Abstract: There is disclosed in one example a computing apparatus, including: a processor and a memory; an operating system; an application framework including instructions to search a target directory for one or more shared libraries and to attempt to load the one or more shared libraries if found; and an application including: a library file including a primary feature module to provide a primary feature of the application, the primary feature module structured to operate within the application framework, wherein the library file is not independently executable by the operating system; and an unmanaged executable binary to host the library file, wherein the unmanaged executable binary is not managed by the application framework, and includes hooks to intercept the application framework's attempt to load the one or more shared libraries, and to provide security services to the one or more shared libraries before permitting the application framework to attempt to load the one or more shared libraries.

Abstract: There is disclosed in one example a computing apparatus, including: a processor and a memory; an operating system; an application framework including instructions to search a target directory for one or more shared libraries and to attempt to load the one or more shared libraries if found; and an application including: a library file including a primary feature module to provide a primary feature of the application, the primary feature module structured to operate within the application framework, wherein the library file is not independently executable by the operating system; and an unmanaged executable binary to host the library file, wherein the unmanaged executable binary is not managed by the application framework, and includes hooks to intercept the application framework's attempt to load the one or more shared libraries, and to provide security services to the one or more shared libraries before permitting the application framework to attempt to load the one or more shared libraries.

Abstract: Systems and methods for predicting computing system issues include: receiving a set of incident management tickets for a set of computing system issues and a set of computer log files for multiple modules of the computing system; arranging the set of tickets into chronologically ordered groups associated with particular computing system issues; pre-processing the set of computer log files to remove specified information, append to each log entry an indicator of the module of the log file, and merge the log entries; determining for each group a set of patterns for the group's associated computing system issue before the group's associated computing system issue arises; calculating for each pattern in each group a similarity score; selecting a subset of patterns whose similarity scores exceed a specified threshold; and generating a computing model associating the subset of patterns in each group with the group's associated computing system issue.

Abstract: In one aspect, a computerized method of workload mobility across divergent cloud-computing platforms includes the step of with an agentless process, utilizing at least one computer process to discover an entity. The method discovers a configuration of the entity. The method persistently stores the configuration of the entity in a configuration management database (CMDB). The method migrates, with at least one replication processes, the entity from a user-side platform to a cloud-computing platform. The method transforms a workload data of the entity to a container workload data to enable implementation of the workload data in the cloud-computing platform.

Abstract: A door access control system associates a unique passive identifier with each one of a plurality of doors for which controlled access is desired. Each of the identifiers can be attached to a location adjacent to each respective door. A smart phone with a predetermined scanning application can scan or read a respective identifier of a door for which access is desired. A representation of the door identifier along with an identifier of the smart phone can be transmitted to an access control unit. A data base of the access control unit can be interrogated to determine if that smart phone identifier is authorized to open the designated door. If authorized, then an access command can be transmitted to a local access control module that can release a locking mechanism for the respective door.

Abstract: In one aspect, a computerized method of workload mobility across divergent cloud- computing platforms includes the step of with an agentless process, utilizing at least one computer process to discover an entity. The method discovers a configuration of the entity. The method persistently stores the configuration of the entity in a configuration management database (CMDB). The method migrates, with at least one replication processes, the entity from a user-side platform to a cloud-computing platform. The method transforms a workload data of the entity to a container workload data to enable implementation of the workload data in the cloud-computing platform.

Abstract: A door access control system associates a unique passive identifier with each one of a plurality of doors for which controlled access is desired. Each of the identifiers can be attached to a location adjacent to each respective door. A smartphone with a predetermined scanning app can scan, or read a respective identifier of a door for which access is desired. A representation of the door identifier along with an identifier of the smart phone can be transmitter to an access control unit. A data base of the access control unit can be interrogated to determine if that smartphone identifier is authorized to open the designated door. If authorized, an access command can be transmitted to a local access control module which can release a locking mechanism for the respective door.