Abstract: Pointer alignment in a computer programming to obtain information enabling a compiler to optimize program code. Equivalence classes of pointers are collected in a program using a flow-insensitive yet field-sensitive pointer analysis operation iterating through an entire program code of the program. The equivalence classes of pointers, once collected, are mapped to and recorded in an equivalence class mapping table (ECTable). A portion of the collected equivalence classes of pointers are identified, from the ECTable, as pointer candidates for a pointer alignment computation according to a code pattern analysis of each pointer candidate. The code pattern analysis is based on available alignment information, and whether the alignment information would enable a compiler to optimize pointer references of the candidate pointer. The pointer alignment computation is then performed for each identified pointer candidate to obtain the alignment information used to optimize execution of the program.

Abstract: In accordance with an embodiment, an analytic applications environment enables data analytics within the context of an organization's enterprise software application or data environment, or a software-as-a-service or other type of cloud environment; and supports the development of computer-executable software analytic applications. A data pipeline or process, such as, for example, an extract, transform, load process, can operate in accordance with an analytic applications schema adapted to address particular analytics use cases or best practices, to receive data from a customer's (tenant's) enterprise software application or data environment, for loading into a data warehouse instance. Each customer (tenant) can additionally be associated with a customer tenancy and a customer schema.

Abstract: A method for providing database management system support to a source application configured to operate with a source database management system Is provided. The method comprises detecting database management system communications issued by the source application to the source database management system; and responsive to said database management systems communications, impersonating the source database management system to the source application.

Abstract: Logs to metrics synthesis includes receiving a log message. It further includes translating the log message into a metrics data point comprising a timestamp, a metric name, a metric value, and a set of metadata key-value pairs. It further includes determining a time series in which to insert the metrics data point into which the log message was translated. It further includes inserting the metrics data point into the determined time series. It further includes updating a metadata catalog based at least in part on the metrics data point.

Abstract: Techniques are provided for processing a database command in a sharded database. The processing of the database command may include generating or otherwise accessing a shard key expression, and evaluating the shard key expression to identify one or more target shards that contain data used to execute the database command.

Abstract: In one aspect, a computerized method includes the step of building an information technology operations analytics (ITOA) stack. The method includes the step of ingesting and storing data at rest. The method includes the step of storing a set of metadata of the ingested data in a virtual machine or a container. The method includes the step of maintaining a set of primary data of the ingested data with an object store. The method includes the step of packaging one or more data units of the set of primary data. The method includes the step of writing over objects at select intervals. The method includes the step of breaking objects into chunks to reduce overwrites. The method includes the step of laying the data out as partitioned by time. The method includes the step of creating one or more application boundaries at the time of ingesting.

Abstract: In some implementations a method may be providing that includes importing database tables from a source system to a target system; obtaining, from a data dictionary, a first metadata about a foreign key association for a first database table to at least one of the database tables; obtaining, from a scan of code, a second metadata about an after import method for the first database table; in response to the second metadata representing that the after import method does not exist for the first database table, storing the first database table in the order table; and in response to the second metadata representing that the after import method does exist for the first database table, scanning for a first indication that the after import method corresponds to a read of at least one other database table before storing the first database table in the order table.

Abstract: A method and an apparatus for organization and detection of homogeneous and heterogeneous swarms of devices and application of swarm intelligence using swarm intelligence framework are provided. The Swarm Intelligence Framework provides a generic platform for realizing solutions involving Swarm Intelligence Technology via flexible container-based Algorithm Plug-in Architecture which is essential to utilize Swarm Intelligence Framework for various scenarios and use cases, including dynamically loading and using the Swarm Detection Algorithm.

Abstract: Techniques are disclosed relating to detecting one or more incorrect fields in user submissions, using machine learning techniques. A corrective system may access information for a plurality of fields of a tracking data structure for a user submission. In some embodiments, the corrective system predicts correct values for multiple fields of the tracking data structure using a plurality of respective different machine learning classifier modules. In some embodiments, the classifier modules use different sets of the plurality of fields as inputs and the multiple fields include a priority of the user submission and an assignee for the user submission. In some embodiments, in response to determining that at least one of the predicted correct values does not match a current value for a corresponding field of the tracking data structure, the computing system stores information indicating the mismatch and may automatically correct one or more fields.

Abstract: A method and system for serving assets is disclosed, comprising receiving an asset request to serve an asset, wherein the asset request originates at an application, and wherein the asset request comprises an advertisement of an asset to be served and a request for the network address of an asset server configured to serve the requested asset. The method further comprises causing a service discovery server to identify an asset server configured to serve the requested asset, and causing the requested asset to be served to the application.

Abstract: Automatic system management is provided by controlling/managing part or all of the system operation through the predefined properties embedded in the components of the management system itself. The creation of Quanta with properties allow the programming of the rules for the system management in a way that any user, client, provider or any other type of participant can interact with the system without the need of an intermediary or approver.

Abstract: In one implementation, a data transformation engine is employed to analyze an incoming JSON schema syntax and use a “best effort” model to convert a plurality of JSON schemas to other types of schemas such as an XML schema. The model is configured to be adaptable and dynamic in order to convert as much of the JSON as possible. In addition, the conversion tool is configured to transform schemas to other technologies and allow for conversion errors within one or more error thresholds. Further, the system may be distributed standalone with no dependencies to other implementations, such as BPM implementations.

Abstract: Methods and systems for securing unstructured data are provided. One method includes generating, by a processor, a schema from unstructured data, the schema including one or more relationships between named entities of the unstructured data; identifying, by the processor, a plurality of semantic relationships between the named entities; determining, by the processor, a sensitive relationship from the plurality of semantic relationships; and anonymizing, by the processor, sensitive data associated with the sensitive relationship by replacing, a first portion of the sensitive data with generalized information.

Abstract: A system receives data associated with a communication between one or more individuals. The data is split between each of the one or more individuals into text associated with that individual. Each of the text is modified to remove stop words and to duplicate key words. The text is merged to form a text corpus, from which a bag of words model is generated. Topics of the bag of words are classified using a topic classifier model. A purpose is identified based on the returned topic and keywords from the topic classifier model. Returned topics and keywords from the topic classifier model are linked to the communication.

Abstract: A DBMS manages a high-performance accelerated database that is synchronized with a conventional client database. The accelerated database contains both “regular” accelerated tables, which each duplicate a table of the client database, and accelerator-only tables (AOTs) that are unique to the accelerated database and that may be used for analytical purposes. AOT rows are archived by moving the rows to a dedicated accelerator-only archive stored in the accelerated database. When a user query attempts to access accelerator-only data, the DBMS rewrites the query to adapt the requested operations to the accelerated database's partitioned archive/non-archive structure. The rewritten query specifies steps for accessing archived and non-archived accelerator-only data without forcing the DBMS front-end to generate a merged view of archived and non-archived accelerator-only data.

Abstract: A method, system, and computer program product for adding media file metadata based on micro-locations of a venue are provided. A media file is detected, where the media file is captured by a user at a venue. A plurality of wireless beacons are detected, where each of the plurality of wireless beacons is associated with a respective micro-location at the venue. A micro-location of the user is determined, based, at least in part, on: (i) a proximity of the user to a wireless beacon of the plurality of wireless beacons, and (ii) the respective micro-location of the wireless beacon. Metadata of the media file is populated, based on the determined micro-location of the user and any tag information for the determined micro-location, where the metadata includes a coordinate that relates to the micro-location of the user.

Abstract: An immutable system of records for achieving compliance in IoT/Control systems in order to thereby provide the regulator with a centralized immutable system of records, is disclosed herein. A blockchain based immutable record management module configured in association with a plurality of control systems associated with a plurality of devices/systems in a heavily regulated industry environment wherein the blockchain based immutable record management module receives and manages a plurality of immutable records from plurality of control systems associated with a plurality of devices/systems in a heavily regulated industry environment. The blockchain based immutable record management module further securely presents the immutable records to the regulators in order thereby enable the industry to inject undisputed facts to the regulators or the regulation authorities.

Abstract: Systems and methods for dynamic computer aided innovation via multidimensional complementary difference recommendation and exploration are disclosed including categorizing a first and second data element in a database with a first attribute and second attribute, respectively, of a first dimension, a dimension being an aspect of a situation, problem, or thing. The first and second data elements are categorized with a first attribute and a second attribute of a second dimension, the second dimension being different from the first dimension. Analyzing the first and second attribute of the first dimension and the first and second attribute of the second dimension to determine a ratio of similarity and dissimilarity; calculating a composite score of the ratio of the first dimension and the ratio of the second dimension; and generating and storing a link between the first and second data element when the composite score is within numerical limits.

Abstract: Techniques and structures to facilitate instantiating a data model, including receiving a parameterized encoding of a data model including one or more scenarios, receiving data from a source, executing one or more operations associated with each of the one or more scenarios to transform the received data and creating a plurality of records for the data model based on the transformed data.

Abstract: When performing a data migration of a first data store management system to a second data store management system, a data migration system receives a data migration rule, based on a data migration rule, converts a first data into a second data, acquires a first data model as a data model of the first data, acquires a second data model as a data model of the second data, and acquires a second program. Then, a data model conversion rule that causes the first data model to correspond to the second data model is generated based on the data migration rule, the first data model, and the second data model, and the second program is converted into a first program based on the data model conversion rule.

Abstract: Information technology discovery data items are received from a plurality of different discovery sources. The received information technology discovery data items are stored in a multisource data store. The received information technology discovery data items from the plurality of different discovery sources are reconciled to determine an attribute value of a configuration item. The determined attribute value of the configuration item is stored in a configuration management database (CMDB).

Abstract: In embodiments, a reusable and adaptive multi-task orchestration dialogue system orchestrates a set of single-task dialogue systems to provide multi-scenario dialogue processing. In embodiments, for each question propounded by a user, using a deep learning predictive model, a best single-task dialogue system is chosen out of the set. In embodiments, multi-task orchestration is done without the need to change, or even understand, the inner workings or mechanisms of the individual single-task dialogue systems in the set. Moreover, the multi-task orchestration is also unconcerned with what rules are set in each individual single-task dialogue system. In embodiments, prior to selection of the best single-task dialogue system to return the best answer, new intents and entities are discovered and used to update an existing dialogue path. In embodiments, additional data is continually collected, and used to retrain model so as to further improve performance.

Abstract: A method and system for co-locating journaling and data storage based on write requests. A write request that includes metadata and data is received from a client. A logical storage unit for storing the metadata and the data is identified. The logical storage unit is divided into a journal partition and a volume partition. The journal partition includes a first log and a second log. Which of the first log and the second log is an active log and which of the first log and the second log is an inactive log are identified. The metadata is recorded in a first location in the active log and the data is recorded in a second location in the active log during a single I/O operation. A reply is sent to the client after the metadata and the data are recorded in the journal partition.

Abstract: Techniques are described herein for leveraging and extending relational data sharding infrastructure to provide comprehensive support for sharding semi-structured and unstructured data, in addition to the relational data, in a single sharded database system. Specifically, techniques are described in which a catalog server pre-gathers all data it needs to answer fetches from a dynamically created temporary lob. In addition, techniques are provided in which a catalog server encodes shard identifiers in lob locators sent to the client. Techniques are provided for pushing down various operators to shard servers.

Abstract: In one embodiment, techniques are provided for aligning source infrastructure data to be compatible with a conceptual schema (e.g., BIS) implemented through an underlying database schema (e.g., DgnDb). Data aligned according to the conceptual schema may serve as a “digital twin” of real-world infrastructure usable throughout various phases of an infrastructure project, with physical information serving as a “backbone”, and non-physical information maintained relative thereto, forming a cohesive whole, while avoiding unwanted data redundancies. Source-format-specific bridge software processes may be provided that that know how to read and interpret source data of a respective source format, and express it in terms of the conceptual schema.

Abstract: Methods and apparatus are provided for automatically transcoding media files. An exemplary method comprises obtaining an input media file having an input file format and encoded with a codec of a first type; automatically determining output media file formats for transcoding the input media file based on statistics of previously transcoded files and statistics of trending media formats for previously downloaded files; transcoding the input media file into transcoded output media files using a codec of a second type to obtain the determined output media file formats; and generating metadata for each of said plurality of transcoded output media files, wherein said metadata is stored in memory as a media catalogue separately from said one or more transcoded output media files.

Abstract: Techniques and solutions are described for implementing virtual table schemas. A virtual table schema includes a logical pointer that is used to target a table that includes data and is defined according to the virtual table schema. Values assigned to the logical pointer can be used to target tables at different locations, such as in-memory storage or in dynamic storage of a database management system. The dynamic storage includes an in-memory buffer cache and persistent storage. The logical pointer can be updated to point to the in-memory storage or the dynamic storage, including based on use statistics. Similarly, a table having data for the virtual table can be transitioned between the in-memory buffer cache and the persistent storage, including based on use statistics for the virtual table. A value for the logical pointer can be updated when the table is transferred between the in-memory buffer cache and the dynamic storage.

Abstract: The subject technology receives a notification that a modification has been made to an external table, the modification comprising inserting at least one row of new data to the external table, the at least one row corresponding to a first micro-partition that includes a first portion of data from the external table prior to the inserting. The subject technology, in response to the notification indicating the modification to the external table, generates a new micro-partition different from the first micro-partition, the new micro-partition including the inserted at least one row of new data and the first portion of data from the external table. The subject technology generates a refreshed materialized view based at least in part on the generated new micro-partition such that the refreshed materialized view comprises a representation of the external table after the modification has been made.

Abstract: Disclosed herein are system, method, and computer program product embodiments for managing timestamp information in memory systems. In an embodiment, an infrastructure may utilize a controller to manage sparse timestamp blocks. These sparse timestamp blocks may manage timestamp information in a persistent memory structure. Controller 110 may utilize a transient timestamp accessor to map the timestamp information for faster hash lookups. Controller 110 may also utilize a garbage collection map as a bitmap to further save processing steps. Controller 110 may utilize the sparse timestamp blocks, transient timestamp accessor, and garbage collection map to efficiently store timestamp data and to quickly retrieve the stored timestamp data.

Abstract: A method for storing a determinant text, an electronic device, and a computer-readable storage medium is disclosed. The method includes: obtaining a determinant text that is to be stored, the determinant text including a plurality of fields; obtaining valid fields from the plurality of fields; querying a field type table according to the valid fields to generate a data description field of the determinant text; determining a value storage field of the determinant text according to contents of the plurality of fields and the field type table; and storing the data description field and the value storage field to store the determinant text.

Abstract: Approaches presented herein enable replicating data records between a source database and a target database. More specifically, for a batch of change records in a table received from the source database, a first estimated replication duration needed to apply the batch as a bulk change to the target is determined. For the same batch, a second estimated replication duration needed to apply a set of changes in a single row of the table to the target is determined based on time penalties for each column in the row. A threshold quantity of rows at which the first duration equals a summed total of second durations for the quantity is calculated. The bulk change is selected if a number of rows in the batch exceeds the threshold. Applying change records singly is selected if the number of rows in the batch is less than the threshold.

Abstract: The disclosure generally describes computer-implemented methods, software, and systems for accessing volumes of data records structured to include sets dimensions, each dimension labelled in a manner specific to respective entities; identifying candidates data records keyed by managed keys that span a subset of dimensions even though at least one dimension from the subset of dimensions is labelled differently between the different volumes; comparing the candidate data records from the different volumes to determine whether a particular managed key is valid based on contents of the candidate data records from the different volumes; in response to determining that the particular managed key is valid, combining the candidate data records keyed by the valid managed key to be merged and accessible as one continuous entry; and in response to determining that the particular managed key is invalid, combining the candidate data records from the different volumes as separate entries.

Abstract: Various systems, mediums, and methods herein describe aspects of personal information platforms accessible with client devices over communication networks in data infrastructures. A system may determine data associated with a user. The system may determine a personal information platform (PIP) based on the data associated with the user, where the PIP is configured to identify a number of data types from the data associated with the user. The system may determine accesses for one or more entities to the number of data types based on one or more services provided by the one or more entities to the user. The system may cause a client device to display an indication of the PIP, where the indication provides the one or more accesses of the one or more entities.

Abstract: Clustering structured log data by key schema includes receiving a raw log message. At least a portion of the raw log message comprises structured machine data including a set of key-value pairs. It further includes receiving a map of keys to values. It further includes using the received map of keys to values to determine a key schema of the structured machine data. The key schema is associated with a corresponding cluster. It further includes associating the raw log message with the cluster corresponding to the determined key schema.

Abstract: Parameter-based deployment control for database objects is provided, in which processes for deploying database artifacts into a database as database objects are implemented. Many different techniques may be used in executing such deployment processes, including whether and how to combine various deployment-related jobs, identify/record/assess/correct potential errors, govern or instruct artifact conversion operations, or generally manage available resources with respect to executing the deployment(s) efficiently. By providing for selectable parameter values that are executed in an efficient, e.g., hierarchical, manner, deployment procedures may be implemented in a highly efficient and customizable manner.

Abstract: There is disclosed in one example a network switching apparatus, including: a plurality ingress port; a plurality of egress ports; a ternary content addressable memory (TCAM) comprising a plurality of chunks, wherein the chunks can be atomically enabled or disabled; a switching circuit to switch traffic from the ingress port to a selected egress port according to an access control list (ACL) of the TCAM; and one or more non-transitory mediums having stored thereon instructions to atomically add or update two or more target rules, including: add the two or more target rules to one or more target-rule chunks; and atomically enable the target-rule chunks.

Abstract: A system and method for global data de-duplication in a cloud storage environment utilizing a plurality of data centers is provided. Each cloud storage gateway appliance divides a data stream into a plurality of data objects and generates a content-based hash value as a key for each data object. An IMMUTABLE PUT operation is utilized to store the data object at the associated key within the cloud.

Abstract: A system and method is disclosed for performance analysis of processes in a managed network. Processes may be represented as sets of activities, and an audit database may be configured for logging activities within the managed network. Database may include fields to identify process instances, process classes, process states, and process transitions. A server device may receive a request from a client device to view information representative of multiple process instances. The server device may select a plurality of process instances according to filter criteria applied to the data fields of the audit database records, and generate a graphical representation of interconnections between the one or more data fields of the selected plurality based on a statistical analysis of the one or more data fields of the audit database records corresponding to the selected plurality of process instances. The server may then transmit the graphical representation to the client device.

Abstract: Systems and methods for dynamic telematics messaging in accordance with embodiments of the invention are disclosed. One embodiment includes a dynamic telematics messaging system includes at least one vehicle telematics device, and a dynamic telematics messaging server system including, at least one processor, and a memory containing a messaging application, wherein the messaging application directs the at least one processor to, obtain a first message data from the at least one vehicle telematics device encoded in a first message format, transcode the first message data into a second message format, process the transcoded message data, and provide the transcoded message data.

Abstract: A method includes detecting a defective entigen group within a knowledge database. The defective entigen group includes entigens and one or more entigen relationships between at least some of the entigens. The defective entigen group represents knowledge of a topic. The method further includes obtaining corrective content for the topic based on the defective entigen group and generating a corrective entigen group based on the corrective content. The method further includes updating the defective entigen group utilizing the corrective entigen group to produce a curated entigen group.

Abstract: A method of selectively providing different types of search engine results to different searchers is provided. A browsing history for each of a plurality of unique identities is logged. A unique identity is associated with a rich segment experience responsive to the browsing history for the unique identity satisfying correlation criteria of the rich segment experience. The rich segment experience is configured to present curated segment-specific information with other search results on a search result web page. Responsive to receiving a search query from the unique identity previously associated with the rich segment experience, the rich segment experience is presented with other search results on the search result web page. Responsive to receiving the search query from a different unique identity not previously associated with the rich segment experience, other search results are presented without the rich segment experience on the search result web page.

Abstract: One or more mappings each define a correspondence between one or more input attributes of an input entity and one or more output attributes of an output entity, where the input entity includes one or more key attributes identified as part of a unique key, and the output entity includes one or more key attributes identified as part of a unique key. Generating instances of the output entity includes: determining one or more mapped input attributes of the input entity that correspond to each of the key attributes of the output entity, based on the mappings; and comparing the mapped input attributes with the key attributes of the input entity to determine whether the mapped input attributes include: (1) all of the key attributes of the input entity, or (2) fewer than all of the key attributes of the input entity.

Abstract: The technology disclosed describes a system. The system comprises data flow logic configured to inject an incoming request directed to a cloud application in a processing path of a particular network security system. The particular network security system is configured to use an application-specific parser to inspect certain fields and variables in the incoming request for metadata, determine that the metadata is missing, and use an application-specific template to construct a synthetic request. The data flow logic is further configured to inject the synthetic request and its corresponding response in the processing path of the particular network security system. The particular network security system is further configured to use the application-specific parser to extract the missing metadata from the corresponding response.

Abstract: The present invention relates to communications methods and apparatus dynamically detecting and/or mitigating anomalies in communications systems/networks. An exemplary method embodiment includes the steps of: (i) storing a set of N key performance indicator (KPI) models; (ii) associating each of a plurality of recurring time slots of a recurring time frame on a per group member basis with one of the N KPI models wherein the associating including associating a first group member of a first group and a first recurring time slot with a first one of the N models, the first one of the N models being a first model; (iii) receiving event data for the first group member for a first time period; and (iv) determining based on the first model if a key performance indicator value for the first group member and first time period is anomalous.

Abstract: The present disclosure is directed to a modified GraphQL server that enables application developers to define custom GraphQL schema fragments. For example, a developer may provide the GraphQL server with a GraphQL standard definition language (SDL) file having annotations that indicate that a customized data-handling script, such as a custom data-fetching script or a custom type resolver script, be called for handling certain data types or fields. These customized data-handling scripts are resolved and called at runtime based on the annotations in the GraphQL SDL file. By enabling developers to define schema fragments in the SDL language and implement data-handling scripts in a suitable scripting language, schema portability can be maintained across client instances, as well as instance release versions.

Abstract: Systems and devices implement scalable implementations of multi-dimensional aggregations with input blending in distributed query processing systems. Multi-dimensional aggregations for identifiers/values designated fields in datasets are performed based on keys. Datasets are sorted by identifier/value and divided into first partitions. Each row of data with a specific sorted-by-identifier/value is only present in one of the first partitions. Keys are generated from each combination of two or more dataset fields, and a blended table of data is generated over the partitions based on each different key combination. Designated data field characteristics are determined for the blended table based on the different key combinations. The characteristics are divided into second partitions based on the keys, where each key is present in only one of the second partitions. A final designated data field characteristic is determined for each row of data in each of the second partitions as the multi-dimensional aggregation.

Abstract: A data configuration method includes receiving a control packet sent by a control device, where the control packet is generated by the control device based on a yet another next generation (YANG) model and includes a configuration fragment, parsing the control packet to obtain the configuration fragment, and parsing the configuration fragment based on the general module to obtain a configuration command line, and executing the configuration command line.

Abstract: Methods and systems described herein may include processing a change data capture stream in parallel and optimizing the write operations contained in the change data capture stream such that the write operations may be written to a change table in parallel. Processing the change data capture stream may include decoding the transaction data contained in the change data capture stream in parallel. After the transaction data in the change data capture stream has been decoded, the transaction data may be analyzed to identify write operations that write to the same row. Write operations that write to the same row may be merged into a single write operation. The merging of write operations may be performed until each write operation writes to a different row. The write operations may then be written to the change table in parallel.

Abstract: Systems and methods are provided for managing database updates in an environment in which data parity is to be maintained between multiple databases. Notifications regarding database events, such as data update operations that occur in a particular database, may be generated so that other databases and systems can perform corresponding data update operations. The notifications may be generated, consumed, and acted upon asynchronously with respect to each other. Such asynchronous propagation of database events provides improved performance and increased reliability over synchronous propagation.

Abstract: Disclosed herein are systems and methods of executing scanning software, such an executable software program or script (e.g., PowerShell script), by a computing device of an enterprise, such as a security server, may instruct the computing device to search all or a subset of computing devices in an enterprise network. The scanning software may identify PowerShell scripts containing particular malware attributes, according to a malicious-code dataset. The computing system executing the scanning software may scan through the identified PowerShell scripts to identify particular strings, values, or code-portions, and take a remedial action according to the scanning software programming.