Abstract: A neural processing unit (NPU) is capable of testing a component of the NPU in a running system, i.e., during runtime. The NPU includes a plurality of functional components, each of which includes an electronic circuit; at least one wrapper connected to at least one of the functional components; and an in-system component tester (ICT). The ICT performs a selection of one of the at least one functional component, in an idle state, as a component under test (CUT) and performs a test, via the at least one wrapper, of the selected functional component. The ICT may monitor states of the plurality of the functional components via the at least one wrapper, stop the test based on a detection of a collision due to an access to the selected functional component, and return a connection of the selected functional component to the at least one wrapper according to the stop.

Abstract: A computer-implemented method for determining a signature embedding vector for information technology events. The method including: receiving a current data object representing an occurrence of an information technology event associated with a configurable item; obtaining a graph database of logical associations of the configurable item; applying a clustering algorithm to the graph database to determine a subset of graphs; extracting associated data of the subset of graphs; applying an embedding model to the extracted associated data to determine an embedding vector for each subset of graphs; aggregating the embedding vector for each subset of graphs to determine a signature embedding vector; and utilizing the signature embedding vector to perform further analysis of the current data object.

Abstract: The present disclosure provides memory systems, heat dissipation devices, and control methods. An example memory system includes a circuit board, wherein the circuit board is provided with a memory device and a first interface coupling structure. The memory device is coupled with the first interface coupling structure. The memory device is configured to: send a state indication signal to a heat dissipation device through the first interface coupling structure, wherein the state indication signal is configured to indicate working state information of the memory system.

Abstract: A method for error event analysis performed by an electronic device includes: in response to an error event of an autonomous driving system, feeding a sequence of signal states, collected from the autonomous driving system into a prediction model, where the prediction model is trained based on signal states collected from a plurality of autonomous driving systems for predicting, based on a first signal state, a second signal state, the first signal state representing signals collected at a first time, and the second signal state representing signals collected at a second time succeeding the first time; converting the error event into an event signal state having signal values at an event time; comparing the second signal state with the event signal state; and in response to the second signal state matching the event signal state, tracing the error event back to the first signal state as a root cause.

Abstract: Upon failure of a host and, in response to a lack of hots having available processing units, a host is selected and one or more processing units of the selected host are allocated as shared CPUs for use by one or more components of the failed host. The selected host may be selected according to requirements, such as affinity, anti-affinity, and latency. The shared CPUs may have been previously allocated as a dedicated CPU. The shared CPUs may be bound to the one or more components. The one or more components may include a container.

Abstract: Examples of troubleshooting enterprise information technology problems are described. In some examples, a root cause analysis service configures parameters for a root cause analysis. The parameters include device context features of client devices, which are specified to be analyzed. The root cause analysis service identifies a target issue affecting the client devices and performs the root cause analysis according to the parameters to generate root cause candidate patterns to provide through an interface.

Abstract: An example method includes receiving incident data for historical incidents of downtime or interrupted service. The incident data includes identification information about one or more first computing applications, devices, or services affected by the downtime or the interrupted service. The incident data further includes timing information relating to the historical incidents and version history information of the one or more first computing applications, devices, or services. The method further includes receiving root cause data indicating a cause of the historical incidents and receiving action data indicating a corrective or preventative action taken or to be taken in response to each of the historical incidents. The method further includes training a machine learning algorithm using the incident, root cause, and action data to create a trained model configured to determine a root cause and a new corrective or preventative action for a new incident.

Abstract: Some embodiments of the invention provide a method for remediating anomalies in an SD-WAN implemented by multiple forwarding elements (FEs) located at multiple sites connected by the SD-WAN. The method is performed for each particular FE in a set of one or more FEs. The method identifies a set of metrics associated with each application of multiple applications for which the particular FE forwards traffic flows. For each particular application of the multiple applications, the method generates a distribution graph that shows the identified set of metrics associated with the particular application for the particular FE over a first duration of time.

Abstract: Systems and methods for dynamic agentic disruption processing are disclosed. In some implementations, the system identifies a contingency graph that links an agent issuing an agent request with a plurality of compute clusters including a primary compute cluster executing the agent request and a mirrored compute cluster. The system generates a disruption score for the primary compute cluster based on information associated with the agent request. The system, responsive to the disruption score satisfying a condition, transfers to the mirrored compute cluster control of the agent and the agent state tied to the agent request. The system directs execution of the agent request from the mirrored compute cluster using the security context for the agent such that the agent state remains encrypted in transit and at rest.

Abstract: Systems and methods are provided for data migration including cloning a multiple-logical unit number (LUN) volume into a plurality of cloned single-LUN volumes on a first storage node of a computing system; creating a plurality of new volumes on a second storage node of the computing system based at least in part on the plurality of cloned single-LUN volumes; selectively copying snapshot data from the plurality of cloned single-LUN volumes to the plurality of new volumes; establishing snapshot mirror relationships between the plurality of cloned single-LUN volumes and the plurality of new volumes; synchronizing the plurality of cloned single-LUN volumes and the plurality of new volumes; and performing a migration of data logical interface failovers (LIFs) from the plurality of cloned single-LUN volumes to the plurality of new volumes.

Abstract: Methods, systems, and devices for data management are described. Point-in-time data that includes one or more files may be generated from data management information stored at a data management system having multiple nodes. One or more sets of virtual partitions may be created for at least one file of the one or more files. One or more external file descriptors associated with respective locations of the at least one file and one or more sets of internal file descriptors associated with respective external file descriptors and locations of corresponding sets of virtual partitions may be generated in response to a request. One or more subsequent requests to read the at least one file may be routed to the nodes based on the one or more sets of internal file descriptors. Based on the routing, the respective portions of the one or more files may be output in parallel.

Abstract: The present disclosure provides a memory system, an operation method thereof, and a computer-readable storage medium. The memory system includes: a memory device and a memory controller coupled with the memory device. The memory system includes a general-purpose input/output interface including a first pin that is configurable to receive data transmitted by serial communication. The memory controller is configured to: trigger an interruption by the first pin in response to abnormality of a firmware of the memory system during operation; and trigger an assert dump mode in response to the interruption triggered by the first pin.

Abstract: In a data backup method of a storage device, environment information is received from at least one environmental sensor such that an operating environment in which the storage device is operating is monitored. An event detection signal is generated based on the environment information. In response to generating the event detection signal at least first data is immediately backed up to an external device located outside the storage device. The storage device includes a first port configured to be used to store the plurality of data in the storage device, and a second port different from the first port. In response to generating the event detection signal, the at least first data among the plurality of data are immediately output from the storage device through the second port.

Abstract: An information handling system configured to perform an input/output (I/O) health check of the I/O device and gather I/O health check data from the I/O health check performed and calculate channel margins based on the I/O health check data. The information handling system is further configured to determine whether there is an outlier among the channel margins and when there is an outlier, then generate a signature associated with the outlier. In addition, the information handling system is configured to compare the signature with signatures from a library of known issues and determine if there is a match between the signature and one of the signatures from the library, then inform a user of a known issue.

Abstract: A method of testing an expansion card includes configuring a configuration file according to contents of instructions of a controller, which may be received by the expansion card, and contents of expected data corresponding to the instructions. Testing instructions are generated based on the configuration file. The testing instructions are sent to the expansion card. Returned data returned from a firmware of the expansion card by responding the testing instructions. Whether an electronic device communicates with the expansion card successfully is determined based on the returned data. An electronic device and a testing system are also provided.

Abstract: Provided is a system failure monitoring device capable of easily estimating a root cause of a system. A data collection unit acquires pod/calculation node information, which is configuration information regarding a pod that executes a process according to a request, and tracing data regarding the request processed by the pod. A determination unit including a processing time calculation unit and an abnormality degree calculation determination unit determines, for each of the requests, whether the request is an abnormal request relevant to an abnormality of a monitoring target system, based on the tracing data and the pod/calculation node information. A presentation unit including an abnormal request distribution calculation unit and an abnormal request visualization unit generates and presents visualized data indicating an abnormal request distribution obtained by plotting the abnormal request in a request space defined by a coordinate axis related to the requests.

Abstract: A system, method, and a computer program product for determining anomalies in a dataset are provided. The dataset, which stores data structures of parameters, is received at an anomaly detection framework. The anomaly detection framework selects multiple models, including time series models, historical models, artificial intelligence models and isolation forest models to analyze the parameters in the dataset and determine anomalies in the data structures.

Abstract: A row can be mapped to a spare row in memory. The mapping can include stopping the scheduler from issuing commands to the first bank. Responsive to stopping the scheduler from issuing commands to the first bank, the logic can map a particular row of the first bank to the spare row. The mapping can include allowing the scheduler to schedule commands for the second bank concurrently with the mapping of the particular row to the spare row.

Abstract: Service management using dynamically calculated requests per second (RPS) thresholds include monitoring, over a span of time and across services instances of a service, a resource usage of a hardware resource and a requests per second (RPS) by the service instances obtain service instance data points that include resource usage metrics related to RPS numbers, and performing a regression of the service instance data points to obtain a current set of correlation functions between the resource usage and the RPS, and selecting a RPS threshold using the current set of correlation functions and a current amount of the hardware resource assigned to the service. Service management further includes continually monitoring the RPS for the service to detect when the RPS satisfies the RPS threshold and managing the service responsive to the RPS satisfying the RPS threshold.

Abstract: Systems and methods include storage of shards of first database tables of a first tenant in a first plurality of storage nodes located in a first region, each shard associated with a first database table and a key range of the first database table, storage of shards of second database tables of a second tenant in a second plurality of storage nodes located in a second region, each shard associated with a second database table and a key range of the second database table, storage of backups of the shards of the first database tables of the first tenant in a plurality of backup locations located in a region different from the first region, and recovery of the backups of the shards of the first database tables of the first tenant from the backup layer to the second plurality of storage nodes.