Abstract: Embodiments of the present invention provide a data management technology. An OSD receives a strip write request sent by a client server, where the strip write request carries a to-be-written strip, a version number of the to-be-written strip, an offset of the to-be-written strip, and an object ID of the to-be-written strip; and the OSD writes the to-be-written strip into a storage location determined by using the object ID, the version number of the to-be-written strip, and the offset of the to-be-written strip. By applying the present invention, a quantity of object IDs can be reduced.

Abstract: Data content governance for presentation layer synchronization for a version controlled underlying data model includes defining a data model for underlying data in a database, specifying a presentation layer for the defined data model and identifying selected elements of the data model necessary to meet data requirements of the specified presentation layer. Then, the identified selected elements of the data model are serialized and both the specified presentation layer and the serialized elements are versioned in respect to the specified presentation layer. Thereafter, when the data model becomes modified, the specified presentation layer is modified to accommodate the modified data model. In response to the modification, a different selection of elements of the data model necessary to meet data requirements of the modified presentation layer are re-identified and serialized, with the modified presentation layer and the serialized re-identified different selection of elements becoming re-versioned.

Abstract: A data security method, including creating an interaction graph, by analyzing collected interaction events between users and between users and files and/or records, where a respective node of the interaction graph represents a specific one of a user, a record, and a file, where a respective edge indicates an interaction between respective users or between a respective user and a respective file and/or record, where an interaction weight assigned to the respective edge indicates an amount of the interaction, monitoring an attempt by a target user to access a target file and/or record, computing a target interaction weight between the target user and the target file and/or record from the interaction graph, and in response to the target interaction weight being below a target threshold, at least one of filtering security alerts, and blocking access by the target user to the target file and/or record.

Abstract: A method for determining size information related one or more snapshots related to file systems stored in a storage system, the method may include (a) sampling one or more combinations of points in time and logical spaces, the logical spaces are associated with the one or more file systems to provide sampled combinations of sampled portions of file system entities (FSEs) and sampled points in time; (b) searching for relevant snapshots that are relevant to the sampled combinations to provide relevant snapshots at the sampled points in time; and (c) determining physical sizes of the relevant snapshots at the sampled point in time; wherein a number of samples per sampled FSE is indicative of a size of the sampled FSEs.

Abstract: A method and system for dynamically determining a minimum support for automation mining is provided. The method and system include modifying the minimum support pattern such that the minimum support can result pattern mining algorithms finding a sufficient number of patterns in a practical duration.

Abstract: Introduced here are approaches to determining causal relationships in mixed datasets containing data related to continuous variables and discrete variables. To accomplish this, a marketing insight and intelligence platform may employ a multi-phase approach in which dependency is established before the data related to continuous variables is discretized. Such an approach ensures that information regarding dependence is not lost through discretization.

Abstract: Systems and methods are described to a database comprising multiple database records, where each database record comprises an attribute of a content item consumed by a user and an indication of a user device used by the user to consume the content item, and is associated with an indication of whether a content provider should be granted access to the respective database record. An option to modify whether or not the content provider should be granted access to the respective database record is provided for each database record of the database records, and each database record that is associated with an indication that the content provider should be granted access is transmitted to the content provider, to enable the content provider to generate and transmit a content recommendation based on at least one of the database records transmitted to the content provider.

Abstract: A key-value engine of a storage system may perform a restart recovery after a system failure. The key-value engine may read a metadata log to locate a latest system checkpoint, and load a page mapping table from the latest system checkpoint. The key-value engine may replay to apply changes to the page mapping table from a system transaction log starting from a system transaction replay starting point. The key-value engine may further form one or more read-only replicas using an underlying file stream opened in a read-only mode during the recovery after the system failure to further facilitate fast recovery and provide fast response to user transactions that conduct read only transactions after the system failure.

Abstract: Provided herein are systems and methods for a database object (e.g., materialized table) configuration including scheduling refreshes of the materialized table. For example, a method includes determining a dependency graph for a first MT. The dependency graph comprises a second MT from which the first MT depends. The first MT includes a query on one or more base tables and a lag duration value. The lag duration value indicates a maximum time period that a result of a prior refresh of the query can lag behind a current time instance. A tick period is selected for a set of ticks based on the lag duration value. The set of ticks corresponds to a set of aligned time instances. Refresh operations are scheduled for the first and second MTs at corresponding time instances from the set of aligned time instances. The corresponding time instances are separated by the tick period.

Abstract: A method and apparatus for creating a system disk snapshot of a virtual machine comprises: receiving an instruction for creating a snapshot of a virtual machine; determining existence of a power-on state; renaming a top file in a system disk in response to the received instruction if the power-on state exists; creating a new top file in response to renaming the top file, directing dependency of the new top file to the renamed top file and opening the new top file; determining whether a preceding snapshot is created successfully; using the renamed top file as a first snapshot file if the preceding snapshot is successful; and uploading the first snapshot file to a file management server. Accordingly, when a system disk snapshot is created in a power-on state, the snapshot may be created without stopping the virtual machine, thereby reducing requirements for data back up, storage space, and network bandwidth.

Abstract: A computer-implemented method to estimate an execution time for large query batches. The method includes identifying a batch of queries, where the batch of queries where each query is configured to retrieve data from a database. Selecting a first query and generating an access path for the first query including one or more mini plans. Building a learning model for the one or more mini plans. Estimating an estimated execution time for each of the one or more mini plans. Adding each of the estimated execution times for each of the one or more mini plans to determine a first total estimated time for the first query. Displaying the first total estimated time.

Abstract: Disclosed are methods and systems for Semantics Node functions which provide semantics support in machine-to-machine systems. In an example, a Semantic node may manage semantics resources capable of being discovered, retrieved, or validated by other devices. In another example, the Semantics Node may be discovered by other nodes, and semantics resources may be discovered with subscription mechanisms.

Abstract: Systems and methods for architecture embeddings for efficient dynamic synthetic data generation are disclosed. The disclosed systems and methods may include a system for generating synthetic data configured to perform operations. The operations may include retrieving a set of rules associated with a first data profile and generating, by executing a hyperparameter search, a plurality of hyperparameter sets for generative adversarial networks (GANs) that satisfy the set of rules. The operations may include generating mappings between the hyperparameter sets and the first data profile and storing the mappings in a hyperparameter library. The operations may include receiving a request for synthetic data, the request indicating a second data profile and selecting, from the mappings in the hyperparameter library, a hyperparameter set mapped to the second data profile. The operations may include building a GAN using the selected hyperparameter set and generating, using the GAN, a synthetic data set.

Abstract: Techniques are disclosed for adjusting a ranking of information content presented to a user based on voice-of-customer feedback. In one embodiment, a user may provide feedback on information content presented to the user. Such feedback may be evaluated to identify at least one topic referenced in the received feedback. If an application determines that the at least one topic is related to topics of the information content, the application determines sentiment regarding the information content based on the feedback, and adjusts a ranking of the information content based on the determined sentiment.

Abstract: Methods, systems, and programming for retrieving content items for a search are described herein. In a non-limiting embodiment, a query including a plurality of terms may be received. For each of the plurality of terms, a posting list of one or more content items may be obtained. The posting list may include a ranked list of term scores corresponding to the one or more content items, each of the term scores being indicative of a level of relevance of a corresponding content item to a term associated with the posting list. A list of relevant content items for the query may be determined based on the term scores in each posting list for the one or more content items identified with respect to each term. At least one of the relevant content items may be provided as a response to the query.

Abstract: A method, apparatus, and system for managing file level restore agents is provided. The operations comprising: determining a computing resource usage level at a data protection appliance; determining whether the computing resource usage level at the data protection appliance is below a first threshold; in response to determining that the computing resource usage level at the data protection appliance is below a first threshold, assigning a new file level restore-associated job to a first tier file level restore agent for performance; and in response to determining that the computing resource usage level at the data protection appliance is not below a first threshold, assigning the new file level restore-associated job to a second tier file level restore agent for performance.

Abstract: Methods, systems, and media for presenting recommended content based on social cues are provided. In accordance with some embodiments, a method for presenting recommended content is provided comprising: receiving a query associated with a user; generating a list of relevant media content items based on the query; selecting items for presentation to the user based on social relevance scores based on social connections of the user that have consumed a relevant item and contextual relevance scores for each item; causing the selected items to be presented to the user; and indicating that a particular item was consumed by a particular social connection.

Abstract: An SCP data mirroring system includes a chassis housing a central processing system and an SCP subsystem. The SCP subsystem includes an SCP memory system with different priority storage queues each storing a copy of data provided by the central processing system, along with an SCP communication system and an SCP data storage subsystem. During a first time period, the SCP data storage subsystem retrieves a first copy of the data from a first storage queue in the SCP memory system and transmits it via the SCP communication system and through a network for storage on first storage device(s). During a subsequent second time period, the SCP data storage system retrieves a second copy of the data from a lower priority second storage queue in the SCP memory system and transmits it via the SCP communication system and through the network for storage on second storage device(s).

Abstract: A portable electronic device is disclosed comprising data processing means and a data repository containing: data records representative of locations relevant to or within a digital map; and data representative of an index associating words contained in the data records with the records in which those words appear. The device further comprises means for, in relation to a received search query including a search string, processing the search string to provide one or more search words; querying the index to identify data records containing the or each search word; and generating a rank for each of the one or more identified data records indicative of the relevance of each identified data record to the search query.

Abstract: Content items are rearranged within a digital collaboration space (e.g., a digital whiteboard) based on category metadata determined for the content items using one or more learning models. The content items are added to the digital collaboration space by one or more users. For each of the content items, category metadata is determined using a learning model that processes information associated with the content item. A rearrangement of the content items is determined based on the category metadata determined for each of the content items. The content items, rearranged according to the rearrangement, are then output to a layer of the digital collaboration space. Other rearrangements of the content items can be determined based on non-category metadata associated with the content items, and the content items, rearranged according to those other rearrangements, can be output to other layers of the digital collaboration space.