Abstract: System and methods are provided for sharding at the content level and routing content requests. Each point of presence (PoP) can initially identify the PoP that should serve content by using hashing. A PoP can encode a domain name with the identified PoP in metadata and redirect the client computing device. A client computing device transmits a DNS query for the encoded domain name. A DNS server receives the encoded domain name and decrypts and decodes the domain name label. The DNS server uses the decrypted and decoded metadata to make a further routing decision. The DNS server sends, to the client computing device, a DNS reply with the Internet Protocol (IP) address of the selected PoP. The client computing device requests content from the PoP identified by the provided IP address.

Abstract: Provided are an electronic device and an operating method thereof. The electronic device includes a communicator, a display, and a processor configured to receive search result data based on a search keyword from a first server through the communicator, request, from a second server through the communicator, additional information indicating whether each web page included in the search result data is an advertising page, and control the display to display the search result data, based on the additional information corresponding to the each web page and received from the second server, wherein the additional information is generated by the second server by using a training model trained using an artificial intelligence (AI) algorithm, based on whether the web page includes an advertisement pattern. Also provided are an AI system using a machine learning algorithm such as deep learning and applications thereof.

Abstract: Systems, methods, and non-transitory computer readable media are provided for customizing pipelines for integrating data. A file to be ingested into a data analysis platform may be determined. The file type of the file may be detected. The file may be transformed based on the file type. The transformation may include applying a set of operations to the file. The set of operations may correspond to a pipeline of operations associated with the file type.

Abstract: A quantum file management system is disclosed. A quantum file manager receives, from a requestor, a request to access a quantum file that comprises a plurality of qubits. The quantum file manager determines, for each respective qubit of the plurality of qubits, a qubit identifier of the respective qubit. The quantum file manager sends, to the requestor in response to the request, information that includes the qubit identifier for each respective qubit of the plurality of qubits.

Abstract: Aspects of the present disclosure provide systems, methods, apparatus, and computer-readable storage media for extracting taxonomies based on hierarchical clustering on graphs related to a corpus of documents and using said taxonomies for classifying and labeling documents. The hierarchical clustering of graphs include the adaptive pruning of nodes at each hierarchy based on betweenness centrality of nodes to form clusters that have modularity score exceeding a minimum modularity threshold.

Abstract: A service monitoring system (SMS) transforms machine data from a monitored information technology (IT) environment into meaningful key performance indicators (KPIs) that each represents some measure of a service implemented by the environment on an ongoing basis. An overall health score for the service is determined from the KPIs and a prediction is made for a future health score. Data regarding a particular KPI and other KPIs is transformed to predicted future values for the particular KPI over a prediction window. Additionally, predicted future KPI scores may be used to determine a KPI impact score reflecting some measure of the degree to which the KPI, its related components, or processing related thereto, can influence the actual future health score. The KPI impact scores condition or direct the future operation of one or more SMS processes.

Abstract: Systems, computer-implemented methods, and non-transitory computer readable media are provided for sharing medical data. The disclosed systems may be configured to create a first workgroup having a first knowledgebase. This first knowledgebase may be federated with a common knowledgebase, and with a second knowledgebase of a second workgroup. At least one of the first knowledgebase, common knowledgebase, and second knowledgebase may be configured to store data items comprising associations, signs, and evidence. The signs may comprise measurements and contexts, and the associations may describe the relationships between the measurements and contexts. The evidence may support these associations. The disclosed systems may be configured to receive a request from a user in the first workgroup, retrieve matching data items, and optionally then output to the user at least some of the retrieved matching data items. The request may comprise at least one of a first association and a first measurement.

Abstract: A key-value storage device includes a non-volatile memory and a controller. The key-value storage device is configured to communicate with a host and includes a controller and a non-volatile memory. The controller is configured to receive, from the host, a first command including a key, a first chunk among multiple chunks included in a value corresponding to the key, and a first chunk index corresponding to the first chunk. The controller is configured to store mapping information of the first chunk in a mapping table based on the key and the first chunk index. The non-volatile memory is configured to store the key and the first chunk based on the mapping information.

Abstract: Provided is an electronic device including a file system, a memory, and a processor. The memory stores at least one instruction that instructs, when executed, the processor to receive a request for access to a file or directory stored in a user data area of the file system. In response to the reception of the request, first information associated with the file or directory is store in the memory, and the size of the file or directory is displayed using the first information. When the first information is information associated with the file, the information indicates the size of the file. When the first information is information associated with the directory, the information indicates a sum of the sizes of all subdirectories and all files included in the directory.

Abstract: A method, performed by at least one processor, and an apparatus for cross-lingual text-to-SQL semantic parsing is provided. The method and computer program code performed by the at least one processor include: generating a contextual representation of a source language utterances, a target language utterances, and a database schema; generating a mixed representation of the target language utterances and the database schema based on the contextual representation of the source language utterances, the target language utterances, and the database schema; concatenating the mixed representation of the target language utterances and the database schema; encoding the concatenated mixed representation of the target language utterances and the database schema, based on k-layer transformers; and generating SQL queries token-by-token based on the encoded concatenated mixed representation of the target language utterances and the database schema.

Abstract: A distributed system responds to a request to enable restoration capability for a database instance by beginning a process for monitoring configuration changes made to a first operating environment of a first database instance. The system identifies a configuration change on which the database instance is dependent, and stores a record of the configuration change. The record is provided to a second operating environment. The second operating environment is configured, based on the record of the configuration change, to have configuration settings corresponding to the first operating environment as of the restoration point in time. The database instance is restored to the second operating environment.

Abstract: A method at an aggregator includes: storing previous search results resulting from previous client search requests, and for each previous search result, a previous handling indicator, indicating a relevance of the previous search result to the client; receiving, from the client, a search request containing search parameters; in response to the search request, selecting a subset of previous search results based on correspondence between attributes of the previous search results and the search parameters, and on the previous handling indicators; providing, to a supplier, the search request and auxiliary search parameters corresponding to the selected previous search results and indicating characteristics of the selected previous search results, for generation of current search results at the supplier employing the auxiliary search parameters as inputs; receiving, from the supplier, the current search results generated at the supplier; and returning at least one of the current search results to the client.

Abstract: A computer system obtains a data model that encodes a data source as a tree of logical tables. Each logical table includes respective data fields of the data source. For each data field in the logical tables, the system automatically assigns a semantic role to the data field based on a concept obtained from a concept graph. The system determines hierarchies between the data field and other data fields in the first data source based on a respective semantic role of the data field and semantic roles of the other data fields. The system validates the data field based on the assigned semantic role and the determined hierarchies. The system displays transformations to clean the data field based on the assigned semantic role. The system transforms data values for the data field according to a user input and updates the logical tables according to the transformed data values.

Abstract: A method is used in managing truncation of files of file systems. A request is received to delete a portion of a file of a file system. The file system includes a plurality of files. Metadata of the file is evaluated for determining a number of file system blocks associated with the portion of the file that are available for de-allocation. Storage space associated with the file system blocks is reported as available storage space to a user of the file.

Abstract: In some embodiments, a synchronization system can synchronize symbolic links across multiple devices. For example, a content management system can receive, from a client device, one or more synchronization operations for synchronizing content items between the content management system and the client device. The content items can be content items associated with a user account registered at the content management system. The content management system can determine that the one or more synchronization operations include an operation for adding a content item to the user account, and that the content item is a symbolic link that includes a path to a target content item. The content management system can then synchronize the content item as a symbolic link.

Abstract: Systems, computer-readable media, and methods are provided. Relevant documents related to a specific entity are identified based on document metadata. Text and associated spatial coordinates are extracted based on relevant document pages. Significant document entities and associated spatial locations are identified. Page ranking is based on the extracted text and the spatial coordinates, the significant document entities, and image vector representations of the pages. A deep learning language model that utilizes the text and the spatial coordinates, layout information of the document entities, and the image vector representations of the pages is used to extract the user-defined attributes from the relevant document pages. First attribute values associated with the user-defined attributes are aggregated from the pages of one of the relevant documents into a single record. Second attribute values associated with the user-defined attributes are aggregated across the relevant documents.

Abstract: An example operation may include one or more of receiving an example in a blockchain network, distributing the example to a plurality of endorsing peers of the blockchain network, performing, by one or more of the endorsing peers, automated analysis of the example to determine an inference for the example, determining if there is a consensus of inference amongst the plurality of endorsing peers, and committing the example to a blockchain of the blockchain network when there is a consensus of inference.

Abstract: Systems and methods are provided to assess lawncare at an area. The system can include a computer processor (CP) and a database.

Abstract: File management is enabled for large numbers of files. Example file management includes setting a grouping identifier for a file. The method further includes determining a storage address of a data block of the file, the storage address indicating an extent where the data block is located and an offset. The method further includes setting, in a storage region of the extent corresponding to the grouping identifier, a flag for the data block based on the offset. In this manner, a large number of files in a distributed file system can be managed more efficiently.

Abstract: Examples implementations relate to journals for metadata changes. An example includes detecting, by a storage controller, metadata changes associated with a container index of a deduplication storage system; recording, by the storage controller, the detected metadata changes in a journal associated with the container index, where the journal is included in a journal group comprising a plurality of journals; determining, by the storage controller, whether a filled amount of the journal exceeds a fill threshold; and, in response to a determination that the filled amount of the journal does not exceed the fill threshold, writing the journal group from memory to persistent storage.