Abstract: Embodiments for granular replication of data with high efficiency. A defined metadata element embodied as a tag is assigned to each file. Tag filtering is used to direct the data to the proper location. Files with different tags can be selected for transfer. Embodiments can be used with a defined backup system file replication process, such as present in the Data Domain File System. By using snapshots, incoming new data is continued to be ingested while the replication is in process and maintaining data consistency at the same time. This is achieved by performing operations on B+ Tree snapshots in conjunction with tag filtering on keys present in the leaf pages of these structures. This method efficiently makes a single pass walk of a B+ Tree in contrast with previous methods that look up files one-by-one via their pathname.

Abstract: Disclosed herein is a system for storing a record of operations performed on a plurality of databases in which data in each database is a duplicate of a portion of data in each other database of the plurality of databases. The system comprises a plurality of servers, each server comprising a database of the plurality of databases, and a blockchain of a first distributed ledger, the blockchain of the first distributed ledger comprising one or more records of operations performed on the database, and at least one miner. Each miner comprises a blockchain of a second distributed ledger, the blockchain of the second distributed ledger comprising a record of data indicative of one or more records stored on the first distributed ledger.

Abstract: Disclosed are various embodiments for generating relevant notifications of content generated by third party data sources. In some embodiments, a system comprises a computing device and machine readable instructions. The computing device includes a processor and a memory. The machine-readable instructions can be stored in the memory that, when executed by the processor, cause the computing device to receive content from a third party data source based at least in part on a keyword topic. An embedding for the content is generated. The system can classify a portion of the content as associated with the keyword topic. Organizations can be identified from the portions of the content. The system can generate a list from the organizations identified in the content and transmit a notification to a client device regarding the content.

Abstract: Non-limiting examples of the present disclosure describe systems and methods for scanning of data for policy compliance. In one example, network data is evaluated to generate one or more groupings. A grouping may be based on file type of the network data. Data identification rules are applied to identify one or more data schemas from file data of a grouping. One or more policy rules that apply to content of the data schema may be determined. At least one file of the file data may be scanned to determine compliance with the one or more policy rules. A report of compliance with the one or more policy rules may be generated based on a result of a file scan. Other examples are also described.

Abstract: The subject technology receives, in an application on an electronic device, a message, the message being associated with a user and including information in a header portion of the message. The subject technology determines, on the electronic device, a current state of messaging activity of the user based at least in part on a log of previous events associated with the user, where the log of previous events includes information that has been hashed using a cryptographic hash function. The subject technology determines, on the electronic device using a set of rules provided by a machine learning model, that the user is likely to view the message based on the current state of the messaging activity of the user. The subject technology sets, on the electronic device, an indication that the message is important based on the determining.

Abstract: A computer-implemented system and method process a private transaction for dividing a blockchain transaction into a plurality of requests. Each of the requests have transaction data and a same transaction identifier. Each request is sent to a respective participating shard of a set of participating shards in the blockchain transaction of the blockchain. A response to the request is received from each participating shard, and each of the responses is sent to at least the participating shards except the shard the response was received from. In an atomic commit operation, a prepare transaction is created comprising information from the responses and the transaction identifier. The prepare transaction is submitted to the blockchain, and validity answers are received from the shards.

Abstract: A method of providing blind vertical learning includes creating, based on assembled data, a neural network having n bottom portions and a top portion and transmitting each bottom portion of then bottom portions to a client device. The training of the neural network includes accepting a, output from each bottom portion of the neural network, joining the plurality of outputs at a fusion layer, passing the fused outputs to the top portion of the neural network, carrying out a forward propagation step at the top portion of neural network, calculating a loss value after the forward propagation step, calculating a set of gradients of the loss value with respect to server-side model parameters and passing subsets of the set of gradients to a client device. After training, the method includes combining the trained bottom portion from each client device into a combined model.

Abstract: A method may include, in an initial virtual machine session for a user running on a virtual machine at a virtualization server, loading a roaming user profile for the user, generating a user search index database for the user, and indexing the roaming user profile in the user search index database. The method may further include, in a subsequent virtual machine session for the user running on the virtualization server, roaming the user search index database to the subsequent virtual machine session as part of the roaming user profile.

Abstract: A first device participating in a blockchain receives an indication of an error in the blockchain being maintained by the first device. The first device determines a defective block of the blockchain and receives a replacement for the defective block from a second device. The first device determines a recalculated blockchain that includes the replacement for the defective block.

Abstract: Synchronously replicating a dataset across cloud-based storage systems, including adding a cloud-based storage system to a set of storage systems that the dataset is synchronously replicated across, where access operations are applied to the dataset equivalently through all storage systems in the set, all storage systems in the set store a separate copy of the dataset, and operations to modify the dataset performed and completed through any of the storage systems in the set are reflected in access operations to read the dataset, the cloud-based storage system including one or more cloud computing instances executing a storage controller application, a virtual drive layer that includes one or more cloud computing instances with local storage for storing at least a portion of the dataset as block data, and an object storage layer for storing at least a portion of the dataset as object data.

Abstract: According to embodiments of the present disclosure, a method, device and computer program product for information processing are proposed. The method comprises: obtaining identification information of a shard of metadata at a first node of a blockchain-based metadata management system; determining, based on similarities of the identification information of the shard and identification information of candidate nodes of the metadata management system, a second node for positioning the shard from the candidate nodes; and enabling the second node to process the identification information of the shard, to manage storage of the shard in the metadata management system. Therefore, the present solution can improve efficiency, security and robustness of the metadata management system.

Abstract: One example method, which may be performed in connection with an object store, includes receiving a key of a key-value pair, correlating the key to a location in a base of a Merkle tree, inserting the key at the location, hashing the value associated with the key to produce a data hash, and inserting the data hash in the Merkle tree. The Merkle tree may then be checked for consistency, and synchronized with another Merkle tree. The Merkle tree may be of a fixed size, and insertion of the key in the Merkle tree does not change the location of any keys existing in the Merkle tree prior to insertion of the new key.

Abstract: A method and system for identifying garbage data, an electronic device, and a storage medium. The method includes: uploading an object to a distributed object storage system; acquiring a head object identifier in an index storage pool of the distributed object storage system; querying a data storage pool for a target data group corresponding to the head object identifier; marking a tail object corresponding to a tail object identifier in the target data group as a target tail object; and marking tail objects in the data storage pool other than the target tail object as garbage data.

Abstract: A method for operating a database and a cache of at least a portion of the database may include receiving a plurality of read requests to read a data entity from the database and counting respective quantities of the requests serviced from the database and from the cache. The method may further include receiving a write request to alter the data entity in the database and determining whether to update the cache to reflect the alteration to the data entity in the write request according to the quantity of the requests serviced from the database and the quantity of the requests serviced from the cache. In an embodiment, the method further includes causing the cache to be updated when a ratio of the quantity of the requests serviced from the database to the quantity of the requests serviced from the cache exceeds a predetermined threshold.

Abstract: A non-transitory computer-readable medium includes instructions that, when executed, cause one or more processors of a first electronic device to receive data generated by a plurality of components of an industrial automation system and characterize one or more portions of the data by applying metadata to the one or more portions of the data. The metadata enables a second electronic device receiving the data to determine one or more contexts of the one or more portions of the data. Furthermore, the computer-executable instructions, when executed, cause the one or more processors to rearrange an order of the one or more portions of the data and cause the characterized and rearranged data to be sent to the second electronic device.

Abstract: A computer-implemented method according to one embodiment includes monitoring for occurrence of trigger events corresponding to creation of metadata in a computing environment, and detecting occurrence of a trigger event. The method further includes loading a rule that is associated with the detected trigger event in response to detecting occurrence of the trigger event. The rule includes a condition and an action, and the action defines a subset of metadata associated with processing a job in the computing environment. The method further includes collecting the defined subset of metadata in accordance with the action in response to the condition of the rule being met, and storing the collected subset of metadata. A system according to another embodiment includes a processor, and logic integrated with the processor, executable by the processor, or integrated with and executable by the processor. The logic is configured to perform the foregoing method.

Abstract: A method includes, for files in a storage system requested in sequence by an application, identifying a pre-file and identifying a post-file requested after the pre-file. The method also includes incrementing a pre-read count for the pre-file in file attributes associated with the pre-file and incrementing a post-read count for the post-file in file attributes associated with the post-file. The method includes selecting a position in a save list for each file based on the pre-read and post-read counts and saving the files on tape media according to the relative positions of the files in the save list. A computer program product includes one or more computer readable storage media and program instructions collectively stored on the one or more computer readable storage media. The program instructions includes program instructions to perform foregoing method. A system includes a processor and logic configured to perform the foregoing method.

Abstract: Systems and methods for identifying individuals with a user-requested expertise are provided. For example, the system can include a processor configured to receive a user input and extract one or more keywords from the input. The processor can generate search requests based upon the one or more keywords, each search request identifying at least one application programming interface (API) call configured to invoke at least one API function as exposed by a software application. The processor can transmit the search requests to the software applications and receive search responses. The processor can determine a plurality of software application users and a set of associated evidence, each set of associated evidence including user interactions with each of the software applications. The processor can aggregate the evidence into an aggregated data set and configure the aggregated data set as an input to a machine learning classifier for ranking the sets of evidence.

Abstract: According to a distributed storage system-based data processing method and a storage device provided in the present disclosure, a storage node is selected as a primary storage node in a partition in the distributed storage system. During data reading, after receiving a read I/O request from an initiator, the primary storage node determines whether a target data object that the read I/O request requests to read on the primary storage node is trustworthy; and when the target data object is trustworthy, directly reads the target data object from the primary storage node and returns the target data object to the initiator of the read I/O request.

Abstract: A system for element tracking in documents includes a memory device, a database, and a processor. The memory device is configured to store a mapping in a memory between a linked element within a document and a database object. The database is configured to store the database object. The processor is configured to in response to an update of the database object: a) cause storage in the database of an update event associated with the linked element; and b) provide an update indication that the update associated with the linked element has occurred.