Abstract: Embodiments of the present invention include a method for running a virtual manager scheduler for scheduling activities for virtual machines. The method may include: defining a schedule for one or more activities to be executed for a virtual machine; applying an adjustment to the schedule in accordance with feedback information received via a virtual machine client aggregating the feedback information from a plurality of virtual machine clients, each being related to a virtual machine, per scheduled activity type; and determining of a group adjustment for a determined group of the virtual machine clients based on a function of the feedback information of the plurality of virtual machine clients.

Abstract: An exclusion database is maintained for software discovery scans where directories within a file system are excluded according to discovered software artifacts, scan time parameters, and pre-defined exclusion definitions associated with software applications. A file system tree having directory-specific attributes for causing software discovery scans to limit scanning within the file system.

Abstract: Identification of unmatched registry entries may be provided by scanning a file system, discovering software, collecting first attribute values of the discovered software, and receiving a plurality of filtering rules including a method and an attribute. The attribute may comprise a software-specific condition. The method may further comprise collecting native registry entries comprising second attribute values indicated by said attributes of at least one of said rule, and comparing said first attribute values of said discovered software with related ones of said second attribute values of said collected native registry entries. Then, the native registry entries may be grouped into two groups. The first group represents matched registry entries and the second group represents unmatched registry entries. The unmatched registry entries may be identified as unequivocal entries for further software discovery.

Abstract: In an approach for providing adaptive software inventory scan frequencies and schedules, a processor receives information from an initial scan of a set of software inventory scans, wherein the information includes at least one of: running processes, file system entries, registry entries, and software catalog evaluations. A processor analyzes the information from the initial scan. A processor predicts an outcome for future software inventory scans based on the analysis of the information, wherein the prediction includes a scanning frequency and a scanning schedule.

Abstract: An exclusion database is maintained for software discovery scans where directories within a file system are excluded according to discovered software artifacts, scan time parameters, and pre-defined exclusion definitions associated with software applications. A file system tree having directory-specific attributes for causing software discovery scans to limit scanning within the file system.

Abstract: One or more processors determine that one or more memory locations in a client computing device contain one or more software artifacts that provide a match to a first software signature. One or more processors send instructions not to scan the one or more memory locations against a second software signature.

Abstract: In an approach for providing adaptive software inventory scan frequencies and schedules, a processor receives information from an initial scan of a set of software inventory scans, wherein the information includes at least one of: running processes, file system entries, registry entries, and software catalog evaluations. A processor analyzes the information from the initial scan. A processor predicts an outcome for future software inventory scans based on the analysis of the information, wherein the prediction includes a scanning frequency and a scanning schedule.

Abstract: One or more processors scan a first software container template for one or more identities of software present on a first software container associated with the first software container template. One or more processors generate a map of the one or more identities of software present on the first software container. The one or more identities of software present on the first software container are mapped with one or both of: an identifier of the first software container template and an identifier of the first software container associated with the first software container template.

Abstract: A method for software discovery may be provided. The method may comprise scanning an shared resource mounted to an endpoint device for identifying installed software on the shared resource for the endpoint device, monitoring a read access to such identified installed software by the endpoint device using a monitoring agent, and marking the installed software as used on the shared resource by the endpoint device using a software asset management unit. Additionally, the method may comprise recording a last time use of the installed software by the endpoint device, and marking the installed software as uninstalled on the endpoint device after a predetermined time after the last time use.

Abstract: A method and a related system for identifying unmatched registry entries may be provided. The method may comprise scanning a file system and discovering software based on a file signature, collecting first attributes of the discovered software, collecting native registry entries, and comparing the first attributes against second attributes of the collected registry entries based on a filtering rule. Thereby, the registry entries may be grouped into two groups. One group may represent matched registry entries and the other group may represent unmatched registry entries. The unmatched registry entries may be identified as unequivocal entries for further software discovery.

Abstract: Identification of unmatched registry entries may be provided by scanning a file system, discovering software, collecting first attribute values of the discovered software, and receiving a plurality of filtering rules including a method and an attribute. The attribute may comprise a software-specific condition. The method may further comprise collecting native registry entries comprising second attribute values indicated by said attributes of at least one of said rule, and comparing said first attribute values of said discovered software with related ones of said second attribute values of said collected native registry entries. Then, the native registry entries may be grouped into two groups. The first group represents matched registry entries and the second group represents unmatched registry entries. The unmatched registry entries may be identified as unequivocal entries for further software discovery.

Abstract: A method for collecting monitoring data on a set of monitored computers. The method comprises providing definitions for collection methods for a set of monitoring data, wherein the monitoring data is collected from agents running at monitoring computers, wherein each item of monitoring data has at least one respective collection method. The method further comprises determining a subset of monitoring data to be updated. The method further comprises identifying collection methods corresponding to the subset of monitoring data and triggering the agents running at the monitoring computers to collect monitoring data using the identified collection methods.

Abstract: A method for collecting monitoring data on a set of monitored computers. The method comprises providing definitions for collection methods for a set of monitoring data, wherein the monitoring data is collected from agents running at monitoring computers, wherein each item of monitoring data has at least one respective collection method. The method further comprises determining a subset of monitoring data to be updated. The method further comprises identifying collection methods corresponding to the subset of monitoring data and triggering the agents running at the monitoring computers to collect monitoring data using the identified collection methods.

Abstract: Installation information of a software component is received. The software component is software. The installation information includes an installation state for the software component, an identifier for the software component, a vendor of the software component, and a calendar date of the installation. The installation information is stored in a pseudo-permanent database. The record of the installation information in the pseudo-permanent database will survive the uninstallation of the software component. An update to the installation information is received in response to the installation state of the software component changing. The update includes modified installation information and a calendar date of when the installation information changed. The updated installation information is stored in the pseudo-permanent database.

Abstract: Identification of unmatched registry entries may be provided, by scanning a file system, discovering software, collecting first attribute values of the discovered software, receiving a plurality of filtering rules including a method and an attribute. The attribute may comprise a software-specific condition. The method may further comprise collecting native registry entries comprising second attribute values indicated by said attributes of at least one of said rule, and comparing said first attribute values of said discovered software with related ones of said second attribute values of said collected native registry entries. Then, the native registry entries may be grouped into two groups. The first group represents matched registry entries and the second group represents unmatched registry entries. The unmatched registry entries may be identified as unequivocal entries for further software discovery.

Abstract: A method for collecting monitoring data on a set of monitored computers. The method comprises providing definitions for collection methods for a set of monitoring data, wherein the monitoring data is collected from agents running at monitoring computers, wherein each item of monitoring data has at least one respective collection method. The method further comprises determining a subset of monitoring data to be updated. The method further comprises identifying collection methods corresponding to the subset of monitoring data and triggering the agents running at the monitoring computers to collect monitoring data using the identified collection methods.

Abstract: One or more processors scan a first software container template for one or more identities of software present on a first software container associated with the first software container template. One or more processors generate a map of the one or more identities of software present on the first software container. The one or more identities of software present on the first software container are mapped with one or both of: an identifier of the first software container template and an identifier of the first software container associated with the first software container template.

Abstract: One or more processors scan a first software container template for one or more identities of software present on a first software container associated with the first software container template. One or more processors generate a map of the one or more identities of software present on the first software container. The one or more identities of software present on the first software container are mapped with one or both of: an identifier of the first software container template and an identifier of the first software container associated with the first software container template.

Abstract: A first computing entity receives a respective set of software discovery rules from each of a plurality of other computing entities. Based on each of the sets of software discovery rules, a set of software discovery rules associated with the first computing entity is modified. The modified set of software discovery rules is communicated to each of the plurality of other computing entities.

Abstract: A method for collecting monitoring data on a set of monitored computers. The method comprises providing definitions for collection methods for a set of monitoring data, wherein the monitoring data is collected from agents running at monitoring computers, wherein each item of monitoring data has at least one respective collection method. The method further comprises determining a subset of monitoring data to be updated. The method further comprises identifying collection methods corresponding to the subset of monitoring data and triggering the agents running at the monitoring computers to collect monitoring data using the identified collection methods.