Abstract: Outcome-based adjustment of a software-defined environment (SDE) includes determining a business operation and a corresponding set of tasks to be performed in a software defined environment (SDE), establishing a first resource configuration to perform the corresponding set of tasks to achieve a business outcome target, determining a first resource cost for performing the corresponding set of tasks, assigning a priority level to tasks within the corresponding set of tasks, determining a set of performance indicators corresponding to a task having a first priority level, monitoring the SDE to identify a triggering event, responsive to identifying the triggering event, establishing a second resource configuration based, at least in part, on a performance level of a performance indicator in the set of performance indicators, the second resource configuration addressing the triggering event, and determining a second resource cost for performing the corresponding set of tasks according to the second resource config

Abstract: A method and system for outcome-based adjustment of a software-defined environment (SDE) that includes establishing a link between a business outcome and a first resource configuration from software defined environment, establishing a monitoring mechanism for continuously measuring a current state of the SDE, using a behavior model of the SDE to anticipate, or forecast, a triggering event, and responsive to the forecast of a triggering event, using the behavior model to determine a second resource configuration to achieve the business outcome. The link includes at least one of a utility of services for the business outcome, a cost of a set of resources consumed by the first resource configuration, and a risk of the set of resources becoming unavailable.

Abstract: There is a method and system that includes establishing a security container that describes a workload and a set of resources that corresponds to the workload in a software-defined environment, determining a set of security criteria for the security container, monitoring the workload and the set of resources for security events based, at least in part, upon the set of security criteria, and responsive to identifying a security event, adjusting one or more security mechanisms. The steps of monitoring and adjusting are operated within the software-defined environment.

Abstract: There is a method and system that includes establishing a security container that describes a workload and a set of resources that corresponds to the workload in a software-defined environment, determining a set of security criteria for the security container, monitoring the workload and the set of resources for security events based, at least in part, upon the set of security criteria, and responsive to identifying a security event, adjusting one or more security mechanisms. The steps of monitoring and adjusting are operated within the software-defined environment.

Abstract: An encoding system for encoding an event time series, the system including an inter-arrival time computing device configured to compute an inter-arrival time between a plurality of input events and computes a sequence of events, a transformation device configured to transform the inter-arrival time between the plurality of input events into discrete time symbols, and a mapping device configured to map the input events and the discrete time symbols using a dictionary to output a time gram.

Abstract: A method and system for outcome-based adjustment of a software-defined environment (SDE) that includes establishing a link between a business outcome and a first resource configuration from software defined environment, establishing a monitoring mechanism for continuously measuring a current state of the SDE, using a behavior model of the SDE to anticipate, or forecast, a triggering event, and responsive to the forecast of a triggering event, using the behavior model to determine a second resource configuration to achieve the business outcome. The link includes at least one of a utility of services for the business outcome, a cost of a set of resources consumed by the first resource configuration, and a risk of the set of resources becoming unavailable.

Abstract: There is a method and system for capability-based resource allocation in a software-defined environment that performs the following steps (not necessarily in the following order): (i) determining a set of capability characteristics for a plurality of workload resources within a software-defined environment; (ii) determining a set of workload components for a specified workload; and (iii) identifying a set of workload resources from the plurality of workload resources to allocate to the specified workload based, at least in part, on the set of capability characteristics corresponding to each workload within the set of workload resources. A workload component of the set of workload components has a unique set of workload characteristics.

Abstract: There is a method and system that includes establishing a security container that describes a workload and a set of resources that corresponds to the workload in a software-defined environment, determining a set of security criteria for the security container, monitoring the workload and the set of resources for security events based, at least in part, upon the set of security criteria, and responsive to identifying a security event, adjusting one or more security mechanisms. The steps of monitoring and adjusting are operated within the software-defined environment.

Abstract: A method of analyzing physiological data streams. According to the method, physiological data is received into a computerized machine. The physiological data comprises numerical data and medical symptoms of a patient. Features are extracted from the physiological data based on development of the physiological data over a period of time. The features are converted into a textual representation using natural language generation. Input terms for an information retrieval system operating on the computerized machine are automatically generated based on the features. The input terms are input to the information retrieval system. A corpus of data is automatically searched to retrieve results to the input terms using the information retrieval system.

Abstract: A method of enabling compiler assisted parallelization of one or more stream processing operators in a stream processing application, which consists of a data flow graph with operators as vertices connected by streams. The method includes specifying a parallelized version of one or more of the operators, with a parameterized degree of parallelism, in the stream application, evaluating whether or not to use the parallelized operator, deciding the degree of parallelism of the parallelized operator, if there is a need for a parallelized operator.

Abstract: The present invention describes a method and system for optimizing a test flow within each ATE (Automated Test Equipment) station. The test flow includes a plurality of test blocks. A test block includes a plurality of individual tests. A computing system schedule the test flow based one or more of: a test failure model, test block duration and a yield model. The failure model determines an order or sequence of the test blocks. There are at least two failure models: independent failure model and dependant failure model. The yield model describes whether a semiconductor chip is defective or not. Upon completing the scheduling, the ATE station conducts tests according to the scheduled test flow. The present invention can also be applied to software testing.

Abstract: The present invention describes a method and system for optimizing a test flow within each ATE (Automated Test Equipment) station. The test flow includes a plurality of test blocks. A test block includes a plurality of individual tests. A computing system schedule the test flow based one or more of: a test failure model, test block duration and a yield model. The failure model determines an order or sequence of the test blocks. There are at least two failure models: independent failure model and dependant failure model. The yield model describes whether a semiconductor chip is defective or not. Upon completing the scheduling, the ATE station conducts tests according to the scheduled test flow. The present invention can also be applied to software testing.

Abstract: A method of analyzing physiological data streams. According to the method, physiological data is received into a computerized machine. The physiological data comprises numerical data and medical symptoms of a patient. Features are extracted from the physiological data based on development of the physiological data over a period of time. The features are converted into a textual representation using natural language generation. Input terms for an information retrieval system operating on the computerized machine are automatically generated based on the features. The input terms are input to the information retrieval system. A corpus of data is automatically searched to retrieve results to the input terms using the information retrieval system.

Abstract: A method for automated composition of an application including: receiving a customizable template for application composition and a composition goal, wherein the goal comprises a plurality of tags and the goal is incomplete such that more than one possible composition matches the goal; refining the goal by automatically adding refinement tags to the goal; and generating an application flow that matches the customizable template and the refined goal, wherein the application flow comprises data sources, data processing operators, and outputs of the application flow.

Abstract: A method for performing assisted knowledge discovery includes receiving a dataset. Each of a plurality of analytical techniques is applied to the received data set to generate a plurality of corresponding analytical results. A composite validation metric is applied to each of the plurality of analytical results. The composite validation metric is a single scoring/ranking function that is created from a plurality of different scoring/ranking functions. The plurality of analytical results is presented to a user arranged in accordance with the results of the applying the composite validation metric to each of the plurality of analytical results. A selection from the user from among the plurality of analytical results is recorded. The user's selection is used to modify the composite validation metric such that the analytical techniques responsible for generating the selected analytical result is scored/ranked more highly.

Abstract: The present invention describes a method and system for optimizing a test flow within each ATE (Automated Test Equipment) station. The test flow includes a plurality of test blocks. A test block includes a plurality of individual tests. A computing system schedule the test flow based one or more of: a test failure model, test block duration and a yield model. The failure model determines an order or sequence of the test blocks. There are at least two failure models: independent failure model and dependant failure model. The yield model describes whether a semiconductor chip is defective or not. Upon completing the scheduling, the ATE station conducts tests according to the scheduled test flow. The present invention can also be applied to software testing.

Abstract: A method for assembling an information processing application, includes: inputting a plurality of component descriptions, wherein each of the component descriptions includes a graph pattern that semantically describes an applicability condition of a component and a graph pattern that semantically describes an inclusion effect of the component; inputting a processing request, wherein the processing request includes a goal that is represented by a graph pattern that semantically describes a desired processing outcome; assembling a processing graph, wherein the processing graph includes at least one component that satisfies the desired processing outcome; and outputting the processing graph.

Abstract: A method of enabling compiler assisted parallelization of one or more stream processing operators in a stream processing application, which consists of a data flow graph with operators as vertices connected by streams. The method includes specifying a parallelized version of one or more of the operators, with a parameterized degree of parallelism, in the stream application, evaluating whether or not to use the parallelized operator, deciding the degree of parallelism of the parallelized operator, if there is a need for a parallelized operator.

Abstract: A method of analyzing physiological data streams. According to the method, physiological data is received into a computerized machine. The physiological data comprises numerical data and medical symptoms of a patient. Features are extracted from the physiological data based on development of the physiological data over a period of time. The features are converted into a textual representation using natural language generation. Input terms for an information retrieval system operating on the computerized machine are automatically generated based on the features. The input terms are input to the information retrieval system. A corpus of data is automatically searched to retrieve results to the input terms using the information retrieval system.

Abstract: A method of analyzing physiological data streams. According to the method, physiological data is received into a computerized machine. The physiological data comprises numerical data and medical symptoms of a patient. Features are extracted from the physiological data based on development of the physiological data over a period of time. The features are converted into a textual representation using natural language generation. Input terms for an information retrieval system operating on the computerized machine are automatically generated based on the features. The input terms are input to the information retrieval system. A corpus of data is automatically searched to retrieve results to the input terms using the information retrieval system.