Abstract: A system and method for workload generation include a processor for identifying a workload model by determining each of a hierarchy for workload generation, time scales for workload generation, and states and transitions at each of the time scales, and defining a parameter by determining each of fields for user specific attributes, application specific attributes, network specific attributes, content specific attributes, and a probability distribution function for each of the attributes; a user level template unit corresponding to a relatively slow time scale in signal communication with the processor; an application level template corresponding to a relatively faster time scale in signal communication with the processor; a stream level template corresponding to a relatively fastest time scale in signal communication with the processor; and a communications adapter in signal communication with the processor for defining a workload generating unit responsive to the template units.

Abstract: A system, method, and computer program product for benchmarking a stream processing system are disclosed. The method comprises generating a plurality of correlated test streams. A semantically related data set is embedded within each of the test streams in the plurality of correlated test streams. The plurality of correlated test streams is provided to at least one stream processing system. A summary is generated for each of the semantically related embedded data sets. A common identifier, which is transparent to the system being tested, is embedded within each stream in the plurality of correlated test streams. The common identifier is extracted from the output data set generated by the stream processing system. At least one of the stored copies of the summaries and the common identifier are compared to an output data set including a set of zero or more correlation results generated by the stream processing system.

Abstract: An automatic planning system is provided for stream processing workflow composition. End users provide requests to the automatic planning system. The requests are goal-based problems to be solved by the automatic planning system, which then generates plan graphs to form stream processing applications. A scheduler deploys and schedules the stream processing applications for execution within an operating environment. The operating environment then returns the results to the end users.

Abstract: System and methods are provided for managing and mitigating privacy risks in a system having a network of processing elements. According to one method, there is receive a request for at least one output product from the system. The request includes a set of privacy parameters. At least one set of workflow generating strategies are created that results in the output product having a privacy risk value below a predefined threshold. At least one of the workflow generating strategies is deployed for automatically producing the at least one output product.

Abstract: An exemplary method is provided for managing and mitigating security risks through planning. A first security-related information of a requested product is received. A second security-related information of resources that are available for producing the requested product is received. A multi-stage process with security risks managed by the first security-related information and the second security-related information is performed to produce the requested product.

Abstract: An exemplary method is provided for managing and mitigating security risks through planning. A first security-related information of a requested product is received. A second security-related information of resources that are available for producing the requested product is received. A multi-stage process with security risks managed by the first security-related information and the second security-related information is performed to produce the requested product.

Abstract: System and methods are provided for managing and mitigating privacy risks in a system having a network of processing elements. According to one method, there is receive a request for at least one output product from the system. The request includes a set of privacy parameters. At least one set of workflow generating strategies are created that results in the output product having a privacy risk value below a predefined threshold. At least one of the workflow generating strategies is deployed for automatically producing the at least one output product.

Abstract: A system, method, and computer program product for benchmarking a stream processing system are disclosed. The method comprises generating a plurality of correlated test streams. A semantically related data set is embedded within each of the test streams in the plurality of correlated test streams. The plurality of correlated test streams is provided to at least one stream processing system. A summary is generated for each of the semantically related embedded data sets. A common identifier, which is transparent to the system being tested, is embedded within each stream in the plurality of correlated test streams. The common identifier is extracted from the output data set generated by the stream processing system. At least one of the stored copies of the summaries and the common identifier are compared to an output data set including a set of zero or more correlation results generated by the stream processing system.

Abstract: A system and method for workload generation include a processor for identifying a workload model by determining each of a hierarchy for workload generation, time scales for workload generation, and states and transitions at each of the time scales, and defining a parameter by determining each of fields for user specific attributes, application specific attributes, network specific attributes, content specific attributes, and a probability distribution function for each of the attributes; a user level template unit corresponding to a relatively slow time scale in signal communication with the processor; an application level template corresponding to a relatively faster time scale in signal communication with the processor; a stream level template corresponding to a relatively fastest time scale in signal communication with the processor; and a communications adapter in signal communication with the processor for defining a workload generating unit responsive to the template units.

Abstract: An exemplary method is provided for managing and mitigating security risks through planning. A first security-related information of a requested product is received. A second security-related information of resources that are available for producing the requested product is received. A multi-stage process with security risks managed by the first security-related information and the second security-related information is performed to produce the requested product.

Abstract: A system, method, and computer program product for benchmarking a stream processing system are disclosed. The method comprises generating a plurality of correlated test streams. A semantically related data set is embedded within each of the test streams in the plurality of correlated test streams. The plurality of correlated test streams is provided to at least one stream processing system. A summary is generated for each of the semantically related embedded data sets. A common identifier, which is transparent to the system being tested, is embedded within each stream in the plurality of correlated test streams. The common identifier is extracted from the output data set generated by the stream processing system. At least one of the stored copies of the summaries and the common identifier are compared to an output data set including a set of zero or more correlation results generated by the stream processing system.

Abstract: A system, method, and computer program product for benchmarking a stream processing system are disclosed. The method comprises generating a plurality of correlated test streams. A semantically related data set is embedded within each of the test streams in the plurality of correlated test streams. The plurality of correlated test streams is provided to at least one stream processing system. A summary is generated for each of the semantically related embedded data sets. A common identifier, which is transparent to the system being tested, is embedded within each stream in the plurality of correlated test streams. The common identifier is extracted from the output data set generated by the stream processing system. At least one of the stored copies of the summaries and the common identifier are compared to an output data set including a set of zero or more correlation results generated by the stream processing system.

Abstract: An automatic planning system is provided for stream processing workflow composition. End users provide requests to the automatic planning system. The requests are goal-based problems to be solved by the automatic planning system, which then generates plan graphs to form stream processing applications. A scheduler deploys and schedules the stream processing applications for execution within an operating environment. The operating environment then returns the results to the end users.

Abstract: A system, method, and computer program product for benchmarking a stream processing system are disclosed. The method comprises generating a plurality of correlated test streams. A semantically related data set is embedded within each of the test streams in the plurality of correlated test streams. The plurality of correlated test streams is provided to at least one stream processing system. A summary is generated for each of the semantically related embedded data sets. A common identifier, which is transparent to the system being tested, is embedded within each stream in the plurality of correlated test streams. The common identifier is extracted from the output data set generated by the stream processing system. At least one of the stored copies of the summaries and the common identifier are compared to an output data set including a set of zero or more correlation results generated by the stream processing system.