Abstract: A data processing system that receives user input specifying datasets on which operations are performed with user interfaces that enable manipulation of hierarchical groups of datasets. A user interface may enable individual datasets or a previously defined group of datasets to be aggregated into another grouping. The groupings may be scoped, including by persona of users, such that, when a user is prompted to specify one or more datasets as a target of an operation by the data processing system, the available choices are limited to datasets that have a scope encompassing that user. The interfaces may prompt a user to select a grouping within the hierarchy that contains datasets on which the operation can be performed. Upon selection of a grouping with multiple datasets as a target of an operation that is performed on datasets singly, the operation may be performed on each dataset in the selected group.

Abstract: Techniques of interaction data processing in a distributed computing system are disclosed herein. One example technique includes upon receiving a user interface output having a content item to be surfaced on a client device and a script configured to detect an interaction with the content item at the client device, surfacing the user interface output having the content item on a display of the client device and automatically executing the script embedded in the user interface output to detect an interaction with the surfaced content item at the client device. Upon detecting an interaction with the content item on the surfaced user interface output, the example technique also includes generating and transmitting interaction data representing the detected interaction to a remote server.

Abstract: A system, method, and computer-readable medium are disclosed for performing a data center monitoring and management operation. The data center monitoring and management operation includes: identifying data center asset data to monitor; collecting data center asset data; and, performing an adaptive update scheduling operation, the adaptive update scheduling operation adaptively adjusting a prioritization and frequency of data center asset data collection to provide adapted data center asset data.

Abstract: A method includes receiving a system call from an application within a container executing on an operating system, the system call comprising a synchronization operation to synchronize memory of the application to storage. The method further includes determining, by the kernel, whether a system call filtering policy associated with the container indicates that the system call is to be prevented. preventing, by the kernel, performance of the synchronization operation in view of the system call filtering policy.

Abstract: Examples include a coordinator device broadcasting a route request identifying a destination device, to neighbor routers over reception paths. The neighbor routers then store a respective route record, indicating each as an end node in an in-progress path from the coordinator device to the destination device, and rebroadcast the route request for reception by next increment router neighbors. The next increment router neighbors, responsive to receiving the rebroadcasts, estimate a quality between good hop and bad hop of their reception paths, and determine, as an evaluation total path quality, a quality of a candidate hop path from the coordinator device to the next increment router neighbor. The next increment router neighbors determine if they have extant hop connection to the coordinator device with path quality at least as good as the evaluation total path quality. If “no,”, the next increment router neighbor increments the hop sequence by one hop.

Abstract: An image management method includes: after a video stream sent by a camera is obtained, recognizing a face image in the video stream through face recognition; comparing the image with a face image that is in an area in which the camera is located in a database; and if the comparison fails, expanding the area in which the camera is located around, and then comparing the face image with face images in an area obtained after the area in which the camera is located is expanded.

Abstract: Techniques for monitoring data transport in a network virtualization function chain (chain). A path tracing packet is generated having a Midpoint Compressed Data (MCD) to collect path tracing information of the chain. The network virtualization function node is configured to record an MCD containing Wide Local Path Tracing Identification (WL PT ID). The WL PT ID includes a first field having a value that indicates that a non-standard path tracing format is to be used and a second field that indicates a particular path tracing format to be used. The path tracing packet is passed through the chain and is received back after passing through the chain. Data collected by the path tracing packet is then analyzed to determine which network virtualization function nodes and chains the path tracing packet passed through and the amount of time taken for the path tracing packet to pass through the chain.

Abstract: Systems and methods for displaying search item scores and related information for easier search result selection. In one aspect, the method includes receiving a search request for a software component, retrieving a programming language information of the software component, retrieving an ecosystem information of the software component, retrieving a licensing information of the software component, retrieving a quality score of the software component, retrieving a security score of the software component, retrieving details of sources and associated details of the software component, dynamically generating a results information widget including information associated with the software component, and searching, based on the retrieved information, internet sources to assimilate associated information of the software components.

Abstract: Techniques are disclosed relating to performing a join operation with bitmap indexes of virtual data sources (VDSs). A distributed compute cluster having a set of compute nodes may maintain a plurality of VDSs based on a set of corresponding origins. A given VDS of the plurality of VDSs may include a bitmap index representative of a portion of data stored at the set of origins. The distributed compute cluster may receive a request for data stored across at least first and second bitmap indexes of the plurality of VDSs. The distributed compute cluster may perform a join operation to generate a join result having data from the first and second bitmap indexes. The distributed compute cluster may return a response that includes the join result.

Abstract: A data processing method and system for a cloud platform, and an electronic apparatus and a storage medium. The data processing method includes: an acquisition rate of performance data of each data type in a cloud platform is determined (S101); according to the acquisition rate, a shard corresponding to each data type is determined (S102); a database mapping table according to correspondence relationships between shards and databases is generated (S103); and when a data operation request is received, according to the database mapping table, a target database corresponding to the data operation request is determined, and a corresponding operation in the target database is executed (S104). By using the above method, the load balancing of a cloud platform can be realized, and the data processing efficiency can be improved.

Abstract: Systems and methods include configuration of a first database view to read from common versions of rows of a database table or from rows of the database table associated with a first version of the application, the database table storing application content, configuration of a first application server to write to the common versions of rows of the database table, configuration of a second database view to read from common versions of rows of the database table or from rows of the database table associated with a second version of the application, configuration of a second application server to write to rows of the database table associated with the second version of the application, modification of the database table to include rows associated with the second version of the application while the first application server executes the first version of the application and incoming user requests are directed to the first application server, configuration of the second application server to write to common version

Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and data-driven control systems and algorithms based on graph-based data arrangements, and, more specifically, to a computing platform configured to receive and analyze datasets to implement a data model with which to identify relevant data catalog data derived from graph-based data arrangements, whereby a processor may be configured to cause implementation of subsets of programmatic executable instructions based on relevant data catalog data, at least one example of which generates a concept interface portion adapted to an associated concept, among other things. In some examples, a method may include identifying attributes associated with data values linked to a conceptual entity, determining criteria data of a targeted application, selecting programmatic executable instructions based on the criteria data, and extracting data from a graph data arrangement as a function of the attributes, among other things.

Abstract: Systems and methods are described for generation of a query using a non-textual input. For example, the query can be generated using a point and click input. A selection of a data source can be identified and an initial query can be automatically generated based on the selection of the data source. A graphical user interface can be displayed and populated with one or more selectable parameters based on the initial query. A selection of the one or more selectable parameters can be received as a non-textual input and a query can be automatically generated based on the selection. For example, a query for execution by a data intake and query system can be generated based on the selection. The query can be provided to the data intake and query system. The data intake and query system may then execute the query on a set of data.

Abstract: A template builder for dynamically generated executables intakes objects from a metadata repository and template components from a template component library. An interface receives user selections of a test data object from among the objects in the metadata repository and template component from among the template components in the template component library. The template builder builds a candidate script template with the selected template component(s) and customizes the candidate script template, using the selected test data object into a generated script preview. The interface displays the generated script preview, and upon execution of the generated script preview, displays results of the execution. If the user is satisfied, the candidate script template may be persisted and used in templated data tests or other templated computational tasks.

Abstract: A system and method for presenting different graphical representations of a user to different end-users in a network-based communication environment are provided. A first end-user has a first a social distance from a user in a social graph while a second end-user has a second social distance from the user that is further than the first social distance in the social graph. A first graphical representation is provided in the network-based communication environment displayed to the first end-user and a second graphical representation different from the first graphical representation is provided in the network-based communication environment displayed to the second end-user. The difference between the first graphical representation and the second graphical representation is based on the difference between the first social distance and the second social distance.

Abstract: A data processing system includes a processor and associated memory implementing an enterprise data management (EDM) module configured to interact with an enterprise management system. A storage device coupled to the processor, implements an enterprise data management (EDM) database, which stores priority rules used to determine priority scores associated with a plurality of different entities associated with entity records. A communications interface coupled to the processor, transmits the priority rules, to an enterprise management system, and receives priority scores of individual entities, determined based on the priority rules, from the enterprise management system. The priority scores of the individual entities are stored in the EDM database in association with the priority rules, and the EDM module matches the entity records to entities based, at least in part, on the priority scores of the individual entities.

Abstract: A service to provide anomaly detection receives a request to back-test the service. The request includes information for accessing a dataset of historical data. The service executes workflows to ingest the data, train a plurality of machine learning models to perform anomaly detection, and detect anomalies in the dataset. A representation of the detect anomalies is generated and presented to a user. The service receives an indication to activate the service to provide ongoing anomaly detection services.

Abstract: The disclosure provides an example method for live packet tracing. Some embodiments of the method include configuring a first network interface of a first pod to mark each of a plurality of packets, with a corresponding flow tag and a corresponding packet identifier, receiving, from one or more observation points, at least one of copies or metadata of the plurality of packets each marked with the corresponding flow tag and the corresponding packet identifier. In some embodiments, the method further includes displaying data indicative of the at least one of the copies or the metadata of the plurality of packets.

Abstract: An in-vehicle communication device includes: an abnormality detection unit detecting abnormalities in in messages received by a reception unit receiving messages from one or more other devices; an estimation unit estimating normal information corresponding to information in which abnormalities have been detected; and a replacement unit replacing information included in messages received by the reception unit with information estimated by the estimation unit.

Abstract: A technique is provided for creating digital memories for a particular person. A data store stores personal data derived from signals gathered from a plurality of sensors that monitor the particular person. Memories creation processing circuitry, responsive to detection of a given event associated with the particular person, performs an augmentation process to generate an augmented given event identifying multiple items of data associated with the given event, including personal data associated with the given event obtained from the data store. The memories creation processing circuitry analyses the multiple items of data identified by the augmented given event in order to generate a given digital memory for the given event. A memories data store stores digital memories generated by the memories creation processing circuitry for the particular person, and memories analysis circuitry determines and maintains associations between the digital memories in the memories data store.