Patent application number | Description | Published |
20130055202 | IDENTIFYING COMPONENTS OF A BUNDLED SOFTWARE PRODUCT - A method for identifying software components of a software product comprises establishing, by a computer, data representative of at least one of an attribute and an action of at least one of a first software component in a computer system and a second software component in the computer system, establishing a first confidence value indicative of a likelihood that the first software component belongs to the software product, establishing, based on the data, a second confidence value indicative of a likelihood that the first software component and the second software component are software components of a common software product, and establishing, based on the first and second confidence values, a third confidence value indicative of a likelihood that the second software component belongs to the software product. | 02-28-2013 |
20130159972 | IDENTIFYING COMPONENTS OF A BUNDLED SOFTWARE PRODUCT - A method for identifying software components of a software product comprises establishing, by a computer, data representative of at least one of an attribute and an action of at least one of a first software component in a computer system and a second software component in the computer system, establishing a first confidence value indicative of a likelihood that the first software component belongs to the software product, establishing, based on the data, a second confidence value indicative of a likelihood that the first software component and the second software component are software components of a common software product, and establishing, based on the first and second confidence values, a third confidence value indicative of a likelihood that the second software component belongs to the software product. | 06-20-2013 |
20130179396 | Defining and Detecting Bundle Information in Databases - An approach is provided to registering a database at a database manager in a manner that defines software bundles. Registering the database involves receiving database metadata that corresponds to the database which is stored in a metadata data store that is maintained by the database manager. A software product associated with the registered database is processed by receiving software product metadata corresponding to the software product and this software product metadata is also stored in the metadata data store maintained by the database manager. | 07-11-2013 |
20130179402 | Defining and Detecting Bundle Information in Databases - An approach is provided to registering a database at a database manager in a manner that defines software bundles. Registering the database involves receiving database metadata that corresponds to the database which is stored in a metadata data store that is maintained by the database manager. A software product associated with the registered database is processed by receiving software product metadata corresponding to the software product and this software product metadata is also stored in the metadata data store maintained by the database manager. | 07-11-2013 |
20140372397 | REDUCING LOCK OCCURRENCES IN SERVER/DATABASE SYSTEMS - Limiting the number of concurrent requests in a database system. Arranging requests to be handled by the database system in at least one queue. Defining a maximum value (SS) of concurrent requests corresponding to the at least one queue. Monitoring at least one queue utilization parameter corresponding to the at least one queue and calculating a performance value based on the at least one queue utilization parameter. Adapting the maximum value (SS) of concurrent requests of the at least one queue dynamically based on the performance value (PF) in order to improve system performance. Limiting the number of concurrent requests of the at least one queue dynamically based on the dynamically adapted maximum value (SS). | 12-18-2014 |
20150089473 | SOFTWARE DISCOVERY BY AN INSTALLER CONTROLLER - A method for performing software discovery by an installer controller is provided and may include detecting, at a computer, an attempt by a software installer to execute on the computer, wherein during execution, the software installer modifies software on the computer. A Software Asset Management (SAM) computer server may be queried for an approval status corresponding to a software package provided by the software installer. The installer controller executes the software installer upon receiving on the returned approval status; aggregates a result from the execution of the software installer based on the software installer modifying the software on the computer; and updates a discovery software signature on the computer when the returned approval status is marked as known. | 03-26-2015 |
20150363687 | MANAGING SOFTWARE BUNDLING USING AN ARTIFICIAL NEURAL NETWORK - An artificial neural network is used to manage software bundling. During a training phase, the artificial neural network is trained using previously bundled software components having known values for identification attributes and known software bundle asociations. Once trained, the artifical neural network can be used to identify the proper software bundles for newly discovered sofware components. In this process, a newly discovered software component having known values for the identification attributes is identified. An input vector is derived from the known values. The input vector is loaded into input neurons of the artificial neural network. A yielded output vector is then obtained from an output neuron of the artificial neural network. Based on the composition of the output vector, the software bundle associated with this newly discovered software component is determined. | 12-17-2015 |
20150363691 | MANAGING SOFTWARE BUNDLING USING AN ARTIFICIAL NEURAL NETWORK - An artificial neural network is used to manage software bundling. During a training phase, the artificial neural network is trained using previously bundled software components having known values for identification attributes and known software bundle asociations. Once trained, the artifical neural network can be used to identify the proper software bundles for newly discovered sofware components. In this process, a newly discovered software component having known values for the identification attributes is identified. An input vector is derived from the known values. The input vector is loaded into input neurons of the artificial neural network. A yielded output vector is then obtained from an output neuron of the artificial neural network. Based on the composition of the output vector, the software bundle associated with this newly discovered software component is determined. | 12-17-2015 |