Abstract: One or more techniques and/or computing devices are provided for resynchronization. For example, a request may be received to create pseudo snapshots of a first consistency group, hosted by a first storage controller, and a second consistency group, hosted by a second storage controller, having a synchronous replication relationship with the first consistency group. Incoming client write requests are logged within an intercept tracking log at the first storage controller. After a first drain without hold of incoming write requests is performed, a first pseudo common snapshot of the second consistency group is created. After a second drain without hold of incoming write operations is performed, a second pseudo common snapshot of the first consistency group and the intercept tracking log is created. The pseudo snapshots and the intercept tracking log (e.g., indicating a delta between the pseudo snapshots) are used to resynchronize the first and second consistency groups.

Abstract: Operations are monitored that involve a plurality of servers coupled to a plurality of data storage enclosures via a rack-level, storage networking fabric. The servers are operable to provide data storage services utilizing the data storage enclosures via a network. The data storage enclosures each have one or more data storage devices. The servers and the data storage enclosures are mounted within a data center rack. A failed unit determined that includes a failed one of the servers or a failed one of the data storage devices within a selected one of the data storage enclosures. A replacement is found for the failed unit within the data center rack, and the replacement is established for the failed unit within the data center rack. The establishment of the replacement involves establishing a new connection via the storage networking fabric.

Abstract: A system and method for performing a failure analysis on a computing system uses a Bayesian network that is generated from a correlation directed acyclic graph (CDAG) of nodes that represent entities in the computing system with edge weights for edges between the nodes. The CDAG is generated using log entries of the computing system with reference to a dictionary file, which specifies entity types, dependency types of the entity types, expressions that return values representing prior probabilities of failure for the dependency types, and the edge weights for the dependency types. The Bayesian network generated from the CDAG includes conditional probabilities for edges of the Bayesian network based on the edge weights of the CDAG. The Bayesian network is used to compute posterior probabilities of possible causes of a new failure event in the computing system and output at least one probable cause with an associated posterior probability for the new failure event.

Abstract: Described is an improved approach to implement fast detection of node death. Instead of just relying on multiple heart beats to fail in order to determine whether a node is dead, the present approach performs an on demand validation using RDMA to determine whether the node is reachable, where the approach of using RDMA is significantly faster than the heartbeat approach.

Abstract: The present disclosure provides methods, systems, and non-transitory computer readable media for performing data transfers with improved error encoding. The methods include receiving a request for data transfer from a source medium in the data storage system to a destination medium in the data storage system, wherein the data storage system comprises a computer cluster and a storage cluster; determining whether the source medium and the destination medium are within the storage cluster; based on the determination of whether the source medium and the destination medium are within the storage cluster, transferring the data from the source medium to the destination medium, wherein: the data is transferred without performing error correcting code check when the data is transferred within the storage cluster, and the data is transferred with an error correcting code check when the data is transferred between the computer cluster and the storage cluster.

Abstract: The embodiments described herein describe technologies for non-volatile memory persistence in a multi-tiered memory system including two or more memory technologies for volatile memory and non-volatile memory.

Abstract: The present disclosure includes apparatuses and methods related to hybrid memory management. An example apparatus can include a first memory array, a number of second memory arrays, and a controller coupled to the first memory array and the number of second memory arrays configured to execute a write operation, wherein execution of the write operation writes data to the first memory array starting at a location indicated by a write cursor, and place the write cursor at an updated location in the first memory array upon completing execution of the write operation, wherein the updated location is a next available location in the first memory array.

Abstract: Described herein are systems and methods for fault tolerance in a network cloud environment. In accordance with various embodiments, the present disclosure provides an improved fault tolerance solution, and improvement in the fault tolerance of systems, by way of failure prediction, or prediction of when an underlying infrastructure will fail, and using the predictions to counteract the failure by spinning up or otherwise providing new component pieces to compensate for the failure.

Abstract: A method for striping based on evaluated rules, the method may include determining a compatibility, with a storage system utilization policy, of storing stripes under evaluated rules; wherein the evaluated rules define a stripe size, a number of parity chunks per stripe, and maximal numbers of chunks within a stripe per different failure domains of different size ranges; checking whether the storing of the stripes is compatible with the storage system utilization policy; when finding that the storing of the stripes is not compatible then searching for one or more changes of one or more of the maximal numbers that yields compliant one or more maximal numbers that once applied results in a compliance with the storage system utilization policy; applying the compliant one or more maximal numbers when finding the compliant one or more maximal numbers; and determining that the evaluated failure domain rules are non-compliant when failing to find the compliant one or more maximal numbers.

Abstract: A POS terminal has: a device driver; a POS application that communicates with a peripheral through the device driver; a filter driver that acquires communication information related to communication performed between the POS application and the peripheral through the device driver; and a failure detection application that acquires communication information from the filter driver over a predetermined period, defines a decision reference according to which a decision is made about an abnormality related to the peripheral, according to the acquired communication information, and makes a decision about an abnormality related to the peripheral through a comparison between the defined decision reference and communication information acquired from the filter driver after the predetermined period.

Abstract: An apparatus includes a primary processor and a secondary processor configured to receive a first signal, a second signal and a plurality of input signals, and perform same operations as each other based on the first signal, the second signal and the plurality of input signals, a comparison circuit configured to receive output signals of the primary processor and the secondary processor, and detect a lockstep mismatch between the primary processor and the secondary processor based on the output signals, a fault capturing circuit configured to receive the first signal and the second signal, and capture a fault signal generated by the comparison circuit, and a first glitch absorption device configured to receive the first signal and the second signal, and absorb glitches fed into the first glitch absorption device.

Abstract: A method and system for risk score based asset data protection using a conformal framework. Concerning Internet-of-Things (IoT) environments, there is a growing challenge to ensure the availability and continuity of applications executing, as well as relevant application data maintained, on IoT devices, in order to mitigate potential operational failures and/or interruptions. The disclosed method and system address this growing challenge through risk-score assessments of the applications and their respective relevant application data (collectively referred to as assets), as well as the potential degradation of the underlying IoT device hardware. The aforementioned risk-score assessments employ clustering to identify, and a conformal framework to rank, high-risk (for failure) assets, which may subsequently be subjected to backup operations (overriding existing policies) to guarantee asset protection.

Abstract: A controller for use in a memory device includes an error information generator configured to receive error information about an error occurring while a command is being processed at a protocol layer, generate command error information corresponding to the command based on the received error information, and store the generated command error information in a first storage area, and an error information manager configured to store the command error information, stored in the first storage area, in a second storage area in response to an external request.

Abstract: A computer-implemented method for a multi-tenant integration environment includes, in response to an error occurring during a state of execution of an integration flow, generating error data for the error. The method further includes associating the generated error data with the error. The method further includes storing the generated error data in a data storage component. The generated error data includes (i) error state information corresponding to the state of execution of the integration flow and (ii) target state information corresponding to a target state of execution of the integration flow.

Abstract: Techniques involve: determining, according to a determination that a performance level of a target storage unit is lower than a threshold level, whether idle disk slices that can be used for reconstructing malfunctioning disk slices in the target storage unit exist in a slice pool; determining a priority of the target storage unit according to a determination that the idle disk slices do not exist; and selecting replacing disk slices for reconstructing the malfunctioning disk slices from available storage units based at least in part on the priority, wherein the available storage units have performance levels not lower than the threshold level. In this way, data loss due to the off-line of storage units is prevented; and meanwhile, the performance of the entire storage system can be globally stabilized.

Abstract: A risk management system includes a plurality of sensors coupled to a processor and to an electrical device, which may be a utility asset, to monitor operational characteristics of the electrical device. The processor may send sensor data and/or processed information to a memory for storage. The processed information, the sensor data, or both are visually and graphically presented in a radar chart, a table, and a sliding scale interface for both selecting data and interpreting data provided by the processor. The combination of the radar chart, the table, and the sliding scale interface allows a user of any level of training or education to quickly and efficiently interpret the sensor data, the processed information, or both with respect to the electrical device. The radar chart depicts a failure profile that provides a visual summary of determined risk scores corresponding to subcomponents of the electrical device that may need investigation, maintenance, or replacement.

Abstract: A system and method are provided for validating data. The method is executed by a device having a data interface coupled to a processor and includes obtaining a validation set comprising at least one validation case, each validation case comprising at least one test condition. The method also includes obtaining, via the data interface, at least one data set to be validated using the validation set. The method also includes applying the validation set to the at least one data set to validate the data in the data set by, for each record in the at least one data set, validating a value in the record according to the at least one test condition. The method also includes outputting a validation result for each record.

Abstract: Described embodiments provide systems and methods for detection of the degradation of a virtual desktop environment. A computing device may receive data from a plurality of client devices. The computing device may identify a subset of client devices from the plurality of client devices with at least one characteristic in common based on the received data. The computing device may determine a ratio of the identified subset of client devices, the ratio being a comparison of client devices of the subset with a value above a first threshold to a total number of client devices of the subset, and the value being indicative of a characteristic of performance for that client device. The computing device may identify a cause of an anomaly in the performance of the application based on the ratio exceeding a second threshold.

Abstract: This invention provides a storage system enabling it to properly rebuild a storage device involved in failure. In the storage system, a controller repairs data for which an access request has been issued, returns a reply to the source of the access request, and stores the repaired data. As regards data for which access is not requested, the controller executes rebuilding of storage regions corresponding to rebuild management units in priority-based order and changes priority for executing the rebuilding, based on access frequencies for a first period and access frequencies for a second period that is shorter than the first period.

Abstract: A storage node that maintains a replica of a logical volume for use in response to a failover trigger includes a data node with volatile memory in which a filesystem and its metadata and a VDM and its metadata associated with the replica are maintained prior to the failover trigger. The storage node also includes a SAN node in which data associated with the replica is maintained. The data is maintained in a RW (read-write) state by the SAN node prior to the failover trigger. However, the replica is presented in a RO (read-only) state by the storage node prior to the failover trigger. The storage node changes the in-memory state of the filesystem and VDM to RW responsive to the failover trigger. Because the filesystem and its metadata and VDM and its metadata are already in memory and the data is in a RW state in block storage the failover is completed relatively quickly.