Abstract: Consumer threads can assist in performing progressive chunking for a data queue. For example, a consumer thread can determine a current-chunk identifier indicating a current memory chunk of an unbounded queue, where the current memory chunk is associated with a producer thread that is different from the consumer thread. The consumer thread can determine a target-chunk identifier indicating a target memory chunk to which the producer thread is to write a data item. In response to determining that the target-chunk identifier is greater than the current-chunk identifier, the consumer thread can append a new memory chunk to the unbounded queue for use as the target memory chunk by the producer thread.

Abstract: A module manages usage of a memory in a computer by scheduling data processing tasks. The module determines whether a memory associated with a computer is available for performing a data processing task. In response to determining that the memory is not available for performing the data processing task, the module generates a factory object for the data processing task. The factory object specifies instructions to produce the data processing task. After the factory object is generated, the module receives a request to perform the data processing task. The module produces the data processing task by using the factory object in response to the request and determine again whether the memory is available for performing the data processing task. In response to determining that the memory is now available for performing the data processing task, the module performs the data processing task by using the memory.

Abstract: In a data backup method performed in a storage system having multiple storage devices, a first storage device having a first LUN queries data consistency points from a second storage device that has a second LUN which has an active-active relationship with the first LUN. The second storage device obtains the data consistency points based on the IO data status record of the first LUN and an IO data status record of the second LUN stored in the second storage device, and provides the data consistency points to the first storage device. The first storage device then creates a snapshot for the first LUN based on the data consistency points, provides differential data between the current snapshot and a previous snapshot, and stores the differential data in the backup storage device.

Abstract: Systems, apparatuses, and methods are provided herein for network incident management. A method for network incident management comprises aggregating network metrics associated with a monitored network in a historical network data database, identifying incidents based on the network metrics, generating a training data set based on the network metrics and the incidents, wherein the training data set comprises time series of network metrics as training input and incidents as labels, training an incident model using the training data set, receiving real-time network metrics from the network via the network interface, determining an incident prediction based on the incident model using the real-time network metrics as input, and causing a user interface device to provide an alert to a user based on the incident prediction.

Abstract: Systems, methods, and other embodiments described herein relate to securing software composition information in a software management environment. In one embodiment, a method includes acquiring, in a managing device, identifying information about a software package installed on a remote device, including a unique identifier of an entity associated with the software package, and a secure identifier that combines the unique identifier with a package identifier of the software package. The method includes, responsive to identifying a vulnerability, generating a vulnerability identifier using the unique identifier of the entity and a vulnerability label that identifies a vulnerable package that includes the vulnerability. The method includes comparing the vulnerability identifier with the secure identifier to determine whether the software package includes the vulnerability. The method includes providing a response about the vulnerability when the vulnerability identifier matches the secure identifier.

Abstract: A telemetry service can receive telemetry collection requirements that are expressed as an “intent” that defines how telemetry is to be collected. A telemetry intent compiler can receive the telemetry intent and translate the high level intent into abstract telemetry configuration parameters that provide a generic description of desired telemetry data. The telemetry service can determine, from the telemetry intent, a set of devices from which to collect telemetry data. For each device, the telemetry service can determine capabilities of the device with respect to telemetry data collection. The capabilities may include a telemetry protocol supported by the device. The telemetry service can create a protocol specific device configuration based on the abstract telemetry configuration parameters and the telemetry protocol supported by the device. Devices in a network system that support a particular telemetry protocol can be allocated to instances of a telemetry collector that supports the telemetry protocol.

Abstract: A computer system is provided. The computer system includes a memory and at least one processor coupled to the memory and configured to detect a request for a sign-up form from a client device to a remote server. The at least one processor is further configured to generate a code module based on the detection. The code module is configured to request a credential vulnerability check from an application management server. The at least one processor is further configured to provide the code module to the client device for execution on the client device in response to an attempted submission of the sign-up form. The at least one processor is further configured to receive a result of the credential vulnerability check from the client device and perform a security action in response to the credential vulnerability check indicating vulnerable credentials.

Abstract: A system for securely handling and storing customer data without enabling human access to the data receives and processes the customer data for storage where the customer data is granularly encrypting without storing a key for decryption. The granularly-encrypted customer data is transmitted over a secure network to a cloud-based data storage system that has no access to the key for decryption. The system receives a request from the customer to transmit the customer data to an external destination. The system retrieves the granularly-encrypted customer data from the cloud-based data storage system over a secure network and receives the key for decryption from the customer. The system decrypts the granularly-encrypted customer data using the key and discards the key. The system processes the customer data for transmission and transmits the customer data to the external destination over a secure network.

Abstract: The logging techniques described herein can enable using logging tools without having to use different methods for sandbox implementations and push out the log data to storage without problems. The log data is treated as sensitive data and is protected according to the defined security policies. Further, the results may be compressed and encrypted.

Abstract: In a method for electronic data card enhancements, at least one electronic data card may be requested containing data within a plurality of data elements. At least one value adding feature may be determined applicable to the data. Additionally, the at least one value adding feature may be applied to the data, and the at least one electronic data card may be presented containing data and the applied at least one value adding feature of the data.

Abstract: A method for resuming a Transport Layer Security (TLS) session in a Service Function Chain comprising a plurality of Service Function nodes coupled to a Service Function Forwarder. A request is received at a first Service Function node to establish a TLS session, and a Pre-Shared Key (PSK) and a PSK identifier that uniquely correspond to the first Service Function node and the TLS session are generated. The PSK identifier is forwarded to one or more of the Service Function Forwarder and the plurality of Service Function nodes. A request to resume the TLS session is received from a client device that previously disconnected. It is determined that the connection request contains the PSK identifier, a second Service Function node is selected, and the TLS session is re-established between the client device and the second Service Function node using the same PSK as the prior TLS session.

Abstract: The application provides a method for data reading and writing processing, data center, disaster recovery system and storage medium. The method includes receiving, by a first data center, a data reading request including a first user identification; determining, in response to the data reading request, whether a writing user identification set stored in the first data center includes the first user identification, the writing user identification set including user identifications corresponding to data writing requests; and under a condition that the writing user identification set includes the first user identification, forwarding the data reading request to a second data center, to read, in the second data center, data to be read as indicated by the data reading request, the second data center being configured to receive and process a data writing request sent by a user terminal or forwarded by the first data center.

Abstract: Computerized systems and methods are provided for managing changes being made on a geographically diverse mobile telecommunications network. An intelligent application for network change management collects change requests to be implemented in a geographically disperse mobile telecommunications network. The intelligent application determines whether the changes to be implemented are for devices that high risk from a network impacting event, such as a major event or weather. The application initiates actions to suspend the changes from being implemented to the network until the devices are no longer at high risk from a network impacting event.

Abstract: A web services platform includes a data collector and a timeseries service. The data collector is configured to collect feedback samples provided by one or more sensors of a building management system and generate one or more feedback timeseries including a plurality of the feedback samples. The timeseries service is configured to identify a feedback control workflow that uses the feedback timeseries as an input and defines one or more processing operations to be applied to the feedback samples of the feedback timeseries, perform the one or more processing operations defined by the feedback control workflow to generate a control signal timeseries including a set of control signal samples, and provide a control signal including at least one of the control signal samples or the control signal timeseries as an output to controllable building equipment of the building management system that operate using the control signal as an input.

Abstract: Techniques are disclosed relating to dispatching compute work from a compute stream. In some embodiments, a graphics processor executes instructions of compute kernels. Workload parser circuitry may determine, for distribution to the graphics processor circuitry, a set of workgroups from a compute kernel that includes workgroups organized in multiple dimensions, including a first number of workgroups in a first dimension and a second number of workgroups in a second dimension. This may include determining multiple sub-kernels for the compute kernel, wherein a first sub-kernel includes, in the first dimension, a limited number of workgroups that is smaller than the first number of workgroups. The parser circuitry may iterate through workgroups in both the first and second dimensions to generate the set of workgroups, proceeding through the first sub-kernel before iterating through any of the other sub-kernels. Disclosed techniques may provide desirable shapes for batches of workgroups.

Abstract: The present disclosure relates to an artificial intelligence apparatus capable of providing a user manual corresponding to an abnormality diagnosis by diagnosing an abnormality of a target device inquired by a user, and a method for providing a target device manual thereof, and may be configured to, when receiving a user inquiry from the user terminal through the communication unit, analyze the user inquiry to set a diagnosis range of a target device, perform a diagnosis corresponding to the user inquiry within the set diagnosis range of the target device, generate a user manual for the performed diagnosis result, and control the communication unit to transmit the generated a user manual to the user terminal.

Abstract: The disclosed technology is directed towards managing the establishment and maintenance of communication connectivity between a device and service. Condition data can indicate when to initiate a state change of a connection between a device and a server. Current device conditions associated with the device are evaluated to determine whether to initiate a state change, e.g., from a connected state to a paused state, or vice-versa. The connectivity may be managed per connection type, e.g., cellular versus Wi-Fi, and on a per-application basis, e.g., turned on for a social media application, off for mail and messaging applications. Settings can be used to manage connectivity for an application, e.g., sometimes connected, sometimes paused based on information specific to that application. Trends, user practices and schedule data can be used to predict and manage connectivity, as well as to notify the user to take some action.

Abstract: Techniques relating to managing “bad” or “imperfect” data being imported into a database system are described herein. A lifecycle technology solution helps receive data from a variety of different data sources of a variety of known and/or unknown formats, standardize it, fit it to a known taxonomy through model-assisted classification, store it to a database in a manner that is consistent with the taxonomy, and allow it to be queried for a variety of different usages. Auto-classification, enrichment, clustering model and model stacks, and/or other disclosed techniques, may be used in these and/or other regards.

Abstract: Methods and systems are disclosed herein for secure communication between computing devices. A mobile device may communicate with an untrusted device to cause the untrusted device to send information (e.g., encrypted information that the untrusted device is unable to decrypt) to a server using an Internet connection of the untrusted device. The mobile device may have limited or no access to the Internet. To prevent potential security risks associated with using a public or untrusted device, the mobile device may encrypt information stored on the mobile device (e.g., stored in a mobile application associated with the server), send it to the untrusted device (e.g., by displaying a QR code to a camera of the untrusted device), and the untrusted device may send the information to the server via a network connection of the untrusted device.

Abstract: A method includes obtaining a plurality of representative vectors associated with face-related data. The method includes determining an encryption key based on a parameter stored in a record, generating an encrypted vector set by, for each respective vector of the plurality of representative vectors, encrypting the respective vector with a homomorphic encryption operation based on the encryption key, where the encrypted vector set includes a first encrypted vector that is linked to a subset of the face-related data associated with the first plurality of face vectors. The method further includes obtaining an encrypted face search vector using the encryption key to perform homomorphic encryption. The method further includes selecting a first encrypted vector based on the encrypted face search vector and retrieving the subset of the face-related data based on the first encrypted vector.