Abstract: A method for recovering failed chunks, the method may include (i) obtaining a failure indication about a failure of a first number (X1) of failed chunks; wherein the chunks were stored in a group of disks, the group of disks is configured to store a second number (?) stripes of multiple (N) chunks, wherein each stripe comprises a first plurality (K) of data chunks and a second plurality (R) of parity chunks; wherein R exceeds ( X ? 1 ? ) ; and (ii) performing at least one recovery iteration until fulfilling a stop condition. Each recovery iteration of the at least one recovery iteration may include (a.i) selecting valid chunks to provide selected valid chunks, wherein a number of selected chunks is smaller than a product of a multiplication of R by ?; (a.ii) retrieving valid data chunks that are relevant to the selected valid chunks; and (a.iii) attempting to reconstruct the failed chunks based on the retrieved chunks.

Abstract: Methods, systems, and apparatuses related to multiple instructions sets or redundant instructions for memory access and management. In one approach, a controller of the memory device provides a first set of functions for management of a storage media of the memory device. The controller uses the first set of functions to service one or more requests received from the host device. The controller provides a second set of functions for management of the storage media. The second set includes one or more functions that are redundant to the first set. When a request is received from the host device, in response to determining that the first set of functions is unavailable to service the request, the controller services the request using one or more of the redundant functions of the second set.

Abstract: Methods and systems for block-level data prioritization during a backup operation are disclosed. According to some embodiments, the method includes extracting a backup data criticality from header information of one or more data blocks. The method further includes based on the extracted backup data criticality, assigning a weighted value corresponding to the backup data criticality. The method further includes for each data block, calculating a Euclidean distance of the data block to a consecutive data block using the weighted value.

Abstract: A method, computer program product, and computing system for processing memory page metadata received from a cache memory system within a data storage system to determine if the memory page metadata includes corruption due to a power failure event; if the memory page metadata includes post-acknowledgement data corruption, initiating a data recovery process to attempt to recover content associated with the post-acknowledgement data corruption; and if the memory page metadata includes pre-acknowledgement data corruption, reobtaining content associated with the pre-acknowledgement data corruption.

Abstract: A method and an apparatus for migrating virtual machine includes monitoring a status of a compute node; determining whether the compute node meets a trigger condition; wherein the trigger condition comprising a time period of lost connection of the compute node reaches a predetermined time period, or an unstable status of the compute node; and if the compute node meets the trigger condition, transmitting a message to a control node to migrate the VM.

Abstract: A device comprising a memory controller coupled to a non-volatile memory (NVM) device with a shadow tracker memory region. The controller comprises a low-overhead and low recovery time for integrity-protected systems by recovering a secure metadata cache. The controller is configured to persistently track addresses of blocks in the secure metadata cache in the NVM device when a miss occurs, and track the persistent addresses, after the miss. The controller is configured to rebuild affected parts of the secure metadata cache associated with the persistent addresses in the NVM device. A system is provided which includes the memory controller interfaced with an NVM device with the shadow tracker memory region.

Abstract: A central processing unit includes a core, a state memory, a plurality of bus contacts, a data generation unit, and a bus interface unit. The state memory stores a state, the bus interface unit is coupled to the core and the state memory, and the bus interface unit selectively couples the core to the plurality of bus contacts or the data generation unit according to the state.

Abstract: Methods, systems, apparatuses, and computer-readable storage mediums are described for machine learning-based techniques for reducing the visual complexity of a dependency graph that is representative of an application or service. For example, the dependency graph is generated that comprises a plurality of nodes and edges. Each node represents a compute resource (e.g., a microservice) of the application or service. Each edge represents a dependency between nodes coupled thereto. A machine learning-based classification model analyzes each of the nodes to determine a likelihood that each of the nodes is a problematic compute resource. For instance, the classification model may output a score indicative of the likelihood that a particular compute resource is problematic. The nodes and/or edges having a score that exceed a predetermined threshold are provided focus via the dependency graph.

Abstract: A method for reading data from a memory includes; reading a codeword from the memory cells, correcting the errors when a number of errors in the codeword is less than a maximum number of correctable errors, correcting the errors when the number of errors in the codeword is equal to the maximum number of correctable errors and the errors correspond to a same sub-word line, and outputting signal indicating that the errors are an uncorrectable error when the number of errors of the codeword is equal to the maximum number of correctable errors and the errors correspond to different sub-word lines.

Abstract: A server-based environment for reporting a status of a security, monitoring and automation controller is provided. Detecting cessation of an always-on persistent network connection between the SMA controller and the server is also provided. Reporting the cessation of the network connection to an end user and defined others is further provided. A further aspect provides for automatically reporting an alarm event to a central station, the end user, and others, in the event the cessation of the network connection occurs while the SMA controller is aimed and after a zone fault event, and not receiving a disarm notification prior to expiration of a preset entry delay.

Abstract: A processor may receive a software fix package. The processor may apply an interim software code fix of the software fix package to software of a device, where the interim software code fix includes adjusting one or more tunable computing parameters to one or more first values. The processor may identify that a reboot of the device is recommended for application of a permanent code fix of the software fix package. The processor may identify that the device was not rebooted after receipt of the software fix package. The processor may determine that a dynamic reconfiguration event has taken place. The processor may apply, automatically, one or more second values for the one or more tunable computing parameters associated with the interim software code fix of the software fix package.

Abstract: Systems and methods that may be used to provide an inference-based incident detection and reporting process. In one or more embodiments, an inference model may be used to track and analyze changes and incident data from various sources of record to quickly predict potential sources of errors and help focus in on the root cause of a software incident.

Abstract: An information management system implements a method for determining whether to initiate a failover of a storage manager in the system. Nodes in the system may be assigned as monitoring nodes configured to communicate with a storage manager. Furthermore, each monitoring node may be configured to transmit a status inquiry message to each other monitoring node, and each monitoring node may receive a status inquiry message from each other monitoring node. Each monitoring node may also generate a session message comprising status information, and a plurality of failover nodes may receive the generated session messages. A failover node may then determine whether a failover condition has occurred by applying a plurality of failover rules to the status information of the transmitted session message. Where the failover node determines that a failover condition has occurred, the failover node may activate an offline storage manager to replace the active storage manager.

Abstract: An apparatus in one embodiment comprises at least one processing device comprising a processor coupled to a memory, with the processing device being configured to detect a failure of at least one storage node that impacts a write cache destaging process in a distributed content addressable storage (CAS) system comprising a plurality of storage nodes each associated with one or more storage devices. Responsive to the detected failure, the processing device issues one or more write cache metadata preload commands to direct one or more other ones of the storage nodes to preload from their associated storage devices metadata characterizing one or more data pages that are subject to the write cache destaging process, thereby illustratively reducing address lock contention in the CAS system. The processing device illustratively comprises at least a portion of a distributed storage controller of the CAS system. Other embodiments include methods and computer program products.

Abstract: Systems, methods, and computer-readable media for fault code aggregation across application-centric dimensions. In an example embodiment, a system obtains respective fault codes corresponding to one or more network devices in a network and maps the one or more network devices and/or the respective fault codes to respective logical policy entities defined in a logical policy model of the network, to yield fault code mappings. The system aggregates the one or more of the fault code mappings along respective logical policy dimensions in the network to yield an aggregation of fault codes across respective logical policy dimensions and, based on the aggregation, presents, for each of the respective logical policy dimensions, one or more hardware-level errors along the respective logical policy dimension.

Abstract: An instance of an event associated with error correcting code operations performed on a data block of the non-volatile memory is identified. An entry for a record is generated. The entry is indicative of the instance of the event. Whether a frequency of the event satisfies a threshold condition based on the record is determined. Responsive to determining that the frequency of the event satisfies the threshold condition, a remix operation on the data block is performed to change a logical to physical association of the data block from a first logical association to a second logical association.

Abstract: A distributed storage integrity system in a dispersed storage network includes a scanning agent and a control unit. The scanning agent identifies an encoded data slice that requires rebuilding, wherein the encoded data slice is one of a plurality of encoded data slices generated from a data segment using an error encoding dispersal function. The control unit retrieves at least a number T of encoded data slices needed to reconstruct the data segment based on the error encoding dispersal function. The control unit is operable to reconstruct the data segment from at least the number T of the encoded data slices and generate a rebuilt encoded data slice from the reconstructed data segment. The scanning agent is located in a storage unit and the control unit is located in the storage unit or in a storage integrity processing unit, a dispersed storage processing unit or a dispersed storage managing unit.

Abstract: A system for resolving transient and localized errors in a hybrid cloud cache. The system may include a subsystem within a hybrid cloud cache that provides a way to handle errors associated with uploading files or folders to a cloud. The subsystem may be used to recover files and folders created by a user that could not be pushed to the cloud, while also ensuring that metadata and data are not lost. The subsystem may work with the transaction processing subsystem of the hybrid cloud cache to facilitate the release of transactions associated with the files and folders that could not be pushed to the cloud. By doing so, the subsystem assists in unblocking subsequent transactions or user operations and allows the hybrid cloud cache to upload files and folders to the cloud without interruption.

Abstract: A method or apparatus detects a memory corruption of at least one portion of memory during run-time and corrects the memory corruption of the at least one portion of memory by replacing the at least one portion of memory with a backup of the at least one portion of memory. In this way, memory corruption can be corrected in a timely fashion while minimizing security risks.

Abstract: An improved core network that can monitor micro-level issues, identify specific services of specific nodes that may be causing an outage, and perform targeted node failovers in a manner that does not cause unnecessary disruptions in service is described herein. For example, the improved core network can include a failover and isolation server (FIS) system. The FIS system can obtain service-specific KPIs from the various nodes in the core network. The FIS can then compare the obtained KPI values of the respective service with corresponding threshold values. If any KPI value exceeds a corresponding threshold value, the FIS may preliminarily determine that the service of the node associated with the KPI value is responsible for a service outage. The FIS can initiate a failover operation, which causes the node to re-route any received requests corresponding to the service potentially responsible for the service outage to a redundant node.