Abstract: Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products for predictive dynamic bidding rules generation for digital content objects.

Abstract: Systems and methods are provided for a decentralized distributed ledger that hosts a directory service for customer aliases to facilitate obtaining customer account details.

Abstract: Provided are complex control instruction chains to be performed in an (automation) network, in which nodes and/or device nodes and/or blockchain-external devices are networked to one another, in a simple manner even if different operators of the individual nodes and devices do not trust one another.

Abstract: Examples of the present disclosure relate to content delivery using distributed ledger and AI-based transcoding technologies. In examples, a content distribution network (CDN) receives content from a content source for distribution to client devices. A content record is generated for the content, which comprises a content hash for the content. The content record may be stored in a distributed ledger. A smart contract associated with the content may be generated, where the smart contract facilitates CDN analytics or accounting for CDN service payments, licensing fees, or royalty payments, among other examples. The smart contract may be associated with the content hash and may be executed based on any of a variety of triggers, such as content playback and/or distribution via the CDN.

Abstract: In some examples, a field replaceable unit (FRU) storage device includes a storage medium storing a plurality of information areas and a common header for the plurality of information areas. The common header contains an indicator that when set to a first value indicates presence in the FRU storage device of first electronic component data according to an extended format that is different from a first format governing storage of second electronic component data in the FRU storage device relating to an electronic component in an FRU. The common header contains a field set to location information referring to a storage location of a file system area on the FRU storage device when the indicator is set to the first value, the file system area containing the first electronic component data according to the extended format and that relates to an electronic component in the FRU, wherein the file system area is accessible by a file system using information in the file system area.

Abstract: An indication to migrate requested data objects stored in a source database environment to a destination database environment is received. Some of data objects have many-to-one relationships with other data objects in the source database environment. At least one snapshot file generated by the source database environment is transferred to a destination database environment in bulk transfer mode. Subsequent incoming data received during bulk transfer mode, after the indication is stored in a temporary table. Upon completion of migration of the requested data objects the system transitions from bulk transfer mode to streaming mode. The subsequent incoming data from the temporary table is transferred to the destination database environment in response to the transition to streaming mode. Additional data received after the temporary table is empty is transferred from the source database environment to the destination database environment without use of the temporary table.

Abstract: An equipment management system comprises a gateway apparatus having an interface configured to receive an operation command for operating an equipment, a first database configured to store first information allowed access from the gateway apparatus, a second database configured to store second information prohibited access from the gateway apparatus, and a controller configured to allow access to the first database from the gateway apparatus and prohibit access to the second database from the gateway apparatus. The second information includes equipment information collected from a control apparatus controlling the equipment.

Abstract: Scalable architectures, systems, and services are provided herein for creating manifest-based snapshots in distributed computing environments. In some embodiments, responsive to receiving a request to create a snapshot of a data object, a master node identifies multiple slave nodes on which a data object is stored in the cloud-computing platform and creates a snapshot manifest representing the snapshot of the data object. The snapshot manifest comprises a file including a listing of multiple file names in the snapshot manifest and reference information for locating the multiple files in the distributed database system. The snapshot can be created without disrupting I/O operations, e.g., in an online mode by various region servers as directed by the master node. Additionally, a log roll approach to creating the snapshot is also disclosed in which log files are marked. The replaying of log entries can reduce the probability of causal consistency in the snapshot.

Abstract: A prediction device includes: a normal prediction unit configured to predict first prediction values for target ranges of respective models, based on respective pieces of spatio-temporal observation data including observation values for respective observation locations and respective observation times observed for a given time period and the respective models for predicting variations of the pieces of spatio-temporal observation data for the respective target ranges defined for at least one of an observation location or a period; a residual extraction unit configured to extract, based on residuals between the respective pieces of spatio-temporal observation data being observed and the models corresponding to the respective pieces of spatio-temporal observation data based on the pieces of spatio-temporal observation data and the models, the respective pieces of spatio-temporal observation data with residuals greater than or equal to a threshold value, as spatio-temporal residual data; a residual prediction uni

Abstract: A method includes generating a defined access clean room in a provider database account, as well as installing, in a consumer account, an application instance that implements the defined access clean room. The method also includes sharing, by the provider database account, source provider data with the defined access clean room, where the sharing makes the source provider data accessible to the consumer database account via the application instance. The method further includes sharing, by the provider database account, a query template with the consumer database account via the application instance. Additionally, the method includes receiving a query generated by the consumer database account based on the query template, validating that the query is consistent with the query template, responsively generating query results by executing the query, as well as storing the query results in the consumer database account.

Abstract: Embodiments of the present application provide a block verification method, apparatus and device. The method includes: acquiring a block to be detected, where a plurality of transactions are stored in the block to be detected; obtaining a plurality of state operation queues according to a state item of each state operation in each transaction, where each state operation queue includes state operations belonging to the same state item; and performing parallel verification on each state operation queue and obtaining a verification result of the block. Each state operation of each transaction in the block to be detected is divided into the state operation queue corresponding to each state item according to the state item, and parallel verification is performed on each state operation queue.

Abstract: Some implementations of the disclosed systems, apparatus, methods and computer program products may provide for determination of resource usage by tenants in a multi-tenant server system. Tenants may provide resource requests to a database of the multi-tenant server system and such resource requests may include context data. Periodic snapshots of the database may be performed to determine the pending resource requests received by the various tenants and, based on the snapshots and the context data, the resource usage of the various tenants, as well as the system as a whole, may be determined and forecasted for the future.

Abstract: Methods, systems, and media for associating multiple users with a media presentation device are provided. In some embodiments, the method comprises: receiving first user preferences; receiving second user preferences; receiving requests to associate the first user preferences and the second user preferences, respectively, with a media presentation device; causing the first user preferences and the second user preferences to be associated with identifying information of the media presentation device; receiving, from the media presentation device, a request to present a slideshow of images based on user preferences and identifying information of the first user device and a third user device; determining that the first user preferences are associated with the media presentation device; determining that user preferences of the third user device are not associated with the media presentation device; and causing content based on the first user preferences to be presented by the media presentation device.

Abstract: The present disclosure discloses a system and method for batch and real-time feature computation, and the system includes: a management server, one or more batch feature computing units, one or more distributed computing units, one or more real-time feature computing units, an offline database and a real-time database. The management server receives a script containing feature computing logics, starts batch feature computation in a batch feature computing scenario, and deploys the script in a real-time feature computing scenario to generate a real-time computing plan, wherein the script containing the feature computing logics has unity for batch feature computing logics and real-time feature computing logics, and the real-time database obtains and stores data for the real-time feature computation from the offline database. According to the present disclosure, the batch feature computing logics and the real-time feature computing logics may be unified by the script.

Abstract: In various examples, there is provided a computer-implemented method for writing transaction log entries to a transaction log for a database system. At least part of the database system is configured to be executed within a trusted execution environment. The transaction log is stored outside of the trusted execution environment. The method maintains a first secure count representing a number of transaction log entries which have been written to the transaction log for transactions which have been committed to the database and writes a transaction log entry to the transaction log. In other examples, there is also provided is a computer-implemented method for restoring a database system using transaction log entries received from the transaction log and a current value of the first secure count.

Abstract: A name data associating device according to one embodiment associates synonymous name data having different notation between a first database (DB) holding adjacency information and a second DB holding adjacency information and path identification information, and includes: a path information extraction unit that generates all paths having common data common between both DBs as a starting point and the name data in the second DB as vertices, and extracts path information of each path; a path creation unit that, based on the information held by the first DB, generates paths having the same conditions as the extracted path information of each path; and an associating unit that associates the name data between the first and second DBs by extracting, from the generated paths, a combination of paths having more vertices passed through and fewer overlapping parts, and associating the vertices of each extracted path with the vertices of each path generated by the path information extraction unit.

Abstract: Automatic storage system configuration for mediation services that includes: determining that a particular storage system of the storage systems is not configured to request mediation from a mediation target for mediation between storage systems synchronously replicating a dataset; requesting, by the particular storage system from a configuration service, configuration information indicating one or more service handles for a mediation service; and configuring, in dependence upon the one or more service handles received from the configuration service, a mediation handler to communicate with the mediation service responsive to detecting a communication fault with one of the storage systems.

Abstract: An employee data replication system receives a request to replicate employee data hosted by a host system. At least one of: a live date corresponding to when the employee data is to be live on the enterprise system or a selection of one or more applications to be used on the enterprise system is identified. A cutoff date for the employee data is calculated based on one or more of the live date and the selection of one or more applications, the cutoff date indicating an oldest date for which the employee data is to be replicated to the enterprise system. Employee data is replicated from the host system to the enterprise system based on the cutoff date, and an indication is provided that the replication has completed.

Abstract: Provided are a system and method for implementing an incremental data comparison. The system includes: a synchronization T environment, a simulation F environment, a simulation tool, a memory database, a comparison tool and a result database. The T environment includes a synchronization environment core application, a traditional commercial database, an incremental synchronization tool and a synchronization environment distributed database. The F environment includes a simulation environment core application and a simulation environment distributed database. The simulation tool is configured to play back a T environment service and an F environment service. The memory database is configured to store a mapping relationship between message values of the T and F environment. The comparison tool is configured to compare data in the T and F environment according to the mapping relationship between the message values.

Abstract: A central database system provides predictive web navigation using machine learning and clustering to guide a user to a web page. After tracking a number of web pages viewed by various users on one or more web domains and the orders in which these web pages are viewed, the central database system can train a model to predict which web page a user is likely to view next. If the user is lost while navigating, the central database system may guide the user to the predicted web page. In one example of guidance, the central database system presents a web element with a hyperlink to the predicted web page. For example, the central database system can modify a web page that the lost user is presently viewing to include an iframe with a recommendation to travel to a different web page.