Abstract: A method and system for automatically generating a data determining result includes an acquisition end sending a data acquisition module to a plurality of user terminals, and sending the first data fed back by the user terminals on the data acquisition module to an analysis end. The analysis end generates a display manner of the data determination result on the basis of a configuration condition. The display manner includes analysis items, a first operation logic for determining analysis values of the analysis items and/or a second operation logic for determining cross analysis values of different analysis items. The analysis end determines the analysis value of the analysis items and/or the cross analysis value of the different analysis items in the display manner from the first data, and generates a data determination result.

Abstract: An identification of a new primary snapshot created for a primary storage system is received. A change tracking time window that is at least a portion of a period between a first capture time associated with a previous primary snapshot and a second capture time associated with the new primary snapshot is determined. Entries of a storage log of the primary storage system occurring within the change tracking time window are analyzed to coalesce changes identified in the entries of the storage log occurring within the change tracking time window into a change tracking result set. The change tracking result set is used to identify at least a portion of data changes between the previous primary snapshot and the new primary snapshot to capture in a new backup snapshot stored at a secondary storage system.

Abstract: Disclosed are embodiments for providing batch performance using a stream processor. In one embodiment, a method is disclosed comprising receiving, at a stream processor, an event, the stream processor including a plurality of processing stages; generating, by the stream processor, an augmented event based on the event, the augmented event including at least one additional field not appearing in the event, the additional field generated by an operation selected from the group consisting of a join or dimensional annotation operation; and emitting, by the stream processor, the augmented event to downstream consumer.

Abstract: A memory allocation device includes a storage including at least one memory pool in which a memory piece used to search for a route is previously generated and a controller that determines whether it is possible to search for the route using the previously generated memory piece and determines an added amount of memory pieces to previously allocate a memory of the storage, when it is impossible to search for the route.

Abstract: The present disclosure provides a technical solution related to intelligent knowledge learning and question-answering. The technical solution involves extracting knowledge from corpus and providing a user with a question-answering service based on the extracted knowledge.

Abstract: Data is processed in a distributed computing environment with at least one server and a plurality of clients comprising at least a first client and a second client. The first client sends a first request to the server to obtain result data, receives raw data from the server as a response to the first request, processes the raw data to obtain the result data and stores the result data, and sends the result data to the second client in response to receiving a third request to obtain the result data from the second client.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for storing semi-structured data. One of the methods includes maintaining a plurality of schemas; receiving a first semi-structured data item; determining that the first semi-structured data item does not match any of the schemas in the plurality of schemas; and in response to determining that the first semi-structured data item does not match any of the schemas in the plurality of schemas: generating a new schema, encoding the first semi-structured data item in the first data format to generate the first new encoded data item in accordance with the new schema, storing the first new encoded data item in the data item repository, and associating the first new encoded data item with the new schema.

Abstract: A method, apparatus and network node for clustering a terrestrial area based on Geohash coordinates by selecting a node based on a Geohash area identified by a Geohash string of a predetermined length; subdividing the Geohash area into subareas by increasing the Geohash string by a length of one; and sequencing through the subareas to identify subarea/subareas that exceed a threshold number of a selected parameter. For subareas not exceeding the threshold number of the selected parameter, combining those subareas into clusters without exceeding the threshold number of the selected parameter in respective clusters. For subareas exceeding the threshold number of the selected parameters, subdividing those subareas into further subareas by increasing the Geohash string by one and sequencing through the further subareas to place the further subareas into clusters without exceeding the threshold number of the selected parameter.

Abstract: In an aspect, provided is a method comprising receiving, at a master node, capability information associated with a plurality of worker nodes, receiving, at the master node, an indexation request, and in response to the indexation request, distributing one or more tasks to the plurality of worker nodes based on the respective capability information, wherein the one or more tasks relate to generating a plurality of indexlets.

Abstract: Methods, non-transitory computer-readable media, and query verification apparatuses are disclosed that receive a result vector, an index to the result vector, a range proof, and an inner product proof from a prover device after providing a query vector to the prover device. The prover device hosts a vector database with rows and columns. Second and third commitments to a distance vector and a random linear combination vector, respectively, are generated based on a first commitment to the rows. The range proof is checked using the second commitment and the inner product proof is checked using the third commitment and a generator used to generate the first commitment and identified based on the index. The result vector is returned after confirming that it is one of the rows and each of the rows is as far from the query vector as the result vector based on the check of the proofs.

Abstract: Systems for dynamic data reorganization and query optimization are provided. In some aspects, a database query may be received and evaluated to determine whether it meets one or more criteria. If the database query meets the one or more criteria, the query may be executed and the output of the executed database may be transmitted to the user device. If the database query does not meet the one or more criteria, data associated with the database query may be dynamically modified and/or reorganized (e.g., using machine learning). Modified data may be generated based on the dynamically modified and/or reorganized data. The modified data may be stored in an optimized query cache. An updated query may be generated based on the modified data and stored in the optimized query cache. The updated query may be executed and an output of the executed updated query may be transmitted to the user device.

Abstract: System (100) comprising several edge computing devices (ECD), each one comprising a sensor (S), a memory (M), a Central Processing Unit, CPU and a digital communication interface (IF) allowing digital communication digitally across a network (NW). The invention is characterised in that each device is arranged with a respective interpreting software function, arranged to interpret computer code, received via said interface and stored in said memory, according to a query language having a predetermined syntax; in that said syntax is arranged to define queries the results of which are streams of data; in that each device is arranged to produce a result to at least one query and to communicate said result via said interface, in that said syntax allows said query to be defined in terms of a calculation to be performed based on a measured value from said sensor, and in that the device in question is arranged to perform, as a part of said interpretation, said calculation. The invention also relates to a method.

Abstract: A method is performed by a device of a group of devices in a distributed data replication system. The method includes storing an index of objects in the distributed data replication system, the index being replicated while the objects are stored locally by the plurality of devices in the distributed data replication system. The method also includes conducting a scan of at least a portion of the index and identifying a redundant replica(s) of the at least one of the objects based on the scan of the index. The method further includes de-duplicating the redundant replica(s), and updating the index to reflect the status of the redundant replica.

Abstract: A method, computer program product, and computer system for identifying, by a computing device, a number of extents needed for a create snapshot operation to create a snapshot. The number of extents may be added to an in-memory cache. The number of extents needed for the create snapshot operation may be allocated from the in-memory cache to execute the create snapshot operation. Freed extents may be added to the in-memory cache based upon, at least in part, executing a delete snapshot operation to delete the snapshot.

Abstract: Case management systems and techniques are disclosed. In various embodiments, a trait definition is received that associates with a case node comprising a case model an object associated with an external system, e.g., a document or other content object and/or a business or other software object. The trait definition is used to bind respective instances of the object to corresponding instances of the case node in case instances created based on the case model.

Abstract: One example method includes refreshing secondary or repurposed copies. A copy data management system issues a single request that allows multiple secondary copies to be refreshed using an API server. The server allows a storage controller to read data from a single source and then write the data read from the source to multiple targets simultaneously, thereby refreshing multiple copies in parallel.

Abstract: Methods and systems for similarity-based value-to-column classification are disclosed. A method includes: receiving, by a computing device, a natural language search query; determining, by the computing device, a filtering phrase in the natural language search query using a natural language understanding model; encoding, by the computing device, the filtering phrase; retrieving, by the computing device, a plurality of encoded columns; for each of the plurality of encoded columns, the computing device determining a similarity score based on a similarity between the encoded filtering phrase and the encoded column; and outputting, by the computing device, a column corresponding to an encoded column of the plurality of encoded columns having a highest similarity score.

Abstract: Various embodiments for a data management system for managing inferences are described herein. An embodiment operates by detecting a signal to perform a replication task. Parameters corresponding to the replication task are identified. The replication task is configured to at least partially replicate a source data table from a source repository to a target data table in a target repository, based on the parameters. It is determined that a columnar structure of a first column of the source data table including data to be replicated matches a columnar structure of a second column of the target data table where the data is to be replicated to. The replication task is executed responsive to the determination of the matching structures, the replication task including performing one or more arithmetic operations on the data.

Abstract: Methods, systems, and computer-readable media are provided for collective reconciliation. In some implementations, a query is received, wherein the query is associated at least in part with a type of entity. One or more search results are caused to be generated based at least in part on the query. Previously generated data is retrieved associated with at least one search result of the one or more of search results, the data comprising one or more entity references in the at least one search result corresponding to the type of entity. The one or more entity references are ranked, and an entity result is selected from the one or more entity references based at least in part on the ranking. An answer to the query is provided based at least in part on the entity result.

Abstract: An automated method and apparatus are provided for comparing a source database and a target database that are intended to be kept in synchronization with each other. An application processes database changes that are posted to the source database and replicated to the target database. The source database and the target database are made up of blocks of data. Blocks of data from the source database having database changes are collected. These blocks of data are replicated to the target database. Blocks of data from the target database that correspond to the blocks of data from the source database having database changes are read. Representations of the blocks of data from the source database having database changes are compared to representations of blocks of data from the target database that correspond to the blocks of data from the source database having database changes.