Abstract: Various devices, such as storage devices or storage systems are configured to avoid ungraceful shutdowns utilizing recycled power. Storage devices typically generate heat during normal operations. Energy recycling modules disposed on various components of the storage device recycle this heat. This recycled heat can be captured and converted into electricity that can be stored for later discharge and use. These energy recycling modules can be a series of semiconductors that utilize various natural effects to convert heat applied on one side of the module into electricity that can be delivered to various power storing components. The stored power can be utilized in the event of a sudden power loss in order to power one or more components necessary to perform a graceful shutdown. In this way, even when power is totally cut off from the storage device, there is enough stored recycled electricity that an ungraceful shutdown can be avoided.

Abstract: A system for handling faulty pages includes: a host processor; host memory connected to the host processor over a first memory interface; and an expandable memory pool connected to the host processor over a second memory interface different from the first memory interface. The host memory includes instructions that, when executed by the host processor, cause the host processor to: detect an error in a target page of a first memory device of the expandable memory pool; generate an interrupt in response to detecting the error; store in a faulty page log, faulty page information corresponding to the target page of the first memory device; and change a status of the target page of the first memory device from a first state to a second state according to the faulty page log.

Abstract: The invention relates to an electronic system with a built-in computer, designed to execute a source application in response to an external request. The capabilities of the system may include creating a clone of the source application by duplicating the application's executable, which is stored in a separate memory area. The system may then initiate an internal request to run the clone application. The original source and its clone may be executed independently, with the system generating a unified output by comparing the results of both the source and clone applications' execution. The invention provides for an approach to running and comparing software applications, enhancing computational efficiency and reliability.

Abstract: A system booting method, a node device, and a computer-readable storage medium relate to the technical field of operating systems and include determining a location of a first operating system to be booted by the node device in a target persistent memory; and booting, based on the location of the first operating system and by the node device, the first operating system.

Abstract: A failure prediction method and device for a storage device are provided. The method comprises: inputting SMART data of the storage device obtained in real time into each of a plurality of base classification models to obtain a classification result for the SMART data of the storage device obtained in real time that is output by the each classification model, wherein the each base classification model is obtained by training using historical SMART data of a plurality of storage devices and/or SMART data of the plurality of storage devices obtained online; determining whether the SMART data of the storage device obtained in real time is healthy data or erroneous data, based on classification results of the plurality of base classification models; predicting whether the storage device will fail, based on a number of SMART data that is determined as healthy data and a number of SMART data that is determined as erroneous data among SMART data of the storage device obtained within a predetermined time window.

Abstract: Placement scenario optimization mechanisms for automatic placement of computing entities onto nodes of a running multi-node computing cluster. A set of failure mode parameters define a high-availability requirement of the multi-node computing cluster. In advance of a failure event, and responsive to a determination that a then-current computing entity placement does not satisfy the high-availability requirement, the cluster is analyzed and a plurality of feasible placement scenarios are generated. Optimization criteria are applied to the feasible placement scenarios such that a best choice from among the feasible placement scenarios is identified and applied to the virtual machine placements over the cluster. A change monitoring and detection facility continually observes the multi-node computing cluster to detect a change of a failure mode parameter or to detect a change to the configuration of the virtual machines.

Abstract: The disclosed computer-implemented method for generating remedy recommendations for power and performance issues within semiconductor software and hardware. For example, the disclosed systems and methods can apply a rule-based model to telemetry data to generate rule-based root-cause outputs as well as telemetry-based unknown outputs. The disclosed systems and methods can further apply a root-cause machine learning model to the telemetry-based unknown outputs to analyze deep and complex failure patterns with the telemetry-based unknown outputs to ultimately generate one or more root-cause remedy recommendations that are specific to the identified failure and the client computing device that is experiencing that failure.

Abstract: A computing infrastructure that includes one active site and one passive site. Each site includes a private cloud connected to a public cloud, at least one virtual machine, a replication module to replicate each protected virtual machine in the other site, and at least one site recovery manager module paired with the corresponding site recovery manager module in the other site. The at least one site recovery manager module is configured to synchronize disaster recovery configuration information including at least one group of protected virtual machines and at least one recovery plan via the pairing, and to execute each recovery plan in case of disaster. Each site also includes a cloud orchestrator configured to update disaster recovery configuration information in each site recovery manager module on request.

Abstract: The present embodiments relate to proactive learning of network software problems. In an embodiment, a method includes receiving, by a detection system, webpage data from a computer system. The computer system can receive the webpage data from a plurality of client devices. The webpage data can be associated with user identifiers identifying each client device of the plurality of client devices. The detection system can then receive assistance data from a user assistance computer. The user assistance computer can receive the assistance data from a plurality of user devices. The assistance data can be associated with user identifiers identifying each user device of the plurality of user devices. The detection system can label the webpage data based on the assistance data including matching user identifiers and then determine at least a pattern based on the labeled webpage data.

Abstract: A system for error reporting and handling includes a memory storing an error handler, a processor configured to execute the error handler, and a buffer. The error handler is configured to receive an error message from a system on chip (SOC) platform. The error message indicates a plurality of errors have occurred in the SOC platform, and the buffer stores the error message. Further, the error handler is configured to report the error message using a single interrupt. Further, the error handler is configured to handle the errors in the error message using the single interrupt.

Abstract: The present disclosure relates to systems, methods, and computer readable media for identifying and responding to a panic condition on a storage system on a computing node. For example, systems disclosed herein may include establishing recovery instructions between a host system and a storage system in responding to a future instance of a panic condition. The storage system may provide an indication of a self-detected panic condition in a variety of ways. In response to identifying the panic condition, the host system may perform one or more recovery actions in accordance with recovery instructions accessible to the host system. This may include performing resets of specific components and reinitializing communication between the host system and storage system in less invasive ways than slower and more expensive conventional approaches for responding to panic conditions on computing nodes.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for memory fault prediction. In a method for memory fault prediction provided by the embodiments of the present disclosure, an accuracy of fault prediction over a past period of time is obtained, each fault prediction is made based on a comparison of a prediction confidence with a confidence threshold, and the accuracy indicates an amount of work to reconstruct and diagnose predicted faulty memories after the fault prediction; the confidence threshold is adjusted in response to the accuracy being less than an accuracy threshold; a detection rate of the fault prediction over the past period of time is obtained; and the confidence threshold is adjusted reversely in response to the detection rate being less than a detection rate threshold. In this way, the reliability of memories in nodes is guaranteed while reducing unnecessary reconstructions and diagnoses.

Abstract: An information analysis apparatus according to an embodiment includes an input unit that inputs information indicating an apparatus that is a fault occurrence location in a communication network and a factor of a fault, a storage unit that stores a restoration handling method rule in which the apparatus that is the fault occurrence location, the factor of the fault, and an appropriate restoration handling method for the fault are associated, and an analyzer that analyzes an appropriate restoration handling method for the apparatus and the factor indicated by the information that is input, based on information related to a past fault for the apparatus that is the fault occurrence location, or a condition inherent in the apparatus that is the fault occurrence location, from the restoration handling method rule.

Abstract: An apparatus comprises at least one processor to execute software processes, a memory system to store data for access by the at least one processor, and checkpointing circuitry to trigger saving, to the memory system, of checkpoints of context state associated with at least one software process executed by the at least one processor. The saving of checkpoints is a background process performed by the checkpointing circuitry in the background of execution of the software processes by the at least one processor.

Abstract: A method includes receiving a point data anomaly detection query from a user. The query requests the data processing hardware to determine a quantity of anomalous point data values in a set of point data values. The method includes training a model using the set of point data values. For at least one respective point data value in the set of point data values, the method includes determining, using the trained model, a variance value for the respective point data value and determining that the variance value satisfies a threshold value. Based on the variance value satisfying the threshold value, the method includes determining that the respective point data value is an anomalous point data value. The method includes reporting the determined anomalous point data value to the user.

Abstract: An example embodiment may involve receiving, from a client device, a request to access a web-based resource of a computational instance. The embodiment may also involve accessing data defining one or more change indications for one or more respective program code units, wherein each of the one or more change indications indicates that a respective program code unit of the one or more program code units has been changed since a most recent software release. The embodiment may also involve generating, for display via the client device, a representation of the web-based resource that includes a region specifying the one or more respective program code units for which there are change indications.

Abstract: Aspects of the subject technology relate to systems, methods, and computer-readable media for diagnosing faults in a software stack by running a subset of processes of the software stack. An existence of a fault associated with running a software stack is determined. The software stack includes a plurality of dependent processes. An incrementing larger subset of the software stack is run according to one or more error thresholds associated with executing corresponding dependent processes in the incrementing larger subset. The incrementing larger subset includes an increasing number of processes of the plurality of dependent processes. One or more sources of the fault are diagnosed based on the running of the incrementing larger subset of the software stack.

Abstract: In a data backup method, after data backup is triggered, a backup server sends a change information obtaining request to a file server to request change information of data on the file server. The backup server receives a data change record returned by a file server, wherein the data change record comprises identification information of a changed data block. The backup server then obtains data according to the data change record, backs up the obtained data, and establishes a data mapping relationship for the current backup. When data of a backup needs to be obtained, data of a corresponding data block is found in the backup storage device according to the data mapping relationship.

Abstract: An edge computing device is provided including at least one memory configured to store computer program code and at least one processor configured to access said computer program code and operate as instructed by said computer program code. The edge computing device is included in a distributed object identification system, which includes a plurality of edge computing devices, and the edge computing device is determined as a central control device based on election from the plurality of edge computing devices. The computer program code includes first capturing code configured to cause the at least one processor to capture a video stream of an environment and first obtaining code configured to cause the at least one processor to obtain identity information of an object in the video stream by performing object identification on the video stream.

Abstract: A method, computer system, and computer program product for data monitoring management are provided. A first invalid zero value candidate from a data stream is received. A memory location for the first invalid zero value candidate is received. At a first time an access connection to the memory location is established. At a second time subsequent to the first time the access connection to the memory location is checked. Based on the checking, a determination is made whether the first invalid zero value candidate contains an invalid zero value.