Abstract: Embodiments of the present specification disclose data monitoring methods, apparatuses, electronic devices, and computer readable storage media. In an embodiment, a method comprising: receiving, from a network device, data at a frequency range higher than a predetermined frequency; determining whether the data belongs to a currently monitored data interval; in response to determining that the data does not belong to the currently monitored data interval, determining whether the data belongs to an abnormal data interval of a plurality of abnormal data intervals; in response to determining that the data belongs to the abnormal data interval, updating the abnormal data interval based on the data; and updating the currently monitored data interval to be the abnormal data interval in response to determining that the abnormal data interval satisfies a predetermined condition.

Abstract: A storage system comprises a plurality of storage devices, and is configured to establish a redundant array of independent disks (RAID) arrangement comprising a plurality of stripes, with each of the plurality of stripes comprising a plurality of blocks, the blocks being distributed across multiple ones of the storage devices. In conjunction with establishment of the RAID arrangement, the storage system is further configured, for each of the plurality of stripes, to designate a particular one of the storage devices as a spare storage device for that stripe, and for each of the storage devices, to determine numbers of the stripes for which that storage device is designated as a spare device for respective ones of the other storage devices. A particular number of spare blocks is reserved for each of the storage devices based at least in part on its determined numbers of the stripes.

Abstract: A system for automated testing of functionally complex systems, comprising a test manager, a test execution module, and a correlation engine, is disclosed. The test manager module causes tests to be executed by the test execution engine, and on detection of an anomalous test result, the test manager module at least causes additional testing to be performed and causes the correlation engine module to analyze the results of at least some of the additional testing in order to isolate at least one component exhibiting anomalous behavior.

Abstract: The systems and methods provide an action recognition and analytics tool for use in manufacturing, health care services, shipping, retailing and other similar contexts. Machine learning action recognition can be utilized to determine cycles, processes, actions, sequences, objects and or the like in one or more sensor streams. The sensor streams can include, but are not limited to, one or more video sensor frames, thermal sensor frames, infrared sensor frames, and or three-dimensional depth frames. The analytics tool can provide for kitting products, including real time verification of packing or unpacking by action and image recognition.

Abstract: Techniques are provided for online anomaly detection using pairwise agreement in a heterogeneous model ensemble. An exemplary contextual model agreement network comprises nodes and transition edges between the nodes, where each node corresponds to a machine learning model and the transition edges between corresponding pairwise machine learning models encode a level of historical agreement between the pairwise machine learning models. In response to an availability of new data observations: features present in the data observations are extracted; a subset of the machine learning models is selected from the machine learning models based on the extracted features; the historical agreement between the selected machine learning models is compared with a current agreement of the selected machine learning models; and an anomaly is detected in the data observations based on the comparison. The contextual model agreement network is optionally updated based on new data observations.

Abstract: A storage system comprises a plurality of storage devices, and is configured to establish a redundant array of independent disks (RAID) arrangement comprising a plurality of stripes, with each of the plurality of stripes comprising a plurality of blocks, the blocks being distributed across multiple ones of the storage devices. In conjunction with establishment of the RAID arrangement, the storage system is further configured, for each of the plurality of stripes, to designate multiple ones of the storage devices as respective spare devices for that stripe, and for each of the storage devices, to determine numbers of the stripes for which that storage device is designated as a spare device for respective ones of the other storage devices in each of multiple spare levels and for each of multiple failure combinations. A particular number of spare blocks is reserved for each of the storage devices using the determined numbers.

Abstract: A log transmission apparatus is a log transmission apparatus connected to a log collection apparatus via a communication network, and includes an application execution unit which outputs a log, an environment change management unit which generates an environment code as information indicating a change in a state of the log transmission apparatus, and a transmission unit which transmits the log and the environment code to the log collection apparatus, in which the environment change management unit generates the environment code indicating a change in the state during a period from a previous output to present output of the log by the application execution unit.

Abstract: Provided are a computer program product, system, and method to transfer track format information for tracks in cache at a primary storage system to a secondary storage system to which tracks are mirrored to use after a failover or failback. In response to a failover from the primary storage system to the secondary storage system, the primary storage system adds a track identifier of the track and track format information indicating a layout of data in the track, indicated in track metadata for the track in the primary storage, to a cache transfer list. The primary storage system transfers the cache transfer list to the secondary storage system to use the track format information in the cache transfer list for a track staged into the secondary cache having a track identifier in the cache transfer list.

Abstract: A method for handling load faults in an out-of-order processor is described. The method includes detecting, by a memory ordering buffer of the out-of-order processor, a load fault corresponding to a load instruction that was executed out-of-order by the out-of-order processor; determining, by the memory ordering buffer, whether instant reclamation is available for resolving the load fault of the load instruction; and performing, in response to determining that instant reclamation is available for resolving the load fault of the load instruction, instant reclamation to re-fetch the load instruction for execution prior to attempting to retire the load instruction.

Abstract: Embodiments of the present disclosure provide a method and apparatus for determining a cause of performance degradation of a storage system. The method comprises: monitoring performance of the storage system according to a predetermined policy; generating a performance degradation event from a result of the monitoring based on system performance baseline; in response to performance degradation event, obtaining information about the performance degradation; and offline analyzing the information to determine the cause of the performance degradation. Compared with the prior art, embodiments of the present disclosure can manage the system performance degradation effectively and continuously to minimize running costs and enable current performance profiling tools in the manner of insertion.

Abstract: A method by a computing device of a dispersed storage network (DSN) begins by determining whether alternate form data (AFD) exists for a data object. When the alternate form data does not exist, the method continues by identifying a content derivation function in accordance with an AFD policy of the DSN. The method continues by identifying a portion of the data object based on the content derivation function and identifying one or more sets of encoded data slices of a plurality of sets of encoded data slices corresponding to the portion of the data object. The method continues by generating at least a portion of the AFD based on the one or more sets of encoded data slices. The method continues by storing the at least a portion of the AFD within memory of the DSN in accordance with a storage approach.

Abstract: A storage device includes a non-volatile memory including a plurality of memory groups; and a memory controller configured to determine a monitoring group from among the plurality of memory groups, determine a monitoring block from among a plurality of blocks included in the monitoring group, and determine whether the monitoring group is a fail group by monitoring the monitoring block using dummy data prior to failure of the monitoring group.

Abstract: A method is provided for analyzing log message content. The computer-implemented method may include detecting, by at least one processor, log messages in an application code, identifying a log level assigned to each of the log messages, and performing natural language processing (NLP) analysis on each of the log messages by using at least keyword and synonym matching percentage analysis criteria. The computer-implemented method may further include determining, in response to the NLP analysis, a severity score of each of the log messages, and reclassifying, based on the severity score, the assigned log level of one or more of the log messages to a different log level.

Abstract: Several embodiments of memory devices and systems for real time block failure analysis are disclosed herein. In one embodiment, a system includes a memory array including a plurality of memory cells and a processing device coupled to the memory array. The processing device is configured to sense, in response to detection of an error associated with a subset of a plurality of memory cells of the memory device, a state associated with each memory cell of the subset of the plurality of memory cells. The processing device is further configured to store state distribution information in a persistent memory, the state distribution information comprising the sensed state associated with each memory cell of the subset.

Abstract: Techniques are described for enabling users to create reservations for compute capacity at a service provider network intended for use in disaster recovery scenarios. A service provider can use separate geographic areas (sometimes referred to as “regions” or “availability zones”) defined by the service provider network to enable users to share reservations of compute capacity intended for use in disaster recovery scenarios. A disaster recovery launch reservation (DRLR) is a reservation of a given unit of compute capacity that is unique to a source geographic area (that is, a defined area of the service provider network containing computing resource(s) for which a user desires to obtain backup compute capacity) and a destination area (that is, a defined area of the service provider network at which the reserved compute capacity is located), where other users can reserve the compute capacity relative to other source geographic area-to-destination geographic area mappings.

Abstract: Technologies are provided for retrieving service level indicators (SLIs) for storage devices, prioritizing data access using the SLIs, and scheduling storage device maintenance based on the SLIs. A host computer can retrieve an SLI for a storage device and determine, using the SLI, whether the storage device is performing service and maintenance operations and/or whether the storage device is in need of performing service and maintenance operations. The host computer can retrieve SLIs for multiple storage devices storing data redundantly and prioritize using the storage devices to access the data based on the SLIs. If the host computer determines that a storage device is in need of maintenance, based on its SLI, the host computer can schedule the storage device for maintenance and divert data access requests to other storage devices until the maintenance is complete.

Abstract: A processing device maintains a data structure for a set of process flows executing on one or more processing cores of a storage system. The data structure comprises entries identifying particular execution instances of one or more persistence point functions, each modifying persistent state, with the execution instances having been designated as tested in conjunction with testing of one or more process flows of the set of process flows. The processing device detects an execution instance of a persistence point function of a given one of the process flows, determines whether or not the detected execution instance of the persistence point function has a corresponding entry in the data structure, and responsive to the detected execution instance of the persistence point function not having a corresponding entry in the data structure, initiates a test of the given process flow that includes the detected execution instance of the persistence point function.

Abstract: A method may include, in a host information handling system configured to be inserted into a chassis providing a common hardware infrastructure to a plurality of modular information handling systems including the information handling system: (i) determining a runtime health status of a persistent memory subsystem of the host information handling system; and (ii) communicating a health status indicator indicative of the runtime health status to a management module configured to manage the common hardware infrastructure.

Abstract: Disclosed are devices and methods for improving the initialization of devices housing memories. In one embodiment, a method is disclosed comprising writing a test program to a first region of a memory device during production of the memory device; executing a self-test program in response to detecting a first power up of the memory device, the self-test program stored within the test program; and retrieving and installing an image from a remote data source in response to detecting a subsequent power up of the memory device, the retrieving performed by the test program.

Abstract: Systems, methods, and devices for retrying a query. The method includes receiving from a client a query directed to database data stored on a database platform the query being received by a first component of the database platform. The method includes making by the first component an attempt to execute the query and based on determining that the attempt to execute the query was unsuccessful, the first component sending a query retry job to a second component of the database platform. The method includes selecting by the second component based at least in part on the indicated version of the database platform a version of the database platform on which to attempt a first retry attempt to execute the query.