Abstract: An embodiment includes determining, based on historical data associated with a specific task, a baseline bandwidth recommendation for completing the specific task. The embodiment assigns, for a first time period, the specific task to a first computing device on a network. The embodiment allocates, for the first time period based on the baseline bandwidth recommendation, a first baseline bandwidth to the first computing device. The embodiment allocates, for the first time period, a portion of a shared buffer bandwidth as a first buffer bandwidth to the first computing device based on a weight value assigned to the specific task. The first buffer bandwidth combines with the first baseline bandwidth as a first total bandwidth for the specific task. The embodiment throttles, during the first time period, data packets associated with the specific task based on the first total bandwidth for the specific task.

Abstract: Using a model executing on a classical processor, a set of classical features is scored. The scored set of classical features is divided into a set of feature groups, a number of classical features in a group determined according to a qubit capability of a quantum processor. Using a model executing on the quantum processor and a group of the scored set of classical features, a set of quantum features is scored. The score of a quantum feature is adjusted according to an accuracy of the quantum data model. The scored set of classical features and the scored set of quantum features are combined according to a measure of differences between the scored set of classical features and the scored set of quantum features. Using the combined set of scored features and a first set of input data of a resource, a valuation of a resource is calculated.

Abstract: An embodiment includes generating, by a first edge computing device having a sensor, a dataset based on sensor data from the sensor. The embodiment generates, by an analytics engine hosted by the first edge computing device, a classification dataset comprising a classification for the dataset and a confidence value associated with the classification. The embodiment calculates a confidence difference between the confidence value and a reference confidence value received with a reference classification from a second edge computing device. The embodiment compares the confidence difference to a difference threshold value and generates, in a case in which the confidence difference is greater than the difference threshold value, a replacement dataset as an output replacement for the classification dataset, where the replacement dataset comprises the reference classification and an indication that the confidence value is less than the reference confidence value.

Abstract: Embodiments are directed to a method of manufacturing the printed circuit board. The PCB is a multi-layer component, including a dielectric material and an intermediate or second layer adjacently positioned with respect to the dielectric material. The intermediate layer or second layer includes a conductor and fiberglass strands, with the fiberglass strands having an associated orientation. When assembled, the fiberglass and the conductor have a matching orientation and separation distance from a source to a destination.

Abstract: A method for testing a system under test (SUT) in an active environment includes executing, by the testing system, on the SUT, a test from a set of tests. The method further includes, monitoring a first execution time to complete the test on the SUT in the active environment. Based on the first execution time being different than a second execution time of the test, marking, by the testing system, a code path associated with the test. The second execution time is a duration to complete execution of the test on the SUT in a clean execution environment. The method further includes communicating, by the testing system, the code path for analyzing a soft failure of the SUT in the active environment, wherein the soft failure occurs in the active environment during execution of the SUT based at least on a parameter of the active environment.

Abstract: A method for dynamically establishing a communication path for a requestor by assessing an authenticity of the requestor and a communication request is provided. The method may include, in response to receiving the communication request, dynamically determining whether to establish a communication path for the requestor to a destination though a communication network by assessing the requestor based on one or more authentication rules, wherein the one or more authentication rules are based on first information associated the communication network, second information about the requestor, and third information from the requestor. The method may further include, in response to determining that the requestor satisfies the one or more authentication rules, dynamically establishing the communication path for the requestor on the communication network according to one or more communication attributes associated with the requestor.

Abstract: A method and/or system for checking the bus/interface between a host and a memory system during memory access operations includes a memory system having one or more of the data memory devices and a spare memory device; providing a bus/interface between a host and the memory system; selecting information on a per memory device basis to associate with a spare memory device; disassociating the selected information from the one or more data memory devices and associating the selected information with the spare memory device; adding Cyclical Redundancy Check (CRC) code to the one or more data memory devices from which the selected information was disassociated; transferring the CRC code and information over the bus and interface between the host and the memory system; and checking the bus interface with the CRC code added to the one or more data memory devices.

Abstract: Computer-implemented methods for optimized compute resource addition and removal in a distributed storage platform. In a case of a newly added compute resource being connected to a storage subsystem shared by compute resources in the distributed storage platform, the distributed storage platform formulates a redistribution plan to redistribute a subset of a global address space of the storage subsystem to a newly added logical volume in the storage subsystem. In a case of a removed compute resource being disconnected from the storage subsystem, the distributed storage platform formulates a redistribution plan to redistribute respective logical blocks in a logical volume for the removed compute resource to respective remaining logical volumes for respective remaining compute resources in the distributed storage platform. The distributed storage platform executes the redistribution plan to reassign data block ownerships on one or more physical memory devices in the storage subsystem.

Abstract: A method includes: receiving, by a computing device, data for storage in a dispersed storage network; writing, by the computing device, the data to a first location; generating, by the computing device, a first pointer to the first location; receiving, by the computing device, updated data that is an updated version of the data; writing, by the computing device, the updated data to a second location; generating, by the computing device, a second pointer to the second location; and deleting, by the computing device, the first pointer at a time after writing the updated data and generating the second pointer.

Abstract: Embodiments of the invention provide for malware collusion detection in a mobile computing device. In one embodiment, a method for malicious inter-application interaction detection in a mobile computing device includes filtering applications installed in a mobile device to a set of related applications and then monitoring in the mobile device execution of the related applications in the set. The method additionally includes computing resource utilization of one of the related applications executing in a background of the mobile device while also computing execution performance of a different one of the related applications. Finally, the method includes responding to a determination that the computed resource utilization is high while the computed execution performance is poor by generating a notification in the display of the mobile device that the one of the related applications is suspected of malware collusion with the different one of the related applications.

Abstract: Techniques for fabricating a volatile memory structure having a transistor and a memory component is described. The volatile memory structure comprises the memory component formed on a substrate, wherein a first shape comprising one or more pointed edges is formed on a first surface of the memory component. The volatile memory structure further comprises transistor formed on the substrate and electrically coupled to the memory component to share operating voltage, wherein operating voltage applied to the transistor flows to the memory component.

Abstract: A mechanism is provided for controlling the internal air-quality of a vehicle, including configuring a control policy that controls an internal air-quality of a vehicle and performing an action dictated by the control policy according to a window status of the vehicle.

Abstract: Building a first layer model of a three-layer model based on attributes that are sensitive features is provided. A first dimension reduction of sensitive features removes each sensitive feature having an indicator that it is present in a patch and does not contribute to one or more of three probabilities. A second dimension reduction of insensitive features is performed using vectorizing and using one-hot encoding. The remaining insensitive features are main features. One or more second layer models of the three-layer model is built based on the main features. The third layer model is built based on a verification dataset and the first layer model. Regression test coverage is recommended based on prediction result of the third layer model, and wherein regression tests are selected. The training dataset is updated based on probability calculations of the first layer model.

Abstract: Methods, systems, and computer program products for identifying and redacting data from diagnostic operations via monitoring of data are provided herein. A computer-implemented method includes automatically monitoring data, which includes determining which portions of the data are accessed during a diagnostic operation; parsing an input file into portions of parsed data, wherein the input file comprises an initial output of the diagnostic operation; classifying the portions of parsed data into classes by applying at least one of multiple classification models to the parsed data, wherein the at least one classification model is specific to the accessed portions of data; automatically identifying sensitive data in the classified portions of parsed data by applying a class-to-sensitivity mapping technique to the classified portions of parsed data; redacting the identified sensitive data from the input file; and generating and outputting an updated output of the diagnostic operation based on the redacting.

Abstract: A method includes receiving a workload in a multi-tier enterprise storage system. The workload including a database. A processor determines if historical query logs present for the workload. Upon a determination that historical query logs are present for the workload: the processor analyzes a query log of historical queries for the database; an inter- and intra-query weighted column relationship graph is created based on the analyzing; and weights are assigned to the weighted column relationship graph based on an optimization process that maximizes performance for the historical queries in a training window.

Abstract: Dataflow optimization by dead store elimination focusing on logically dividing a contiguous storage area into different portions by use to allow a different number and type of dataflow and dead store techniques on each portion. A first storage portion, containing the storage for control flow related metadata, is split from a remaining storage portion. Liveness analysis is executed on the first storage portion using bitvectors with each bit representing four bytes. The remaining storage portion, containing the temporary storage for computational values, is processed using a deadness-range-based dataflow analysis. IN and OUT sets for each basic block are generated by processing blocks GEN and KILL sets by performing a backwards intersection dataflow analysis. Stores that write to the set of dead ranges in the IN sets of blocks are eliminated as dead stores.

Abstract: A method, the method comprising retrieving a sound intensity map for a venue, wherein the sound intensity map is divided up into a plurality of regions, wherein the sound intensity map predicts a sound quality for each region during a current event. Receiving data from a plurality of IOT enabled operated aerial vehicles, where each IOT enabled operated aerial vehicle of the plurality of IOT enabled operated aerial vehicles travels around different regions of the plurality of regions, wherein each IOT enabled operated aerial vehicle collects data during the event. Comparing the received data to the sound intensity map to determine the region where an audio component of a venue audio needs to be adjusted. Determining the adjustment required for the audio component and adjusting the audio equipment.

Abstract: Disclosed embodiments provide techniques for virtual reality enabled activity allocation. A camera system monitors a physical environment from multiple angles, generating real-time video feeds of the physical environment. A real-time virtual reality environment (RTVRE) rendering system utilizes the real-time video feeds as input to create a virtual reality environment that is representative of the physical environment. A user performs an action in the virtual environment that corresponds to a task to be performed in the physical environment. A computer-implemented virtual reality control management system assesses the task and assigns the task to an electromechanical device that is best-suited to perform the task, based on a scoring algorithm. This enables actions such as remote monitoring and control of a premises. Thus, disclosed embodiments improve the technical field of remote monitoring and control of a premises.

Abstract: An input/output store instruction is handled. A data processing system includes a system nest coupled to at least one input/output bus by an input/output bus controller. The data processing system further includes at least a data processing unit including a core, system firmware and an asynchronous core-nest interface. The data processing unit is coupled to the system nest via an aggregation buffer. The system nest is configured to asynchronously load from and/or store data to at least one external device which is coupled to the at least one input/output bus. The data processing unit is configured to complete the input/output store instruction before an execution of the input/output store instruction in the system nest is completed. The asynchronous core-nest interface includes an input/output status array with multiple input/output status buffers. The system firmware includes a retry buffer and the core includes an analysis and retry logic.

Abstract: A phrase that includes a trigger word that modifies a meaning within the phrase is received. The trigger word is identified. The words of the phrase that are modified by the trigger word are identified by analyzing features of the phrase that link the trigger word to other words. The phrase is interpreted by modifying the second subset of words according to the modification of the trigger word.

Abstract: Operating system deactivation of write protection for a storage block is provided absent quiescing of processors in a multi-processor computing environment. The process includes receiving an address translation protection exception interrupt resulting from an attempted write access by a processor to a storage block, and determining by the operating system whether write protection for the storage block is active. Based on write protection for the storage block not being active, the operating system issues an instruction to clear or modify translation lookaside buffer entries of the processor associated with the storage block, absent waiting for an action by another processor of multiple processors of the computing environment, to facilitate write access to the storage block proceeding at the processor.

Abstract: Proposed are concepts for identifying data relationships from a spreadsheet. Such a concept may transform formulae by replacing the variables in each formula with descriptive labels. This may, for example, expressing the transformed formulae in terms that have more meaning to a user, the facilitating understanding and/or analysis that would otherwise not be possible with the existing tools.

Abstract: In an approach, a processor groups documents into a plurality of groups based on similarity, where: documents of each group have a same document structure; and the document structure is defined by coordinates of text blocks. A processor, for each group of the plurality of groups and for each document of the respective group: retrieves a value of each text block of the respective document in accordance with a document structure of the group; and assigns to each text block of the respective document an attribute that represents the retrieved value of the text block. A processor assigns a first document of the documents to an entity of a database that matches the first document based on the group of text block values and the assigned attributes of the document.

Abstract: A computer-implemented method upgrades an edge network based on analysis by a learning model. The method includes identifying, in a network, a plurality of devices, where each device in the network is configured to provide data on at least one other device in the network. The method also includes determining capabilities of each device of the plurality of devices. The method further includes monitoring, for each device, capacity information and tasks performed during operation of the network. The method includes analyzing, based on the monitoring, each use of each device. The method also includes recommending, in response to the analyzing and by a learning model, a first upgrade to the network. The method further includes implementing the first upgrade.

Abstract: A method, apparatus and computer program product for using a volumetric CAPTCHA display to verify that a human is present at a computer. Responsive to a request for a computer resource, a volumetric CAPTCHA is displayed in a user interface at the computer. The volumetric CAPTCHA has a first three dimensional (3D) feature and a second 3D feature. The user is prompted to answer a question about the first 3D feature of the volumetric CAPTCHA display. The received user response to the question is evaluated for correctness in describing the first 3D feature of the volumetric CAPTCHA. In response to the received user response being correct, the user is allowed access to the computer resource. The first 3D feature and the second 3D feature have a relationship with each other in the volumetric CAPTCHA.

Abstract: Various embodiments are provided for implementing an approximation nearest neighbour (ANN) search in a computing environment are provided. An approximation nearest neighbour (ANN) of a plurality of feature vectors in hyper-planes with dynamically variable subspaces by searching an inverted index may be retrieved.

Abstract: One embodiment provides a method that includes determining candidate ontologies for alignment from multiple available knowledge bases. An initial target ontology is selected from the candidate ontologies and correcting the initial selected ontology with received refinement input. Concepts in the selected initial ontology are aligned with concepts of the target ontology using a deep learning hierarchical classification with received review input. A user is assisted to build, change and grow the selected initial ontology exploiting both the target ontology and new facts extracted from unstructured data.

Abstract: Concepts for recreating electronic content are presented. One example comprises identifying one or more content references in one or more content sources, wherein each of the one or more content references is associated with a content item. The method then comprises, for each of the one or more identified content references, retrieving the associated content item, then normalizing the one or more retrieved content items to obtain one or more normalized content items. The method then comprises recreating electronic content by combining the one or more normalized content items.

Abstract: The disclosed embodiments include a method for performing financial fraud assessment that includes creating a machine learning model based on features used to identify financial fraud risk; receiving financial information associated with customer accounts; establishing communities for the customer accounts; creating a baseline set of the features for each of the communities; receiving new financial information associated with customer accounts; updating the communities for the customer accounts based on the new financial information; extracting an updated set of the features for each of the communities; and determining a difference between the baseline set of the features and the updated set of the features for each of the communities; and using the machine learning model to determine financial fraud risk for each of the communities based on the difference between the baseline set of the features and the updated set of the features for each of the communities.

Abstract: Disclosed is a computer implemented method to annotate electronic maps with historical data, the method comprising: receiving a first query from a user, wherein the first query includes a request for historical data of a mapped area. The method also comprises retrieving a plurality of references, wherein each reference includes a location reference, and each reference is related to the mapped area. The method further comprises normalizing each location reference to a common coordinate system. The method also comprises ranking each of the plurality of references. The method further comprises generating a first result, wherein the first result is responsive to the first query, and the first result is based on the ranking. The method further comprises determining a confidence score for the first result, and returning the first result to the user.

Abstract: Aspects include receiving a notification that a value of a data element stored in a source storage location in a source format has been changed to an updated value. The change is replicated to a plurality of target storage locations. The replicating includes, for each of the plurality of target storage locations, determining a target format of the data element in the target storage location. The target format is one of a plurality of different formats, including the source format. Each of the different formats provide a different level of data protection for the data element. In response to determining that the target format is not the same as the source format, the updated value of the data element is converted into the target format, and the updated value of the data element is stored in the target format at the target storage location.

Abstract: A method, computer program product, and computer system are provided. A message storage area of an adjunct processor (AP) crypto adapter is filled with a plurality of command request messages sufficient to maximize utilization and performance of the AP crypto adapter. In response to detecting an error during execution of one of the plurality of command request messages, generating an AP crypto adapter command reply message. The AP crypto adapter command reply message includes the error. In response to the error being a non-recoverable failure, determining a state of the command request message, wherein the state of the command request message comprises an in-process state or a request-pending state. The AP crypto adapter command reply message is formatted, wherein the formatted AP crypto adapter command reply message is stored in a message queue in the AP crypto adapter pending completion of machine failure recovery. The AP crypto adapter is recovered.

Abstract: Aspects of the invention include generating a combined raster image from point cloud data and reference data describing an original location of a power line. Selecting a set of candidate pixels from the combined raster image describing an updated location of a power line, wherein the selection is based at least in part on a location of pixels in the combined raster image that describe the original location. Detecting pixels from the set of candidate pixels that describe an updated location of a power line. Modifying the combined raster image to reflect the updated location of the power line.

Abstract: Systems and methods for replacing and testing a data storage device are disclosed. In disclosed embodiments, a system including a data storage array (DSA) including a plurality of data storage devices (DSDs) in an enclosure. The system further includes an I/O server coupling the DSA to a client node and configured to provide data access between the client node and the DSA. The system further includes a management server coupled to the DSA, configured to detect a failed DSD in the DSA, detect a replacement DSD in the enclosure that replaces the failed DSD, and add the replacement DSD to a logical path of the DSA. The management server is further configured to display an indication of a state of the DSA based on the comparing.

Abstract: A method for planning under uncertainty is disclosed. The method includes steps of processing a stochastic programming formulation based on forecast values of at least one of product and service configurations, and determining a resource requirements plan for one or more planning periods in a non-deterministic bill of resources of at least two levels.

Abstract: Aspects are provided for sharing instruction cache footprint between multiple threads. A set/way pointer to an instruction cache line is derived from a system memory address associated with an instruction fetch from a memory page. It is determined that the instruction cache line is shareable between a first thread and a second thread. An alias table entry is created indicating that other instruction cache lines associated with the memory page are also shareable between threads. Another instruction fetch is received from another thread requesting an instruction from another system memory address associated with the memory page. A further set/way pointer to another instruction cache line is derived from the other system memory address. It is determined that the other instruction cache line is shareable based on the alias table entry.

Abstract: An embodiment includes parsing form data into a plurality of form values received with a schedule request and assembling the form values into a search vector. The embodiment searches historical data using a nearest neighbor algorithm that inputs the search vector and identifies first and second sets of historical vectors comprising that are closest by Euclidean distance to the search vector. The embodiment calculates an enhanced constraint vector comprising an average value based at least in part on the first set of historical vectors and a standard deviation value based at least in part on the second set of historical vectors. The embodiment generates an employee schedule using an optimization algorithm subject to a plurality of schedule constraints that include the enhanced constraint vector. The embodiment then transmit data for initiating a notification regarding availability of the employee schedule.

Abstract: The disclosure includes a computer-implemented method for providing fast data access after a drive failure, a computer program product, and a RAID controller. One embodiment may comprise identifying a RAID array, the RAID array comprising a plurality of storage volumes, identifying an unused block of a provisioned volume in the RAID array, and copying a redundant copy of high value host writes to the unused block. The copying may comprise, for primary strips in the RAID array, creating one or more secondary strips mirroring the primary strips such that each of pair of primary-secondary strips reside on different storage volumes from each other.

Abstract: Provided is a technique for matching different user representations of a person in a plurality of computer systems may be provided. The technique includes collecting information sets about user representations from a plurality of computer systems; normalizing the information sets to a unified format; grouping the information sets in the unified format into indexing buckets based on a user name using a non-phonetic algorithm; determining a similarity score for each pair of information sets in each of the indexing buckets; classifying each information set pair into a set of classes based on the similarity scores, wherein the set of classes comprise at least matches and non-matches; and using a data structure for merging information of information set pairs classified as matches.

Abstract: Prioritizing crawled data in a document store for reprocess operations. Reprocessing occurs upon a triggering change to configurations. Prioritization is based on the status of the crawled data with respect to an ACL. During reprocessing, the crawled data is reprocessed in an order defined by assigned priority levels.

Abstract: An embodiment includes converting an original audio signal to an original text string, the original audio signal being from a recording of the original text string spoken by a specific person in a source language. The embodiment generates a translated text string by translating the original text string from the source language to a target language, including translation of a word from the source language to a target language. The embodiment assembles a standard phoneme sequence from a set of standard phonemes, where the standard phoneme sequence includes a standard pronunciation of the translated word. The embodiment also associates a custom phoneme with a standard phoneme of the standard phoneme sequence, where the custom phoneme includes the specific person's pronunciation of a sound in the translated word. The embodiment synthesizes the translated text string to a translated audio signal including the translated word pronounced using the custom phoneme.

Abstract: An interrupt signal is provided to an operating system executed using one or more processors of a plurality of processors. A bus attachment device receives an interrupt signal with an interrupt target ID identifying a processor assigned for use as a target processor for handling the interrupt signal. The bus attachment device translates the received interrupt target ID to a processor ID using an interrupt table entry and forwards the interrupt signal to the target processor for handling. The processor ID is used to address the target processor directly.

Abstract: Embodiments include a method for fault tolerance in the delivery of event information within a file system cluster. One or more processors to determine event information associated with file system activity performed by a node of the cluster. The one or more processors add the event information to an event log buffer in memory. The one or more processors receive a first log sequence number (LSN) associated with flushing of recovery information from a recovery log buffer. The one or more processors determine the event information in the event log buffer having a log sequence number less than or equal to the first log sequence number, and determining the event information includes log sequence numbers less than or equal to the first log sequence number, the one or more processors flush the corresponding event information from the event log buffer to disk storage.

Abstract: Methods and systems for locking a cache line of a cache. A cache line is locked based on a count of a plurality of threads that access the cache line and maintained in the cache until all of the plurality of threads have loaded the cache line.

Abstract: Embodiments for using an intelligent transaction optimization assistant by a processor. One or more actions to enhance a transaction experience of one or more users may be provided according to one or more selected constraints learned via a machine learning operation from previous transaction experiences, user behavior relating to the one or more previous transaction experiences, transaction experiences shared amongst entities associated with a social network, or a combination thereof.

Abstract: A system and method for launching parallel processes on a server configured to process a number of parallel processes. A request is received from a parallel application to start a number of parallel processes. In response to this request a launcher creates a surrogate. The surrogate inherits communications channels from the launcher. The surrogate then executes activities related to the launch of the parallel processes, and then launches the parallel processes. The parallel processes are launched and the surrogate is terminated.

Abstract: Documents needing to be analyzed for various reasons, such as financial crimes, are ranked by examining the topicality and sentiment present in each document for a given subject of interest. In one approach a given document is classified to determine its category, and entity recognition is used to identify the subject of interest. Passages from the document that relate to the entity are grouped and analyzed for sentiment to generate a sentiment score. Documents are then ranked based on the sentiment scores. In another approach, a classification probability score is computed for each passage representing a likelihood that the passage relates to a category of interest, and the document is ranked based on the sentiment scores and the classification probability scores. The category classification uses an ensemble of natural language text classifiers. One of the classifiers is a naïve Bayes classifier with feature vectors generated using Word2Vec modeling.

Abstract: Detecting resource errors in a heterogeneous computing environment is provided. A plurality of individual resource dependency graphs corresponding to a plurality of computing systems that comprise the heterogeneous computing environment is consolidated to form a consolidated resource dependency graph. An analysis of respective nodes representing respective resources of the heterogeneous computing environment in the consolidated resource dependency graph is performed to identify a resource error caused by a new resource being added to a computing system of the plurality of computing systems based on defined rule sets. It is determined whether the new resource causes an error to sibling resources at a same level under a parent resource in the consolidated resource dependency graph based on the analysis. In response to determining that the new resource does not cause an error to the sibling resources, the new resource is deployed in the computing system of the heterogeneous computing environment.

Abstract: An example operation may include one or more of generating a snapshot of a state of a permissioned blockchain, generating a unique identifier of the state snapshot that distinguishes the state snapshot from other state snapshots of the permissioned blockchain, storing the state snapshot in a data store, and storing proof of the state snapshot including the unique identifier and a storage location of the state snapshot on a public blockchain.

Abstract: A method and a computer program product are used generating an index of a scoring payload dataset. Correlation coefficients for correlations between input data values and output data values of the machine learning model provided by the scoring payload datasets as well as performance data values of the processes provided by process datasets are calculated. Features of which feature values are used as input data values are ranked according to their importance using the correlation coefficients. For the features of a set of highest-ranking features feature value sets with feature values of the respective features are selected from the scoring payload datasets and a database index of the selected feature value sets is generated.