Abstract: A method comprises receiving a first user communication, accessing a directory entry associated with the user, accessing, by a processor, a database stored in a memory that includes content designated as private that is associated with the user in the directory, determining with the processor whether the first user communication includes content designated as private that is associated with the user, generating a second user communication by removing the content designated as private that is associated with the user from the first user communication, and sending the second user communication to an electronic personal assistant.

Abstract: A method comprises receiving a first user communication, accessing a directory entry associated with the user, accessing, by a processor, a database stored in a memory that includes content designated as private that is associated with the user in the directory, determining with the processor whether the first user communication includes content designated as private that is associated with the user, generating a second user communication by removing the content designated as private that is associated with the user from the first user communication, and sending the second user communication to an electronic personal assistant.

Abstract: A computer program product includes a tangible storage medium storing instructions for execution by a processing circuit for performing a method. The method includes receiving a test program configured to including a plurality of test data sets, and analyzing the plurality of test data sets to identify one or more predictable test data sets and one or more dynamic test data sets, the one or more predictable test data sets expected to produce a predictable test result, the one or more dynamic test data sets not expected to produce a predictable test result. The method also includes determining a cost structure associated with executing the test program using a computing resource, setting a test schedule based on identification of the one or more predictable test data sets and the one or more dynamic test data sets, and executing the test program based on the test schedule.

Abstract: Embodiments of the present invention provide methods and systems for numeric keypad encryption using an augmented reality device. The method may include establishing a secure connection to an augmented reality device. A random keypad layout is generated and sent to the augmented reality device. The random keypad layout is displayed in the augmented reality view over a real-world numeric keypad.

Abstract: A method for determining allocation of virtual machines includes: at least one of generating and accessing a list of virtual machines (VMs) configured to run on a network, each VM having at least one network resource requirement, each VM in the list associated with a size of the at least one network resource requirement; selecting at least one equivalence set of VMs having a resource requirement size that is at least substantially identical; generating a plurality of meta-combinations from the at least one equivalence set of VMs, each meta-combination representing all possible combinations of a selected number of individual VMs from the equivalence set; determining a maximum resource capacity of a node in the network; and providing a meta-combination assignment to the node, the meta-combination assignment including a group of meta-combinations having a cumulative resource requirement size value that is less than or equal to the maximum resource capacity.

Abstract: A method for determining allocation of virtual machines includes: at least one of generating and accessing a list of virtual machines (VMs) configured to run on a network, each VM having at least one network resource requirement, each VM in the list associated with a size of the at least one network resource requirement; selecting at least one equivalence set of VMs having a resource requirement size that is at least substantially identical; generating a plurality of meta-combinations from the at least one equivalence set of VMs, each meta-combination representing all possible combinations of a selected number of individual VMs from the equivalence set; determining a maximum resource capacity of a node in the network; and providing a meta-combination assignment to the node, the meta-combination assignment including a group of meta-combinations having a cumulative resource requirement size value that is less than or equal to the maximum resource capacity.