Abstract: A method and system are provided. The system includes a network configurator for configuring a network as a backplane of the system to optimize throughput rate and minimize latency across a plurality of subsystems that are cloud-based and that form the system. The system further includes a composable system building block configurator for refactoring the plurality of subsystems to use the network to communicate as a single system. The system also includes a system resource multidimensional model generator for generating a multidimensional optimization model that models the composable system building blocks as resources having adjustable parameters in a multidimensional parameter space.

Abstract: In one example, a method for evaluating a system includes constructing a macro-model of the system comprising a multiple-order polynomial equation that defines a boundary between at least one failure region and a non-failure region for a performance indicator with respect to at least one variable of the system. The method further includes obtaining importance samples for the at least one variable that are biased to the at least one failure region, and calculating indicator values for the performance indicator by applying the importance samples to the macro-model.

Abstract: A method and system are provided. The system includes a network configurator for configuring a network as a backplane of the system to optimize throughput rate and minimize latency across a plurality of subsystems that are cloud-based and that form the system. The system further includes a composable system building block configurator for refactoring the plurality of subsystems to use the network to communicate as a single system. The system also includes a system resource multidimensional model generator for generating a multidimensional optimization model that models the composable system building blocks as resources having adjustable parameters in a multidimensional parameter space.

Abstract: A method and system are provided. The system includes a network configurator for configuring a network as a backplane of the system to optimize throughput rate and minimize latency across a plurality of subsystems that are cloud-based and that form the system. The plurality of subsystems includes hardware and software subsystems. The system further includes a composable system building block configurator for refactoring, based on a disaggregated system principle, the plurality of subsystems to use the network to communicate as a single system. The system also includes a system resource multidimensional model generator for generating a multidimensional optimization model that models the composable system building blocks as resources having adjustable parameters in a multidimensional parameter space.

Abstract: A method and system are provided. The system includes a network configurator for configuring a network as a backplane of the system to optimize throughput rate and minimize latency across a plurality of subsystems that are cloud-based and that form the system. The plurality of subsystems includes hardware and software subsystems. The system further includes a composable system building block configurator for refactoring, based on a disaggregated system principle, the plurality of subsystems to use the network to communicate as a single system. The system also includes a system resource multidimensional model generator for generating a multidimensional optimization model that models the composable system building blocks as resources having adjustable parameters in a multidimensional parameter space.

Abstract: A method and system are provided. The system includes a network configurator for configuring a network as a backplane of the system to optimize throughput rate and minimize latency across a plurality of subsystems that are cloud-based and that form the system. The plurality of subsystems includes hardware and software subsystems. The system further includes a composable system building block configurator for refactoring, based on a disaggregated system principle, the plurality of subsystems to use the network to communicate as a single system. The system also includes a system resource multidimensional model generator for generating a multidimensional optimization model that models the composable system building blocks as resources having adjustable parameters in a multidimensional parameter space.

Abstract: A method and system are provided. The system includes a network configurator for configuring a network as a backplane of the system to optimize throughput rate and minimize latency across a plurality of subsystems that are cloud-based and that form the system. The plurality of subsystems includes hardware and software subsystems. The system further includes a composable system building block configurator for refactoring, based on a disaggregated system principle, the plurality of subsystems to use the network to communicate as a single system. The system also includes a system resource multidimensional model generator for generating a multidimensional optimization model that models the composable system building blocks as resources having adjustable parameters in a multidimensional parameter space.

Abstract: A system and method are provided for establishing a sustainable innovation platform. The system includes an innovation services platform including a set of independent, consumable services. The system further includes an innovation community platform including a set of frameworks for forming an innovation community and supporting interaction between community data and community services. The system also includes a monitoring, data assimilation, and simulation platform for service-related monitoring, monitoring-data model assimilation and model-based, machine-executed, what-if simulation. The system additionally includes a service enhancement and service optimization platform for determining service enhancements and service optimizations based on the model-based, machine-executed, what-if simulation.

Abstract: A system and method are provided for establishing a sustainable innovation platform. The system includes an innovation services platform including a set of independent, consumable services. The system further includes an innovation community platform including a set of frameworks for forming an innovation community and supporting interaction between community data and community services. The system also includes a monitoring, data assimilation, and simulation platform for service-related monitoring, monitoring-data model assimilation and model-based, machine-executed, what-if simulation. The system additionally includes a service enhancement and service optimization platform for determining service enhancements and service optimizations based on the model-based, machine-executed, what-if simulation.

Abstract: In one example, a method for evaluating a system includes constructing a macro-model of the system comprising a multiple-order polynomial equation that defines a boundary between at least one failure region and a non-failure region for a performance indicator with respect to at least one variable of the system. The method further includes obtaining importance samples for the at least one variable that are biased to the at least one failure region, and calculating indicator values for the performance indicator by applying the importance samples to the macro-model.

Abstract: A system and method of controlling copying of documents. The method includes optically capturing a document. At least one object of the captured document is recognized. A content output is determined based on the recognized object and at least one output rule. The content output is provided based on the determination.