International Business Machines Corporation

Marcin Labenski

Tomasz Andrzej Stopa

Grzegorz Sawina

Joanna Barbara Koza

Hari Haranath Madduri

Michal S Paluch

Piotr Kania

Pawel K Gocek

Artur Zezula

An initial software scan is performed to detect a set of software deployed on an endpoint. An ongoing scan of the endpoint is performed to map a set of file directories associated with each software within the set of software. Via the ongoing scan, a usage frequency for each mapped file directory is determined. A heat map is generated for each mapped file directory, according to usage frequency, using a randomized meta-heuristic. A request is received for a software discovery scan result. The software discovery scan, based on the heat map, is performed in response to the request. The result of the software discovery scan is provided to a user.

Meta-heuristics based on heat maps for software discovery

A method retrieves and displays an alternative webpage in response to an initially-requested webpage no longer being available. A browser on a client device sends a request to a web server for an original webpage, which is associated with an original Universal Resource Locator (URL). The browser receives an error response, from the web server, which indicates that the original webpage no longer exists. A search engine on the client device searches for multiple alternative Universal Resource Locators (URLs), which are based on variations from the original URL. An alternative webpage that is associated with one of the multiple alternative URLs is then displayed on the client device.

Link corrections by cognitive analysis of web resources

A method for monitoring software usage for an application installed in a computer system. The computer system determines whether a change has occurred in a set of files stored in a set of directories for the application in a file system between inventory scans of the file system. The set of the files is associated with the application and the set of the files changes when the application is used. A usage metric for the application is adjusted by the computer system to indicate a use of the application when the change has occurred in the set of the files, increasing accuracy, by the computer system, in identifying application usage.

Application tracking system

Software asset management (SAM) for virtual environments performing the following operations: (i) collecting a set of virtual machine (VM) descriptor(s) sets, where each VM descriptor(s) set corresponds to one of the following: a VM appliance or a sealed VM image; (ii) for each VM descriptor(s) set of the set of VM descriptor(s) set(s), determining whether there is a match to an entry in a VM descriptor set/software application mapping data set; and (iii) for each VM descriptor(s) set of the set of VM descriptor(s) set(s), on condition that there is a match, determining an identity of a set of software application(s) in the VM appliance or sealed VM image corresponding to the VM descriptor(s) set based on the respectively matching entry in the VM descriptor/software mapping data set.

Maintenance of a software discovery catalog in a virtual machine  environment

In one aspect, the description relates to identifying complementary data objects, including providing a plurality of data objects, applying a clustering algorithm for grouping at least some of the data objects into two or more clusters, for each of the clusters, calculating a cluster center, calculating, for at least a first one of the cluster centers, a complementary cluster center, determining a second cluster center of a second cluster, the second cluster center being determined as the one of the cluster centers having the smallest distance in respect to the complementary cluster center, selecting at least one data object of the determined second cluster. Other features and aspects may be realized, depending upon the particular application.

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Cracow, Poland

Marcin Labenski