Abstract: A method relates to backing up a VM. The method can include placing an application being hosted by a VM in a backup state and capturing a snapshot of the VM to generate a VM image of the VM. The method can further comprise resuming the application, extracting application blocks corresponding to the application from the mounted VM image, and storing the application blocks and the VM image.

Abstract: Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for distributed data processing. One of the methods includes: generating a first Bloom filter based on data of a local device, and sending the first Bloom filter to a remote device; receiving a second Bloom filter from the remote device, wherein the second Bloom filter is generated by the remote device based on data of the remote device; filtering data of the local device by using the first Bloom filter and the second Bloom filter to produce successfully filtered data and unsuccessfully filtered data; and performing a join operation on unsuccessfully filtered data.

Abstract: Systems, methods, and computer-readable storage media for processing database requests on a database hosted on a stateless, non-persistent computing environment are provided. A server stores database requests to insert update or delete data in a unit of work set identified by a unique code. The database requests are performed on the database upon receiving an instruction to commit the database requests to the database. If an instruction is sent to rollback a unit of work set the database remains unchanged. This allows a client to handle requests in logical groups.

Abstract: In an example, method of data protection in a document database system includes grouping documents input to the document database system into super documents, each of the super documents including a plurality of chunks, each of the plurality of chunks including one of the documents. The method further includes operating an object storage system according to a storage policy that implements parity processing, where the parity processing includes computing parity chunks for the super documents and storing the parity chunks in an object store, where a plurality of the parity chunks are computed for each of the super documents. The method further includes sending each of the super documents to the object storage system for parity processing according to the storage policy.

Abstract: Disclosed herein are methods and systems for identifying targets for distinguishing cell types. In some embodiments, the method comprises: hierarchically clustering expression profiles of cells to generate a dendrogram with each leaf representing the expression profile of a different individual cell. The dendrogram can be pruned by eliminating invalid splits (and their children). The remaining leaves in the dendrogram can be merged, independent of their locations in the dendrogram, based on their distances to one another to generate clusters of expression profiles. The method can identify targets for distinguishing cell types based on targets that are expressed differentially in the clusters.

Abstract: A method, computer system, and a computer program product for compressing at least one delta file for a plurality of genomic data files is provided. The present invention may include receiving the plurality of genomic data files as input. The present invention may also include determining a plurality of rows by traversing the received plurality of genomic data files. The present invention may then include comparing the plurality of rows associated with the traversed plurality of genomic data files. The present invention may further include generating a plurality of resulting delta files based on the compared plurality of rows. The present invention may also include compressing the generated plurality of resulting delta files by utilizing a general purpose file compressor.

Abstract: Disclosed embodiments provide improvements in integration template generation. In embodiments, existing customer integration flows already created by users are analyzed using computer-implemented methods, and from these customer integration flows, templates are created that encapsulate the general patterns that are seen in existing customer integration flows. The customer integration flows are anonymized by removing proprietary and/or identifying data. The result is customer integration templates based on actual real-world usage, which can more accurately resemble the needs of customers as compared to traditional templates that are authored by someone envisioning how he thinks the applications will be linked together, but not based on how they actually are used. Disclosed embodiments can generate integration templates based on general patterns encountered by multiple users that serve as a good starting point for any user that wants to do similar integrations.

Abstract: Techniques for generating interest embedding vectors are disclosed. In some embodiments, a system/process/computer program product for generating interest embedding vectors includes aggregating a plurality of web documents associated with one or more entities, wherein the web documents are retrieved from a plurality of online content sources including one or more websites; selecting a plurality of tokens based on processing of the plurality of web documents; and generating embeddings of the selected tokens in an embedding space.

Abstract: A distributed network of participating Extract Transform Load (ETL) servers is received. Data source mappings are generated for the distributed network, where the data source mappings indicate which participating ETL servers in the distributed network have access to which tables in data sources. Network metrics are obtained that indicate, for each pair of participating ETL servers, an average data transmission speed and a unit cost. Data source metrics are obtained for the tables in the data sources. A link mappings table is generated that lists mappings of each link to a network in between participating ETL servers. A plurality of distributed execution plans are generated using the network metrics, the data source metrics, and the link mappings table. An execution plan is selected from the plurality of execution plans according to an optimization criteria. The selected execution plan is executed.

Abstract: This specification describes techniques for managing assets in a blockchain. One example method includes receiving, from a target user recorded in a distributed database of the blockchain network, a user input including a request to generate an asset object in the blockchain network, the blockchain network including an account object and a contract object, determining, based on the user input, an asset type of the asset object, initiating, in the blockchain network, the contract object corresponding to generate the asset object based on the asset type, the asset object including a digital asset corresponding to a physical asset associated with the target user, assigning the asset object to a target object of the target user, and adding address information of the asset object to the target object.

Abstract: Various embodiments relate generally to a system, a device and a method for expression-based retrieval of expressive media content. A request may be received to search for content items in a media content management system. Media content items may be procured from different content sources through application programming interfaces, user devices, and/or web servers. Media content items may be analyzed to determine one or more metadata attributes, including an expressions. Metadata attributes may be stored as one or more content associations. The media content items may be stored and categorized based on the content associations. A search router rules engine may determine search intent based on the search query, which may include a pictorial representation of an expression, such as an emoji. A dynamic interface may be integrated in a device operating system through various access points, including a button, a trigger key, a keyword trigger, and an overlay button.

Abstract: A system can comprise one or more processors; and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform: receiving a request for a write operation of an input record in a data store associated with a sharded database and an alternate-key-global-index (AKGI) database; generating a new optimistic lock value, the new optimistic lock value being unique in the sharded database; when the data store does not include a data record associated with the input record, creating the dummy data record in the data store; locking the data record for the write operation by setting the DROpLock of the data record to the new optimistic lock value; and performing the write operation of the input record in the AKGI database and the sharded database.

Abstract: A technology is provided for conflict resolution in a data proxy for a mutation. A mutation may be received at a data proxy from an application, and the data proxy is in a service provider environment. The mutation may be sent to be processed by a data store via a data access resolver. A conflict message may be received at the data proxy via the data access resolver for a conflict mutation at the data store for the mutation. The conflict may be resolved at the data proxy using a conflict resolution function in the data proxy.

Abstract: Embodiments of the present disclosure disclose a data processing method, including: receiving an upload instruction for a target file; obtaining storage location information of the target file in response to the upload instruction; and uploading the target file to a corresponding target first storage device in K first storage devices and M second storage devices according to location information of the K first storage devices and location information of the M second storage devices, so that when determining that a preset condition is satisfied, a target second storage device in the M second storage devices generates M parity blocks according to a file stored in the target second storage device, respectively stores M?1 parity blocks in remaining M?1 second storage devices, deletes the file stored in the target second storage device, and instructs the remaining M?1 second storage devices to delete files stored in the remaining M?1 second storage devices.

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 computer-implemented method for migrating a source container with a running application to a target container may be provided. The method includes providing a source container motion daemon being executed in the source container management system, and a target container motion daemon being executed in the target container management system, and creating a host container hosting an encapsulated container environment in the target container management system. The host container is executing a host container motion daemon and the target container. The method also includes connecting a container motion controller to the source container motion daemon, the target container motion daemon and the host container motion daemon, and copying content of a source memory of the source container to a target memory via the source container motion daemon and the host container motion daemon under control of the container motion controller.

Abstract: A method, computer program product, and system for providing provenance tracking in a workflow system. The computer-implemented process provides for one or more processors to receive a workflow definition input. One or more processors perform workflow job commands, in response to receiving a workflow definition, and a workflow instance request. One or more processors access an input file associated with the workflow instance. One or more processors generate, at run-time, provenance metadata. One or more processors generate, at run-time, a global file identification (ID) associated with an output file. One or more processors link the global file ID and the provenance metadata to the output file of the workflow instance, and one or more processors store the output file, which includes the global file ID and the provenance metadata, both linked to the output file.

Abstract: Systems and methods are disclosed for recommending query templates to a user. The system can identify a token query parameter from a portion of a query entered in a user interface, and use the token to identify a query template from a group of query templates. In some cases, some of the query templates can correspond to other queries associated with users of different tenants and can be generated by replacing user query parameters with placeholders. The system can identify query parameters for the placeholders and cause a user interface to display the query template with the query parameters in place of the placeholders.

Abstract: A method of extracting jargon from a document corpus stored in a database using a processor and a user interface is described herein. A sub-domain input is entered through the user interface to initiate a review of the document corpus stored in the database. The processor separates the document corpus into at least one sub-corpus and a remainder corpus. The at least one sub-corpus is defined by the sub-domain input. A first topic model and a second topic model are built to generate respective topic similarity scores for at least one term extracted from the at least one sub-corpus and at least one corresponding term extracted from the remainder corpus. The respective topic similarity scores are compared by the processor to identify jargon terms and thereby provide a list of jargon terms through the user interface.

Abstract: According to one aspect, a distributed database system is configured to manage multi-writer operations on a distributed database by implementing one or more catamorphic database operators. Catamorphic operators can be architected on the system, and executed with little or no reconciliation logic. Catamorphic operators define sets of catamorphic operations and respective execution logic where the order of execution of catamorphic operations is not relevant to a final result.