot value and the first AMQ, the file system process generates a second AMQ and a third AMQ.

Abstract: Embodiments of the present disclosure provide improved identification and handling of root causes for data event(s). Some embodiments improve the accuracy of determinations of a root cause or likely order of root causes of a data event affecting any number of system(s), and cause transmission of data associated with such root cause(s) for use in triaging such data event(s) and/or facilitating efficient servicing to resolve the data event. Some embodiments utilize modified centrality algorithm(s) to efficiently and accurately identify a likely root cause of a data event in a computing environment. Some embodiments generate and/or output notifications that indicate the particular computing system(s) identified as a root cause of a data event, and/or the particular computing system(s) identified not as a root cause but affected by a data event of the root cause computing system.

Abstract: A reference snapshot selection technique is configured to select a reference snapshot resolution algorithm used to determine an appropriate reference snapshot that may be employed to perform incremental snapshot replication of workload data between primary and secondary sites in a data replication environment. A reference resolution procedure is configured to process a set of constraints from the data replication environment to dynamically select the reference snapshot resolution algorithm based on a figure of merit that satisfies administrative constraints to reduce or optimize resource utilization in the data replication environment.

Abstract: A framework is described that improves resource utilization during operations executing within workflows of the distributed data processing system (e.g., having a plurality of interconnected nodes) in a disaster recovery (DR) environment configured to support synchronous and asynchronous (i.e., heterogeneous) DR workflows (e.g., generating snapshots and replicating data) that include synchronous replication, asynchronous replication, nearsync (i.e., short duration snapshots of metadata) replication and migration of data objects associated with the workflows for failover (e.g., replication and/or migration) to a secondary site in the event of failure of the primary site. The framework meters (regulates) execution of the operations directed to the workloads so as to efficiently use the resources in a manner that allows timely progress (completion) of certain (e.g., high-frequency) operations and reduction in blocking (stalling) of other (e.g.

Abstract: A version control interface for data provides a layer of abstraction that permits multiple readers and writers to access data lakes concurrently. An overlay file system, based on a data structure such as a tree, is used on top of one or more underlying storage instances to implement the interface. Each tree node tree is identified and accessed by means of any universally unique identifiers. Copy-on-write with the tree data structure implements snapshots of the overlay file system. The snapshots support a long-lived master branch, with point-in-time snapshots of its history, and one or more short-lived private branches. As data objects are written to the data lake, the private branch corresponding to a writer is updated. The private branches are merged back into the master branch using any merging logic, and conflict resolution policies are implemented. Readers read from the updated master branch or from any of the private branches.

Abstract: Embodiments of the present disclosure provide improved identification and handling of root causes for data event(s). Some embodiments improve the accuracy of determinations of a root cause or likely order of root causes of a data event affecting any number of system(s), and cause transmission of data associated with such root cause(s) for use in triaging such data event(s) and/or facilitating efficient servicing to resolve the data event. Some embodiments utilize modified centrality algorithm(s) to efficiently and accurately identify a likely root cause of a data event in a computing environment. Some embodiments generate and/or output notifications that indicate the particular computing system(s) identified as a root cause of a data event, and/or the particular computing system(s) identified not as a root cause but affected by a data event of the root cause computing system.

Abstract: The techniques described herein enable the establishment of two simultaneous virtual private network (VPN) connections for a VPN client operating on a remote computing device. The VPN client can establish first VPN connection with a first VPN server instance of a VPN gateway and a second VPN connection with a second VPN server instance of the VPN gateway. To establish two simultaneous VPN connections, the VPN client is configured to create and/or use two Transmission Control Protocol (TCP) sockets. In one example, a first VPN connection can be a primary VPN connection and a second VPN connection can be a dormant VPN connection configured as a backup in case of a service interruption with the first VPN connection. In another example, a data flow can be split across the first and second VPN connections, or alternate between using the first and second VPN connections, based on performance parameters.

Abstract: The techniques described herein enable the establishment of two simultaneous virtual private network (VPN) connections between a VPN gateway and a VPN client. The system is configured to update a routing table advertised to network resources when a VPN server instance fails and/or is taken offline. When a first VPN server instance fails and/or is taken offline, the first VPN server instance releases a claim of ownership on its range of IP addresses. After this release occurs, the second VPN server instance is configured to claim ownership of the range of IP addresses that used to be owned by the first VPN server instance. This updated claim of ownership is captured in an updated routing table that can then be advertised to the network resources. Consequently, the network resources use this updated routing table to correctly determine which VPN server instance to send data intended for the VPN client.

Abstract: A computer-implemented method includes maintaining one or more databases that collectively store organizational data associated with an organization and an object graph data structure having a plurality of data objects associated with the organizational data. The method further includes generating a formula field which includes one or more dependent fields, wherein the formula field is defined and evaluated using a query expression that makes reference to the object graph data structure. The method further includes, in response to a value of at least one of the one or more dependent fields changing to an updated value, automatically updating a value of the formula field based on the updated value of the at least one of the one or more dependent fields, and enabling inclusion of the formula field in one or more of a report, a policy, a workflow, a trigger, or a rule.

Abstract: The present disclosure relates to systems for identifying instances of natural language input, determining intent classifications associated with instances of natural language input, and generating responses based on the determined intent classifications. In particular, the disclosed systems intelligently identify and group instances of natural language input based on characteristics of the user input. Additionally, the disclosed systems determine intent classifications for the instances of natural language input based message queuing in order to delay responses to the user input in ways that increase accuracy of the responses, while retaining a conversational aspect of the ongoing chat. Moreover, in one or more embodiments, the disclosed systems generate responses utilizing natural language.

Abstract: A technique improves storage efficiency of an object store configured to maintain numerous snapshots for long-term storage in an archival storage system by efficiently determining data that is exclusively owned by an expiring snapshot to allow deletion of the expiring snapshot from the object store. The technique involves managing index data structures to enable efficient garbage collection across a very large number of data objects. When a snapshot expires, the technique obviates the need to scan the numerous snapshot data objects to determine which index structures are no longer needed and can be reclaimed (garbage collected). The technique is directed to management of underlying storage based on different sets of policies. When certain snapshots expire and are ready for deletion, the technique is directed to finding those data blocks that are no longer referenced (used) by any valid snapshots.

Abstract: A reference snapshot selection technique is configured to select a reference snapshot resolution algorithm used to determine an appropriate reference snapshot that may be employed to perform incremental snapshot replication of workload data between primary and secondary sites in a data replication environment. A reference resolution procedure is configured to process a set of constraints from the data replication environment to dynamically select the reference snapshot resolution algorithm based on a figure of merit that satisfies administrative constraints to reduce or optimize resource utilization in the data replication environment.

Abstract: The techniques described herein increase the throughput of a single VPN connection by creating multiple outbound and/or inbound Security Associations (SAs). For instance, two or more different SAs can encrypt outbound data packets to be sent over the VPN connection to a remote device. Moreover, two or more different SAs can decrypt inbound data packets received over the VPN connection from the remote device. Each of the SAs can be bound to a different processing core via the use of a Security Parameter Index (SPI) identifier. Consequently, inbound data packets communicated over a single VPN connection from a remote device to a physical host in a VPN gateway can be distributed amongst multiple processing cores for decryption purposes. Further, outbound data packets to be communicated over the single VPN connection from the physical host to the remote device can be distributed amongst multiple processing cores for encryption purposes.

Abstract: A system and method are disclosed for performing, by a processor of an information handling system, an inventory of updateable components of the information handling system. The system and method also includes retrieving an update path catalog for the updateable component and determining published updates between a current version and a target version of the updateable component according to the update path catalog. In addition, the system and method includes determining update recommendations based on the published updates between the current version and the target version. Finally, the system and method includes consolidating the update recommendations into the consolidated update recommendation according to a criterion.