Abstract: A computer-implemented method for searching for a similar image in an image database includes receiving a query image, computing a value of a similarity measure of the query image, comparing the value of the similarity measure of the query image with metadata of the partitions, discarding at least one partition of the image database based on the comparison of the value of the similarity measure of the query image with the metadata, comparing the images of at least one of the remaining partitions with the query image, and selecting at least one image of the at least one partition of the remaining partitions as the similar image based on the comparison of the images of the at least one of the remaining partitions with the query image.

Abstract: A method includes providing a relational database and at least one schema describing tables of the relational database with columns of the relational database, providing an application executing read/write or delete jobs in the relational database where the application is running in a cloud environment, upgrading the application running in the cloud environment to a new version of the application. The application uses pods to perform the steps of the upgrading. The method includes replacing an old version of the application using an intermediate version of the application, where the intermediate version of the application behaves differently depending on values of definitions in a new supportive column created in the relational database, and replacing the intermediate version of the application with pods using the new version of the application.

Abstract: Utilizing an Information Analyzer to profile data in order to identify data assets that contain executable code for the purpose of ensuring the security and integrity of the profiled data. The results of the data profiling process can be used by security policies to reduce the risks of malicious code execution attacks.

Abstract: A method includes providing a relational database and at least one schema describing tables of the relational database with columns of the relational database, providing an application executing read/write or delete jobs in the relational database where the application is running in a cloud environment, upgrading the application running in the cloud environment to a new version of the application. The application uses pods to perform the steps of the upgrading. The method includes replacing an old version of the application using an intermediate version of the application, where the intermediate version of the application behaves differently depending on values of definitions in a new supportive column created in the relational database, and replacing the intermediate version of the application with pods using the new version of the application.

Abstract: A computer-implemented method, system and computer program product for creating virtualized data assets. A copy of an extract, transform, load (ETL) or an extract, load, transform (ELT) job definition is created. Furthermore, a table function is created in which the table function is configured to trigger the execution of a copy of the ETL/ELT job definition, to read the resulting data from executing the copy of the ETL/ELT job definition and to return the resulting data (data sets), such as in a queue in a federation server. After receiving a query from a user based on a virtual view in which the query includes the ETL/ELT job definition, the table function is executed which triggers execution of the copy of the ETL/ELT job definition. Data sets are then produced by executing the copied ETL/ELT job definition, which is read and returned to the user in the virtual view.

Abstract: Providing an automatic mechanism of invalidating false-positive indications of certain identified portions of source code to reduce the number of errors in a security report. Certain embodiments of the present invention utilize static security scanning as a mechanism for automatically determining which portions of the identified source code contain potential vulnerabilities, and whether these identified portions of the source code are correctly or incorrectly identified with a false-positive indication.

Abstract: Utilizing an Information Analyzer to profile data in order to identify data assets that contain executable code for the purpose of ensuring the security and integrity of the profiled data. The results of the data profiling process can be used by security policies to reduce the risks of malicious code execution attacks.

Abstract: A computer-implemented method for searching for a similar image in an image database includes receiving a query image, computing a value of a similarity measure of the query image, comparing the value of the similarity measure of the query image with metadata of the partitions, discarding at least one partition of the image database based on the comparison of the value of the similarity measure of the query image with the metadata, comparing the images of at least one of the remaining partitions with the query image, and selecting at least one image of the at least one partition of the remaining partitions as the similar image based on the comparison of the images of the at least one of the remaining partitions with the query image.

Abstract: A computer-implemented method for processing an update event for a target graph may be provided. The method comprises upon an event broker receiving a vertex update event, assigning the vertex update event to a compute node which processes update events for the vertex. Upon the event broker receiving an update event targeting a linking edge in the target graph, performing by the event broker: dividing the update event into a pair of create-if-not-exist sub-events, and an edge update sub-event, assigning the first create-if-not-exist sub-event to a first compute node, and integrating the first create-if-not-exist sub-event into a stream of update events for the first vertex. The same happens for the second vertex. The edge update sub-event is assigned to a third compute node, and integrates into the edge update sub-event stream.

Abstract: A computer-implemented method for processing an update event for a target graph may be provided. The method comprises upon an event broker receiving a vertex update event, assigning the vertex update event to a compute node which processes update events for the vertex. Upon the event broker receiving an update event targeting a linking edge in the target graph, performing by the event broker: dividing the update event into a pair of create-if-not-exist sub-events, and an edge update sub-event, assigning the first create-if-not-exist sub-event to a first compute node, and integrating the first create-if-not-exist sub-event into a stream of update events for the first vertex. The same happens for the second vertex. The edge update sub-event is assigned to a third compute node, and integrates into the edge update sub-event stream.

Abstract: A method for selecting at least one communication channel based on a plurality of communication channel characteristics is provided. The method may include receiving a plurality of communications. The method may further include separating the received plurality of communications into a plurality of units. Additionally, the method may include categorizing the plurality of units based on a number of commands associated with the plurality of units. The method may also include measuring a plurality of communication channels based on the categorized plurality of units, the number of commands, and the plurality of communication channel characteristics. The method may further include selecting the at least one communication channel associated with the measured plurality of communication channels to process at least one unit associated with the categorized plurality of units.

Abstract: A method for selecting at least one communication channel based on a plurality of communication channel characteristics is provided. The method may include receiving a plurality of communications. The method may further include separating the received plurality of communications into a plurality of units. Additionally, the method may include categorizing the plurality of units based on a number of commands associated with the plurality of units. The method may also include measuring a plurality of communication channels based on the categorized plurality of units, the number of commands, and the plurality of communication channel characteristics. The method may further include selecting the at least one communication channel associated with the measured plurality of communication channels to process at least one unit associated with the categorized plurality of units.