Abstract: A data error correction circuit and a data transmission circuit are disclosed. The data error correction circuit includes: a decoding circuit having an input terminal connected to a data bus, and configured to receive first data and a check code of the first data and output an error correction code of the first data based on the check code; and an error correction latch module having a first input terminal connected to the data bus and a second input terminal connected to an output terminal of the decoding circuit, and configured to latch the first data corresponding to the error correction code and generate and output second data according to the error correction code and the corresponding first data.

Abstract: Systems and methods for a controller including controller memory and logic are presented herein. The logic is configured to control access to a persistent storage media and, in response to one or more commands, the logic determines an intermediate parity value based on a first parity calculation, and using the intermediate parity value determines a final parity value based on the intermediate parity value and a second parity calculation. Determining the intermediate parity value includes sending a uni-directional command to read an old data value from an address indicated in the uni-directional command, perform an exclusive-or operation on the old data value and a new data value indicated in the uni-directional command to determine the intermediate parity value and store, in the persistent storage media, the intermediate parity value at a location associated to an index indicated in the uni-directional command.

Abstract: A method includes decoding, by at least one hardware processor, a notification of a changed database code of a database. A query is executed responsive to the notification. The query indicates a data processing command and a data object in the database. A regression in the changed database code is detected based on multiple regression testing operations applied to the data processing command and the data object. Analysis of the regression is performed to detect a rollout parameter of a plurality of rollout parameters as a root cause of the regression. The plurality of rollout parameters are associated with the changed database code. A determination is made on whether to perform a mitigation action for the regression based on the rollout parameter.

Abstract: To perform Recovery Point Objective (RPO) driven backup scheduling, the illustrative data storage management system is enhanced in several dimensions. Illustrative enhancements include: streamlining the user interface to take in fewer parameters; backup job scheduling is largely automated based on several factors, and includes automatic backup level conversion for legacy systems; backup job priorities are dynamically adjusted to re-submit failed data objects with an “aggressive” schedule in time to meet the RPO; only failed items are resubmitted for failed backup jobs.

Abstract: One example method includes identifying a cloud object as a potential candidate for defragmentation, evaluating the cloud object to determine what portion of segments of the cloud object are expired, when the portion of expired segments meets or exceeds a threshold, segregating the expired segments and unexpired segments of the cloud object, creating a first new cloud object that includes only unexpired segments, creating a second new cloud object that includes only expired segments, and deleting the cloud object from storage.

Abstract: A backup processing method and a server are provided. The method is applied to a backup system, and the backup system includes a plurality of backup servers. The method includes: dividing, by a master backup server in the plurality of backup servers, a backup task into a plurality of child backup tasks; allocating, by the master backup server, each child backup task to each of the plurality of backup servers; and sending, by the master backup server, the plurality of child backup tasks to respective corresponding backup servers. According to this method, a data backup rate can be improved.

Abstract: Methods, systems, and computer programs are presented for providing backup services to a database. One method includes operations for installing a backup agent in a first database, receiving information about the first database, and executing, by the backup agent, queries to the first database to determine a topology of the first database. Further, the method includes configuring, based on the topology, a receiver service of a second database for backing up the first database in the second database. The backup agent configures an interface module of the first database to back up the first database to the second database. The configuration includes an interface to the receiver service of the second database and connection information for storing data in one or more nodes of the second database. The interface module streams updates from the first database to the second database based on the configuration of the interface module.

Abstract: One example method includes receiving, at an IO journal, a new entry that identifies a respective disk location L, and data X written at that disk location L, and determining whether a location specified in an oldest entry of the IO journal is specified in any other entries in the IO journal. When the location specified in the oldest entry is not specified in any other entries in the IO journal, adding the new entry to the IO journal, and augmenting the new entry with undo data. Or, when the location specified in the oldest entry is specified in at least one other entry in the IO journal, setting data specified in the oldest entry as undo data for the next entry that identifies that location, and adding the new entry to the IO journal, and deleting the oldest entry from the IO journal.

Abstract: A method of operating a storage device may include establishing a connection between a host and the storage device, detecting a crash of the storage device, suspending, based on detecting the crash, processing commands from the host through the connection, recovering from the crash of the storage device, and resuming, based on recovering from the crash, processing commands from the host through the connection. The method may further include notifying the host of the crash based on detecting the crash of the storage device. Notifying the host may include sending an asynchronous event notification to the host through the connection. Notifying the host may include asserting a controller status indicator. The method may further include receiving a reset from the host, and resetting a storage interface based on receiving the reset from the host. The method may further include maintaining the connection through a communication interlace.

Abstract: The disclosure describes a method of monitoring the dynamic power consumption of ReRAM crossbars and determines the occurrence of faults when a changepoint is detected in the monitored power-consumption time series. Statistical features are computed before and after the changepoint and train a predictive model using machine-learning techniques. In this way, the computationally expensive fault localization and error-recovery steps are carried out only when a high fault rate is estimated. With the proposed fault-detection method and the predictive model, the test time is significantly reduced while high classification accuracy for well-known AI/ML datasets using a ReRAM-based computing system (RCS) can still be ensured.

Abstract: Disclosed herein are system, method, and computer program product embodiments for automatically failing over all services operating on a primary region to a secondary region upon detection or notification of a fault in the primary region. When a fault exists on the primary region, the method traverses each cluster containing services operating on the primary region and prepares an input file including a list of service names identifying each service operating on the primary region. Referencing the input file, the method fails over each service from the primary region to the secondary region by modifying a service weight corresponding to each service. This failover process of services may be done simultaneously with failing over any databases corresponding to the failed-over services from the primary region to the secondary region. The method may also introduce a sleep time after modifying each service weight to avoid any potential throttling issues.

Abstract: A device management system (1) includes a common certification information acquirer, a certifier, an identification information generator, and a setter. The common certification information acquirer acquires common certification information from a device (10) including a storage for storing the common certification information. The common certification information stored in the storage is shared with another device. The certifier certifies the device (10) based on the common certification information. The identification information generator generates identification information for identification of the device (10) certified by the certifier. The setter sets the identification information to the device (10).

Abstract: Current physical resources utilization of a computing system as a whole is monitored. The number of queries concurrently being executed against a database by a database management system (DBMS) running on a computing system is monitored. A query plan for a received query to be executed against the database is generated. The query plan includes operators; the generation of the query plan includes generation of query-based statistics for the received query on a per-operator basis without consideration of the queries concurrently being executed. An estimated execution time of the received query is dynamically predicted using a machine-learning model based on the query-based statistics generated for the received query on the per-operator basis, the current physical resources utilization of the computing system, and the number of queries concurrently being executed. The received query is executed against the database based on the dynamically predicted estimated execution time for the received query.

Abstract: Embodiments herein relate to a method performed by a network node (10) for handling monitoring of applications and/or services in a communication network. The network node (10) obtains an indication associated with a monitoring session to monitor a metric of a service and/or application; and also obtains a location of deployment of the service and/or application. The network node identifies one or more ongoing monitoring sessions for monitoring one or more metrics based on the metric associated with the indication and the location of deployment of the application or service. The network node (10) then selects a monitoring process based on the identification; and triggers the selected monitoring process.

Abstract: A system, method, and computer-readable medium are disclosed for performing a data center monitoring and management operation. The data center monitoring and management operation includes: identifying data center asset data to monitor; collecting data center asset data; and, performing an adaptive update scheduling operation, the adaptive update scheduling operation adaptively adjusting a prioritization and frequency of data center asset data collection to provide adapted data center asset data.

Abstract: An approach is provided in which the approach builds a combination model that includes a normal status model and an abnormal status model. The normal status model is built from a set of time-sequenced normal status records and the abnormal status model is built from a set of time-sequenced abnormal status records. The approach computes a set of time-sequenced coefficient combination values of the normal status model and the abnormal status model based on applying a set of fitting coefficient characteristics to the normal status model and the abnormal status model. The approach performs goal seek analysis on a system using the combination model and the set of time-sequenced coefficient combination values.

Abstract: A digital mirroring method includes creating a digital model for each physical device of a plurality of physical devices located in a physical space. Once a related data of each physical device is obtained, the related data of each physical device is mapped to corresponding digital model.

Abstract: An operation management apparatus (1) includes: a storage unit (11) that stores a plurality of pieces of communication definition information (111), and a plurality of pieces of service definition information (112); a reception unit (12) that receives at least one designation of the service definition information (112) from among the plurality of pieces of service definition information (112); a first specification unit (13) that specifies the communication definition information (111) included in the designated service definition information (112) from among the plurality of pieces of service definition information (112) as specific communication definition information; a second specification unit (14) that specifies the system element of the communication destination defined in the specific communication definition information as a specific system element; and a generation unit (15) that generates output information including the specific system element.

Abstract: Automated query retry includes selecting a first node of a plurality of nodes of an execution platform in response to a query. The first node is configured with a first version of a database platform. A first execution of the query is performed using the first version of the database platform at the first node. The method further includes detecting the first execution results in a failed execution. A second execution of the query is scheduled. The second execution uses at least one of the first version of the database platform or a second version of the database platform configured at a second node of the plurality of nodes. The second version is released after the first version. A cause of the failed execution of the query at the first node is determined based at least in part on a result of the second execution of the query.

Abstract: In one embodiment, an illustrative method herein may comprise: listening, by an agent process, to a discovery-based execution of an application; determining, by the agent process, a plurality of transition locations during the discovery-based execution of the application; recording, by the agent process, the plurality of transition locations into a recorded file; and providing, by the agent process, the recorded file to cause injection of instrumentation into the plurality of transition locations during runtime of the application based on the recorded file.

Abstract: Implementations determine log-in information indicating whether a user of a first application is logged into a target application and/or a website of the target application. In response to the log-in information indicating that the user is logged into the target application but not logged into the website of the target application, a first selectable element can be displayed at a user interface of the first application to receive user input that causes the target application to be opened. In response to the log-in information indicating that the user is not logged into the target application but is logged into the website of the target application, a second selectable element can be displayed at the first application to receive user input that leads to the website of the target application, or the first selectable element can be assigned a deeplink that leads to the website of the target application.

Abstract: Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for code defect detection. The method described here includes determining log information associated with a defect based on the defect reported during testing of a software product. The method further includes determining a nature of the defect based on the log information. The method further includes determining, based on the nature, the log information, and a memory image file generated when the defect is reported, target code in code of the software product that causes the defect, in response to the nature indicating that the defect is caused by the code of the software product and needs to be repaired. By using the solution of the present application, different analysis strategies for defects may be adopted based on natures of the defects, thereby improving the efficiency of detecting code defects.

Abstract: Systems, apparatuses, and methods for implementing a safety monitor framework for a safety-critical computer vision (CV) application are disclosed. A system includes a safety-critical CV application, a safety monitor, and a CV accelerator engine. The safety monitor receives an input image, test data, and a CV graph from the safety-critical CV application. The safety monitor generates a modified image by adding additional objects outside of the input image. The safety monitor provides the modified image and CV graph to the CV accelerator which processes the modified image and provides outputs to the safety monitor. The safety monitor determines the likelihood of erroneous processing of the original input image by comparing the outputs for the additional objects with a known good result. The safety monitor complements the overall fault coverage of the CV accelerator engine and covers faults only observable at the level of the CV graph.

Abstract: Methods and systems for an intelligent technical debt helper may include receiving, via a processor, a level of technical debt associated with a technical debt of a computer program code and determining, via the processor, whether the level of technical debt is greater than a technical debt threshold. The method may also include generating, using an artificial intelligence neural network model communicatively coupled to the processor and based on the computer program code, an automated code recommendation to address the technical debt of the computer program code when the level of technical debt is greater than the technical debt threshold.

Abstract: A method includes receiving, by one or more processors of a computer system, source code, annotating, by the one or more processors of the computer system, features of the received source code using an automated annotation system to provide annotations for the features, relating, by the one or more processors of a computer system, a code execution path of the source code to the features during the annotating, identifying, by the one or more processors of the computer system, a runtime issue associated with the source code, identifying, by the one or more processors of the computer system using a code analytic engine, one or more of the features based on the annotations that are associated with the runtime issue, and automatically disabling, by the one or more processors of the computer system, the identified one or more features associated with the runtime issue.

Abstract: Various systems, methods, and computer program products are provided for dynamically monitoring of changes in coding data. The method includes receiving an execution plan of a data model. The execution plan includes code including one or more processing steps of how data is transformed by the data model. The method also includes retrieving at least one stored code for the data model. The method further includes determining a code change determination value indicating the differences between the code of the data model received in the execution plan and the at least one stored code for the data model. The method further includes generating a code action based upon the code change determination value. The method also includes replacing the stored code for the data model with the code of the data model received in the execution plan in an instance the code change determination value is below a predetermined threshold.

Abstract: A software-development tool can present telemetry data with associated source code. For example, a computing device can identify, by a text editor, source code of a software application that is associated with telemetry data of performance metrics associated with running the source code. The computing device can display, by the text editor, an icon with the source code. The icon can indicate the source code is associated with the telemetry data. The computing device can receive an interaction with the icon. In response to receiving the interaction, the computing device can retrieve, by the text editor, the telemetry data from a telemetry-data repository for display in the text editor.

Abstract: Provided is a method for automated verification of a software program in a Behavior-Driven Development environment and a data processing system configured to execute such a method. Individual test steps of BDD test scenarios are first matched and then assigned to existing test step definitions from a BDD framework. If a one-to-one matching is not possible, natural language processing is used to decide if an assignment is possible with a certain matching probability. The assigned test step definitions are used to generate graphical test models for the test scenarios, e.g., UML diagrams. Finally, executable test scripts are generated to test the software program. The present invention relates particularly to Behavior-Driven Development and combines traditional BDD advantages with Model Based Testing for improved convenience and automatization in case of complex software packages.

Abstract: Systems and methods for testing components or scenarios with execution history are disclosed. A method may include: receiving, at a testing interface and from an application or program executed by a user electronic device, an identification of a test and one or more data layers of a plurality of data layers in pod to test, the plurality of data layers including a data collection layer, a data ingestion layer, a data messaging layer, a data enrichment layer, and a data connect layer; receiving, by the testing interface, a selection of testing parameters or values for the identified test; retrieving, by the testing interface, the identified test; executing, by the testing interface, the identified test on the identified one or more data layers using the selected testing parameters or values; retrieving, by testing interface, results of the execution of the test; and outputting, by the testing interface, the results.

Abstract: This application relates to systems and methods for automatically generating experiments based on experiment requests routed to micro-services (model sub-components) using a prefix-based routing mechanism. In some examples, experiment requests may parsed to determine lower layer services (e.g., components) whose properties need to be changed for a model iteration. Prefixes in requests may be used to route the experiment requests and portions thereof to appropriate services or layers for configuration at the micro-service level. Routing tables at each higher layer may be utilized to determine the correct sub-layers to redirect a request and/or portion thereof. At micro-service level, each micro-service may store and use a configuration table to match a received parameter in a request with a property and its corresponding value for the experiment.

Abstract: A testing platform for an auto-decision engine is disclosed. An auto-test database for a decision engine may be accessed and modified by, for example, executing an application programming interface protocol of a third-party computing system. The decision engine may be bypassed, and a simulated auto-decision may be requested based on a unique key corresponding to a scenario in the auto-test database. A graphical user interface displays information regarding the auto-test database on a user computing device, and one or more output data fields in the auto-test database may be modified.

Abstract: A system and methods to emulate an application executing in real time in a mobile device. The mobile device is emulated in real time using a model running on a processor extrinsic to the mobile device. The model is based on characteristics indicative of performance of the mobile device and/or performance of the operator network. The application is executed in real time within the model and the application executing in the model is monitored to determine resource utilization information by the application and/or by the operator network for the mobile device. The resource utilization information for the mobile device and/or the operator network is displayed.

Abstract: Aspects of the disclosure relate to computing platforms that implement data driven testing through automation using continuous machine learning combined with continuous integration for development testing. A computing platform may extract production data from user interaction with an application, perform a masking operation on the production data to create modified production data, convert the modified production data into a format suitable for machine learning, and generate one or more independent scenarios using machine learning. The computing platform may automatically trigger execution of test scripts associated with the one or more independent scenarios using the modified production data and receive results of the executed test scripts indicating whether a version of the application performs as expected.

Abstract: Provided are techniques for digital twin functional and non-functional simulation testing. An indication is received that digital twin functional and non-functional simulation testing is to start for an application being developed, where a first portion of code for the application has been developed and a second portion of the code for the application has not been developed. Application data and an application landscape are retrieved. The digital twin functional and non-functional simulation testing is performed to identify which functional and non-functional requirements are not being met by the first portion of the code. For the functional and non-functional requirements that are not being met, suggestions are provided for at least one of the first portion and the second portion to meet one or more of the functional and non-functional requirements. One or more of the suggestions are implemented.

Abstract: A technique to control write operations in a logical partition. For example, a device can receive a user specified write threshold for the logical partition that is hosted on a pool of memory cells shared by a plurality of logical partitions in wear leveling. An accumulated amount of data written into the memory cells according to write requests addressing the logical partition is tracked. In response to the accumulated amount reaches the write threshold, further write requests addressing the logical partition can be blocked, rejected, and/or ignored. For example, the logical partition can be used to buffer data for time shift in playing back content streaming from a server. Write operations for time shift can be limited via the user specified threshold to prevent overuse of the total program erasure budget of the pool of memory cells shared with other logical partitions.

Abstract: Various embodiments enable sending a notification to a host system based on an address mapping entry miss (or mismatch) on a memory sub-system, which can facilitate an update of one or more address mapping entries stored on the host system.

Abstract: Techniques for managing lifecycles of sets of foreign resources are disclosed, including: opening, in a runtime environment configured to use a garbage collector to manage memory in a heap, a memory session; allocating a first subset of a set of foreign memory to a memory segment associated with the memory session, the foreign memory including off-heap memory that is not managed by the garbage collector; encountering, in the runtime environment, an instruction to close the memory session; responsive to encountering the instruction to close the memory session, deallocating the subset of the set of foreign memory.

Abstract: A memory view generator evaluates a Liberty file characterizing an NVM module to generate a memory view file for the NVM module. The memory view file includes a port alias identifying ports of the NVM module. The port alias for a set of ports of the NVM module characterizes a type of port in the set of ports. The memory view file includes a port action identifying ports of the NVM module that have a static value and a port access identifying ports of the NVM module that have a dynamic value. The memory view file has an address limit characterizing a number of words in the NVM module and an address partition characterizing address bits and data bits. The memory view file includes a read delay that defines a number of clock cycles needed to hold an address bus stable after a strobe port transitions to an inactive state.

Abstract: Methods, systems, and devices that support variable modulation schemes for memory are described. A device may switch between different modulation schemes for communication based on one or more operating parameters associated with the device or a component of the device. The modulation schemes may involve amplitude modulation in which different levels of a signal represent different data values. For instance, the device may use a first modulation scheme that represents data using two levels and a second modulation scheme that represents data using four levels. In one example, the device may switch from the first modulation scheme to the second modulation scheme when bandwidth demand is high, and the device may switch from the second modulation scheme to the first modulation scheme when power conservation is in demand. The device may also, based on the operating parameter, change the frequency of the signal pulses communicated using the modulation schemes.

Abstract: A computing system with a first instruction of an instruction set architecture (ISA) for write-back and invalidation in a hierarchical cache structure based on one single designated key identification code, and a second instruction of ISA for write-back and invalidation in the hierarchical cache structure based on a plurality of designated key identification codes is shown. A decoder transforms the first or second instruction into at least one microinstruction. Based on the at least one microinstruction, one write-back and invalidation request is provided corresponding to each designated key identification code, to be passed to the hierarchical cache structure through a memory ordering buffer. For each write-back and invalidation request, the cache line write-back and invalidation regarding a designated key identification code is performed on a last-level cache first, and then is performed on the in-core cache modules.

Abstract: Techniques are disclosed relating to filtering messages. A computer system may detect an occurrence of an event of a particular type. The computer system may determine whether to enqueue, in a message queue, a message that identifies a set of tasks to be performed in relation to the event. The determination may be based on a response received from a cache that stores a subset of filter rules of a filter rules table. Based on the response indicating a cache miss, the computer system may enqueue the message in the message queue. A process that processes the message may be operable to resolve the cache miss by 1) accessing a filter rule from the filter rules table that indicates whether messages for events of the particular type should be enqueued in the message queue and 2) updating the cache to store the filter rule.

Abstract: A computing method and device with data sharing are provided. The method includes loading, by a loader, input data of an input feature map stored in a memory in loading units according to a loading order, storing, by a buffer controller, the loaded input data in a reuse buffer of an address rotationally allocated according to the loading order, and transmitting, by each of a plurality of senders, to an executer respective input data corresponding to each output data of respective convolution operations among the input data stored in the reuse buffer, wherein portions of the transmitted respective input data overlap other.

Abstract: Disclosed is a method for enhancing memory utilization and throughput of a computing platform in training a deep neural network (DNN). The critical features of the method includes: calculating a memory size for every operation in a computational graph, storing the operations in the computational graph in multiple groups with the operations in each group being executable in parallel and a total memory size less than a memory threshold of a computational device, sequentially selecting a group and updating a prefetched group buffer, and simultaneously executing the group and prefetching data for a group in the prefetched group buffer to the corresponding computational device when the prefetched group buffer is update. Because of group execution and data prefetch, the memory utilization is optimized and the throughput is significantly increased to eliminate issues of out-of-memory and thrashing.

Abstract: Techniques are provided for managing metadata of a storage system. A storage control system manages a storage metadata structure which comprises metadata items for accessing data items in a storage system comprising a persistent write cache and a primary storage. The storage metadata structure comprises a first metadata structure that is configured to organize metadata items received from the write cache at a first granularity, and a second metadata structure that is configured to organize metadata items received from the first metadata structure at a second granularity, wherein the second granularity is greater than the first granularity. The storage control system utilizes the storage metadata structure to access data items in the persistent write cache and the primary storage.

Abstract: For a non-volatile memory that uses hard bit and a soft bit data in error correction operations, architectures are introduced for the compression of the soft bit data to reduce the amount of data transferred over the memory's input-output interface. For a memory device with multiple planes of memory cells, the internal global data bus is segmented and a data compression circuit associated with each segment. This allows soft bit data from a cache buffer of a plane using one segment to transfer data between the cache buffer and the associated compression circuit concurrently with transferring data from a cache buffer of another plane using another segment, either for compression or transfer to the input-output interface.

Abstract: Methods, apparatus, systems and articles of manufacture to control address space isolation in a virtual machine are disclosed. An example apparatus includes an address width adjustor to identify a memory width value corresponding to a guest memory associated with a virtual machine (VM), and generate an expanded emulated memory width value. The example apparatus also includes a memory mirror manager to generate a first guest physical address (GPA) range based on the memory width value, and generate a second GPA range based on the expanded emulated memory width value. The example apparatus also includes an EPT generator to generate root paging structures of a first type of EPT with respective addresses within the first GPA range, and generate root paging structures of a second type of EPT with respective addresses within (a) the first GPA range and (b) the second GPA range.

Abstract: A method for hardware assisted data lookup in a storage unit is provided. The method includes formatting data in at least one of a plurality of data formats for storage in the storage unit. The method includes configuring a logic unit with one or more parameters associated with the plurality of data formats and identifying incoming data with the one or more parameters as an instruction for execution.

Abstract: For a non-volatile memory that uses hard bit and a soft bit data in error correction operations, an on-the-fly compression scheme is used for the soft bit data. As soft bit data is transferred to a memory's input-output interface, the soft bit data is compressed prior to transmission to the an ECC engine memory controller, while hard bit data is transferred in un-compressed form.

Abstract: An example method may include determining whether a preemption flag associated with a first input/output (I/O) handling thread is equal to a first value indicating that preemption of the first I/O queue handling thread is forthcoming, wherein the first I/O queue handling thread is executing on a first processor, the first I/O queue handling thread is associated with a first set of one or more queue identifiers, and each queue identifier identifies a queue being handled by the first I/O queue handling thread, and, responsive to determining that the preemption flag is equal to the first value, transferring the first set of one or more queue identifiers to a second I/O queue handling thread executing on a second processor. Transferring the first set of queue identifiers may include removing the one or more queue identifiers from the first set.

Abstract: An apparatus has first-in, first-out buffer circuitry to transfer data from a source domain to a sink domain across a clock domain boundary. The FIFO buffer circuitry has data transfer circuitry; source domain and sink domain data transfer control circuitry to maintain state vectors indicative of a state of the FIFO buffer circuitry in the respective domain; and synchronisation circuitry in each of the source domain and the sink domain to stabilise a signal received from the other of the source domain and the sink domain and to store the received state vector. The synchronisation circuitry is clock-gated by an enable signal and the synchronisation circuitry is responsive to a change in the state of the FIFO buffer circuitry in the respective domain to advance the respective state vector by controlling the enable signal to enable output of elements of the received state vector.