Abstract: A method and associated systems for optimizing a computing platform. A processor joins sets of configurable parameters into groups that each identifies a configuration of the computing environment or of a component or subsystem of the computing environment. The processor generates a set of variations of each group, where each variation identifies a candidate configuration of the component, subsystem, or platform, and where each candidate configuration identifies a distinct set of values of the group of parameters associated with that component, subsystem, or platform. Each configuration of this first generation of configurations undergoes a massively parallel iterative procedure that generates a next generation of configurations by performing operations upon the first generation that are similar to those of a natural-selection process.

Abstract: Technical solutions are described for monitoring health of a user by a healthcare system. An example computer-implemented method includes accessing a current image of the user. The computer-implemented method also includes determining a healthcare routine for the user. The computer-implemented method also includes generating a modified image of the user, where the modified image includes a predicted effect of the healthcare routine. The computer-implemented method also includes displaying, for viewing by the user, the modified image, and information about the healthcare routine.

Abstract: Technical solutions are described for monitoring health of a user by a healthcare system. An example computer-implemented method includes accessing a current image of the user. The computer-implemented method also includes determining a healthcare routine for the user. The computer-implemented method also includes generating a modified image of the user, where the modified image includes a predicted effect of the healthcare routine. The computer-implemented method also includes displaying, for viewing by the user, the modified image, and information about the healthcare routine.

Abstract: A garment being worn by a user is optimized by altering a feature of a garment including texture, shape and size, while the garment is still being worn by the user.

Abstract: Programmable devices selectively allocate file content portions between cloud and secured hardware device storage mediums. A confidential portion of a first file is stored as a second file on a memory device, and a remainder portion of content of the first file that is different from the confidential portion and is not designated as confidential is stored on a cloud storage system. A uniform resource indicator is generated that includes a routing identifier to the memory device, and a section routing identifier to a location of the stored second file on the memory device. A revised version of the first file is stored to the cloud storage system wherein the confidential portion of the first file is replaced with the generated uniform resource indicator within the revised version of the first file at a location of the confidential portion within the content of the first file.

Abstract: A user participating in an e-commerce session can be authenticated based on user-touchscreen interaction analysis. That is, a user requested action can be determined that requires additional authentication. Such authentication can further include, requesting analysis of user-touchscreen interaction for the e-commerce session and receiving a pattern matching score for the session from a computer. The pattern matching score can provide an indication of a comparison between the user's interaction with a touchscreen during the session and a pre-established user-touchscreen interaction profile for the user. A computer can perform a verification action to verify an identity of the user based on the received pattern matching score. Responsive to a successful verification of the identity, the computer can perform the requested action.

Abstract: A method to enable software architects to optimally select resources to enhance reused or previously developed components of a UML model. During a UML design phase, if a component is detected to be an enhancement of a previously developed component, the method determines if the resource who developed the component previously is available for assignment. If available, the resource is selected as the optimal candidate. If unavailable, the system and methods look at several factors to determine if reassignment of resource is possible. These factors implement: a Keyword/Requirement Assignment; a Component History Detection or a Component Update History detection where a keyword triggers a search for developers who worked on a previous version; a Repository History where absence of a keyword triggers a search in component repositories for a component development history, and associated developers. After component developers are identified, their current availability is determined.

Abstract: For distributed processing using sampled clusters of location-based Internet of Things (IoT) devices, at a central device, a data source to be used for processing a workload is determined. A set is selected of devices operating within a threshold distance from the data source at a first time. A first subset including a first sample number of devices is selected from the set. A ratio is determined of a first amount of a computing resource needed to process the workload and a second amount of the computing resource available in the first subset to process the workload. From the set, to form a cluster, a second subset is selected of a size at least equal to a multiple of the ratio and the first sample number. Each device in the second subset satisfies a clustering condition. A lightweight application is configured at the first device to process the workload.

Abstract: An invention that pre-fetches virtual content in a virtual universe is provided. In one embodiment, there is a pre-fetching tool, including a ranking component configured to rank each of a plurality of members belonging to a social network of an avatar according to predefined ranking criteria. The pre-fetching tool further includes a pre-fetching component configured to pre-fetch a virtual content within a proximity of each of the plurality of members belonging to the social network of the avatar based on the ranking.

Abstract: An invention for preventing propagation of malicious content within a virtual universe is provided. In one embodiment, a malicious content propagation prevention tool provides this capability. The malicious content propagation prevention tool includes a scanning component configured to scan a plurality of inventory items within a virtual universe. An identification component is configured to identify a set of malicious inventory from the plurality of inventory items. The malicious content propagation prevention tool further comprises an assurance component configured to prevent propagation of malicious content within the virtual universe by performing at least one of the following: isolating the set of malicious inventory items, and modifying a malicious behavior caused by the set of malicious inventory items.

Abstract: Approaches for monitoring performance in a networked environment are provided. An approach includes monitoring, using a first metric, performance of a first host running a virtual machine. The approach also includes determining, using a computer device, a second metric based on the virtual machine being migrated from the first host to a second host, wherein the second metric is a function of: (i) the first metric and (ii) a comparison of the first host and the second host. The approach further includes monitoring, using the second metric, performance of the second host running the virtual machine.

Abstract: A system for indicating a speaker is likely to be misunderstood by at least one listener from a group of listeners. The system includes a computer interface configured to receive lexicon information from the group of listeners. The lexicon information includes words encountered by each of the listeners from the group of listeners and a word count associated with each of the words. A computer with at least one central processing unit is configured to determine when the word count corresponding to a spoken word from the speaker is below a threshold count. A transducer coupled to the computer is configured to signal the speaker that the spoken word has likely been misunderstood by the listener when the word count corresponding to the spoken word is below the threshold count.

Abstract: Approaches for monitoring performance in a networked environment are provided. An approach includes monitoring, using a first metric, performance of a first host running a virtual machine. The approach also includes determining, using a computer device, a second metric based on the virtual machine being migrated from the first host to a second host, wherein the second metric is a function of: (i) the first metric and (ii) a comparison of the first host and the second host. The approach further includes monitoring, using the second metric, performance of the second host running the virtual machine.

Abstract: An invention for automatically reducing a load on a server functioning with a virtual universe is provided. In one embodiment, there is an alternative representation tool, including a detection component configured to detect a load on a server, and a determination component configured to determine whether the load on the server exceeds a predefined threshold. The alternative representation tool further comprises a rendering component configured to provide an alternative representation of a virtual content renderable in the virtual universe to reduce the load on the server in the case that the load on the server exceeds the predefined threshold.

Abstract: A server receives a sound file corresponding to a sound corresponding to a media file. The server compares the sound file to a library of media file sound recordings to identify a media file and a matching position in the media file of a final sound in the sound file. The server determines, from a data structure of media abbreviations, a media abbreviation that corresponds to a final sound data present in the sound file. The server transmits the media abbreviation to the addressable device.

Abstract: A method and associated systems for optimizing a computing platform. A processor joins sets of configurable parameters into groups that each identifies a configuration of the computing environment or of a component or subsystem of the computing environment. The processor generates a set of variations of each group, where each variation identifies a candidate configuration of the component, subsystem, or platform, and where each candidate configuration identifies a distinct set of values of the group of parameters associated with that component, subsystem, or platform. Each configuration of this first generation of configurations undergoes a massively parallel iterative procedure that generates a next generation of configurations by performing operations upon the first generation that are similar to those of a natural-selection process.

Abstract: A message delivery system includes a plurality of smart devices associated with a person. Each smart device includes the person's contact information and a wireless transceiver for communicating with each of the other smart devices and communicating messages directed to the person. A message handling module having stored codes executable by a processor is embedded within one of the smart devices to receive current device status of each of the smart devices and to determine a chosen smart device to receive a current message directed to the person based on criteria including the current device status.

Abstract: For distributed processing using drift-based dynamic clustering of Internet of Things (IoT) devices, at a central device, a data source to be used for processing a workload is determined. A set is selected of devices operating within a threshold distance from the data source at a first time. A first subset of the set of devices is selected to form a cluster of devices. Each device in the first subset satisfies a clustering condition. A first device in the first subset is instructed to configure an application at the first device to participate in the cluster and process the workload. From a performance check on the first device, a change is discovered in a performance metric. In response to the change resulting from an increased demand for a computing resource at the first device, the first device is replaced with a second device from the first subset.

Abstract: For distributed processing using sampled clusters of location-based Internet of Things (IoT) devices, at a central device, a data source to be used for processing a workload is determined. A set is selected of devices operating within a threshold distance from the data source at a first time. A first subset including a first sample number of devices is selected from the set. A ratio is determined of a first amount of a computing resource needed to process the workload and a second amount of the computing resource available in the first subset to process the workload. From the set, to form a cluster, a second subset is selected of a size at least equal to a multiple of the ratio and the first sample number. Each device in the second subset satisfies a clustering condition. A lightweight application is configured at the first device to process the workload.

Abstract: For distributed processing using clustering of interdependent Internet of Things (IoT) devices, at a central device, a data source to be used for processing a workload is determined. A set is selected of devices operating within a threshold distance from the data source at a first time. A first subset of the set of devices is selected. Each device in the first subset satisfies a clustering condition. A first device in the subset is instructed to configure a lightweight application to participate in the cluster and process the workload. The processing of the workload is halted on a second device, where the first device has a processing dependency on the second device in processing the workload. A preserved current state of processing the workload is transferred from the first device to a third device. The processing of the workload is continued using the second device and the third device.