Abstract: Exemplary methods, apparatuses, and systems include receiving a plurality of read operations. The read operations are divided into a current set of a sequence of read operations and one or more other sets. The size of the current set is a first number of read operations. An aggressor read operation is selected from the current set. A first data integrity scan is performed on a victim of the aggressor and a first indicator of data integrity is determined based on the first data integrity scan. A scaling factor is determined using the indicator of data integrity and a number of program erase cycles for the portion of memory. The set size of read operations is adjusted to a second number of read operations using the scaling factor for a subsequent set.

Abstract: A non-transitory computer-readable recording medium stores a failure cause identification program for causing a computer to execute a process including: collecting process information related to one or more processes that operate in a container environment; obtaining a derivative relationship of a process for each container on the basis of the process information; generating symbol information in which a function of each of the processes is associated with a container in which each of the processes operates according to the derivative relationship of the process for each container; generating an aggregation result in which a frequency of the function is aggregated according to the symbol information; and identifying a cause at a time of failure occurrence on the basis of the aggregation result.

Abstract: Embodiments of the present disclosure relate to a memory system and an operating method thereof. The memory system may include a first processor and a second processor. The first processor is configured to manage or process a main read count table including a plurality of first read count table entries each corresponding to one of a plurality of super memory blocks. The second processor is configured to manage or process, when an error occurs during an operation of reading data stored in one of the plurality of super memory blocks, a partial read count table including a read count table entry including information on a count of the read operation executed during a recovery operation for the error, and transmit an update message to the first processor for updating the main read count table based on the partial read count table.

Abstract: An electronic device for diagnosing a fault of a plurality of external devices is disclosed. The electronic device comprises a communication unit and a processor.

Abstract: Techniques for achieving application high availability via application-transparent battery-backed replication of persistent data are provided. In one set of embodiments, a computer system can detect a failure that causes an application of the computer system to stop running. In response to detecting the failure, the computer system can copy persistent data written by the application and maintained locally at the computer system to one or more remote destinations, where the copying is performed in a manner that is transparent to the application and while the computer system runs on battery power. The application can then be restarted on another computer system using the copied data.

Abstract: A method of simulating device state changes in an integrated system includes receiving a transaction request from a client device, storing the transaction request as a first event in an event log, transmitting the transaction request to a terminal device, storing the transmission of the transaction request as a second event in the event log, receiving a device response from the terminal device, storing the device response as a third event in the event log, and when the integrated system is under test, a simulator replays the stored events in the integrated system under test.

Abstract: A data storage device includes a memory device having a plurality of blocks and a controller coupled to the memory device. The controller is configured to determine that an uncorrectable error correction code (UECC) failure has occurred to a block of the plurality of blocks, enable a UECC anti-strike mechanism, and erase the block. The UECC anti-strike mechanism comprises converting a read failure associated with the block to an erase failure. The controller is further configured to retire the block upon determining that the erase is unsuccessful.

Abstract: A memory system includes a memory device and a processing device, operatively coupled to the memory device. The processing device performs operations comprising: identifying an operating temperature of the memory device; determining that the operating temperature satisfies a temperature condition; modifying a scan frequency parameter for performing a scan operation on representative blocks of a set of blocks in the memory device; and performing the scan operation at a frequency identified by the scan frequency parameter.

Abstract: A method and system for detecting ransomware and repairing data following an attack. The method includes, collecting file statistics for files in a file system, identifying an affected file based on collected file statistics, locking down of access to the file system in response to identifying the affected file, undoing of reconcile processing, repairing the affected files, and unlocking access to the file system. The system includes a computer node, a file system, a plurality of disc storage components, a backup client, a backup client, and a hierarchical storage client. The hierarchical storage client is configured to collect file statistics for files in file system, identify affected files based on collected file statistics for the file, lock down of access to the file system in response to an identified affected file, undo reconcile processing, repair the affected file; and unlock access to the file system.

Abstract: The present invention relates to computerized (“smart”) mobile electronic devices and more particularly, to a system and methods of diagnosing and repairing malfunctions in smart mobile electronic devices, including a diagnostic process that utilizes decisions based on Big Data that holds information of multiple devices and offers a “disable components” (i.e., turn-off components) solution in order to overcome the problem without flashing a firmware or doing a factory-reset.

Abstract: Due to the threat of virus attacks and ransom ware, an apparatus and methods for protecting backup storage devices from malicious software virus attacks is explored. An independent backup storage system is connected to a primary storage server over an undiscoverable communications line. The backup storage system is a read-only backup storage system most of the time buffering the backup storage system from a virus or attack on the primary storage server. The backup storage system changes from a read-only backup storage system to a read/write backup storage system only during a backup window of time where data is backed up to the backup storage system. A snapshot of the backup data is maintained in the backup storage system and can be made available at numerous points of time in the past if the data primary storage server becomes corrupted.

Abstract: In an embodiment of the present disclosure, a prior probability is used by an approach of Bayesian statistics, for all nodes stored in fault handling history data or for a target node for which a fault cause has been identified and all nodes of the same type as the target node, restoration probabilities of handling methods for an identical fault cause are calculated, priorities are set for the handling methods based on the calculated restoration probabilities, and a handling method to be presented is determined in accordance with the priorities.

Abstract: The invention relates to a device and a method (100) for determining a technical incident risk value in an infrastructure (5), said method comprising: a step of receiving (120) performance indicator values, a step of identifying (140) anomalous performance indicators, so as to identify abnormal values, and identifying performance indicators associated with these abnormal values, a step of determining (150) at-risk indicators, comprising an identification of performance indicators of the computing infrastructure that are correlated with the identified anomalous indicators, a step of creating (160) an augmented anomalies vector, comprising the identifiers of the identified anomalous indicators and the identifiers of the determined at-risk indicators, a determination step (170), comprising the comparison of the augmented anomalies vector with predetermined technical incident reference data.

Abstract: A method, computer program product, and computing system for identifying a replication link failure between a first volume of a first storage array and a second volume of a second storage array, wherein a first storage protocol identifier is associated with each of the first volume and the second volume. One of the first volume and the second volume may be defined as inaccessible and the other of the first volume and the second volume as accessible, thus defining an inaccessible volume and an accessible volume. The first storage protocol identifier associated with the inaccessible volume may be replaced with a second storage protocol identifier. Access to the inaccessible volume may be provided via the second storage protocol identifier.

Abstract: A continuous anomaly detection service receives data stream and performs continuous anomaly detection on the incoming data streams. This continuous anomaly detection is performed based on anomaly detection definitions, which define a signal used for anomaly detection and an anomaly detection configuration. These anomaly detection definitions can be modified, such that continuous anomaly detection continues to be performed for the data stream and the signal, based on the new anomaly detection definition.

Abstract: Methods, systems, and apparatus for parallel optimization of continuously running quantum error correction by closed-loop feedback. In one aspect, a method includes continuously and effectively optimizing qubit performance in-situ whilst an error correction operation on the quantum system is running. The method directly monitors the output from error detection and provides this information as feedback to calibrate the quantum gates associated with the quantum system. In some implementations, the physical qubits are spatially partitioned into one or more independent hardware patterns, where the errors attributable to each hardware pattern are non-overlapping. The one or more different sets of hardware patterns are then temporarily interleaved such that all physical qubits and operations are optimized. The method allows for the optimization of each section of a hardware pattern to be performed individually and in parallel, and can result is O(1) scaling.

Abstract: A failure estimation support device 2 includes: a first calculation unit 21 configured to calculate single failure occurrence probabilities of individual single rules for each single rule relating to a single failure from past failure occurrence data; a second calculation unit 22 configured to calculate multiple failure occurrence probabilities that multiple failures occur in association for each combination of multiple single rules using the single failure occurrence probabilities; and a correlation rule generation unit 23 configured to select the combination of the multiple failure occurrence probabilities greater than a predetermined threshold among the multiple failure occurrence probabilities as a correlation rule, and the correlation rule is used as training data for making a learned model which estimates a failure factor perform machine learning together with the single rule.

Abstract: Embodiments of the present disclosure include a method, an electronic device, and a computer program product for training a failure analysis model. In a method for training a failure analysis model in an illustrative embodiment, at least one set of log files including multiple preprocessed log files is obtained, the at least one set of log files including a marked failure cause of a storage system, and preprocessed log files in the multiple preprocessed log files including one or more potential failure causes of the storage system and scores associated with the potential failure causes; a failure cause of the storage system is predicted according to a failure analysis model and based on the potential failure causes and the scores in the multiple preprocessed log files; and parameters of the failure analysis model are updated based on a probability that the predicted failure cause is the marked failure cause.

Abstract: Generating any point in time backups from secondary storage without native snapshot generation and providing failover capabilities from a primary storage. Data or IOs from a source are distributed to both the primary storage and the secondary storage. When a disaster occurs with one of these storages, recovery of one of the storages can be achieved using a delta marker and data from the other of the storages.

Abstract: A data processing system comprising: a memory system comprising a plurality of memory devices, each of which comprises a first error correction unit and a plurality of cell array regions each having a plurality of memory cells coupled in an array to a plurality of word lines and a plurality of bit lines; and a host comprising a second error correction unit for correcting an error of data transferred from the memory system, and suitable for generating error correction information on the error correction operation of the second error correction unit, setting error correcting strengths to the respective memory devices using the error correction information and log information, and performing counter-error operations on the respective memory devices according to the error correcting strengths.