Abstract: Techniques for generating a distributed stream processing application are provided. The techniques include obtaining a declarative description of one or more data stream processing tasks from a graph of operators, wherein the declarative description expresses at least one stream processing task, generating one or more containers that encompass a combination of one or more stream processing operators, and generating one or more execution units from the declarative description of one or more data stream processing tasks, wherein the one or more execution units are deployable across one or more distributed computing nodes, and comprise a distributed data stream processing application binary.

Abstract: A power supply circuit for providing power and detecting a plurality of loads' input voltages on a motherboard includes a pulse width modulation (PWM) controller, a voltage output circuit and a voltage feedback circuit electrically connected to the PWM controller and the plurality of loads. The PWM controller outputs PWM control signals. The voltage output circuit receives the PWM control signals and outputs working voltage to the plurality of loads according to the received PWM control signals. The voltage feedback circuit detects the plurality of loads' input voltages and outputs feedback signals to the PWM controller according to the detected input voltages. The PWM controller adjusts its PWM control signal outputs, according to the received feedback signals, and adjusting working voltages to the plurality of loads.

Abstract: State sharing is facilitated in stream processing environments, including distributed stream processing environments. A customized shared state implementation representing the state to be shared is automatically created based on at least one of user preferences, hints of usage, and system performance.

Abstract: Distributed data processing of problems representing resource assignment tasks. The problems are modeled as programs, and the programs are partitioned into sub-instances. Those sub-instances are executed in a distributed computing environment. The partitioning reduces communication costs between sub-instances and convergence time for the optimization program.

Abstract: A method of transforming relational queries of a database into on a data processing system includes receiving a series of relational queries, transforming first parts of the queries into a continuous query embodied as a streaming application, sending parameters in second parts of the queries in the series to the streaming application as a data stream, and executing the continuous query based on the received data stream to generate query results for the series of relational queries. Each query in the series includes a first part and a second part. The first parts are a pattern common to all the queries in the series and the second parts each have one or more parameters that are not common to all of the queries in the series.

Abstract: An Open Database Connectivity (ODBC) proxy infrastructure to transparently route incoming queries to one or more selected query engines. The ODBC proxy receives a query from an application, and determines based on the characteristics of the query and the capabilities of the query engines which one or more query engines are to perform the query. The proxy then routes the query to the one or more query engines, which perform the query. The results are then returned to the proxy, which provides the results to the application.

Abstract: Techniques for composing an application resource model are disclosed.

Abstract: A system for testing a power supply unit includes a test sub-system and a test control sub-system connected to the test sub-system and the power supply unit. The test sub-system perform tests and record the results. The test control sub-system is capable of selecting test items to test the power supply unit and setting an execution sequence of the test items. The test items includes a standby test item for testing the power supply unit at a standby state, a normal test item for testing the power supply unit at a normal state, and an over temperature protection test item for testing the power supply unit at an over heated state. The test control sub-system is further capable of automatically switching the standby test item to the normal test item, and switching the normal test item to the over temperature protection test item.

Abstract: A method for processing a first data stream specifying locations of a user at different times and a second data stream specifying values of a monitored attribute at a location of interest at different times includes: receiving a location-centric trigger specifying at least one spatial predicate condition relative to the location of interest and at least one non-spatial predicate condition relevant to the location of interest, calculating a safe region that includes locations whose probability of satisfying the spatial predicate condition falls below a first threshold, calculating a safe value container that includes values whose probability of satisfying the non-spatial predicate condition falls below a second threshold, and processing the first data stream and the second data stream against the location-centric trigger, by considering only those locations that are not contained within the safe region and only those values that are not contained within the safe value container.

Abstract: A method for processing a first data stream specifying locations of a user at different times and a second data stream specifying values of a monitored attribute at a location of interest at different times includes: receiving a location-centric trigger specifying at least one spatial predicate condition relative to the location of interest and at least one non-spatial predicate condition relevant to the location of interest, calculating a safe region that includes locations whose probability of satisfying the spatial predicate condition falls below a first threshold, calculating a safe value container that includes values whose probability of satisfying the non-spatial predicate condition falls below a second threshold, and processing the first data stream and the second data stream against the location-centric trigger, by considering only those locations that are not contained within the safe region and only those values that are not contained within the safe value container.

Abstract: A method for processing a first data stream specifying locations of a user at different times and a second data stream specifying values of a monitored attribute at a location of interest at different times includes: receiving a location-centric trigger specifying at least one spatial predicate condition relative to the location of interest and at least one non-spatial predicate condition relevant to the location of interest, calculating a safe region that includes locations whose probability of satisfying the spatial predicate condition falls below a first threshold, calculating a safe value container that includes values whose probability of satisfying the non-spatial predicate condition falls below a second threshold, and processing the first data stream and the second data stream against the location-centric trigger, by considering only those locations that are not contained within the safe region and only those values that are not contained within the safe value container.

Abstract: Techniques for generating a distributed stream processing application are provided. The techniques include obtaining a declarative description of one or more data stream processing tasks, wherein the declarative description expresses at least one stream processing task, and generating one or more execution units from the declarative description of one or more data stream processing tasks, wherein the one or more execution units are deployable across one or more distributed computing nodes, and comprise a distributed data stream processing application.

Abstract: Techniques for generating a distributed stream processing application are provided. The techniques include obtaining a declarative description of one or more data stream processing tasks from a graph of operators, wherein the declarative description expresses at least one stream processing task, generating one or more containers that encompass a combination of one or more stream processing operators, and generating one or more execution units from the declarative description of one or more data stream processing tasks, wherein the one or more execution units are deployable across one or more distributed computing nodes, and comprise a distributed data stream processing application binary.

Abstract: State sharing is facilitated in stream processing environments, including distributed stream processing environments. A customized shared state implementation representing the state to be shared is automatically created based on at least one of user preferences, hints of usage, and system performance.

Abstract: There are provided methods, computer program products, and systems for indexing a data stream. A method for indexing a data stream having attribute values includes the steps of parsing the data stream, and forming an index of tuples for a subset of attribute values of the data stream. The index is configured for retrieving the top-K tuples that optimize linearly weighted sums of at least some of the attribute values in the subset.

Abstract: Techniques for composing an application resource model in a data stream processing system are disclosed. The application resource model may be used to understand what resources will be consumed by an application when executed by the data stream processing system. For example, a method for composing an application resource model for a data stream processing system comprises the following steps. One or more operator-level metrics are obtained from an execution of a data stream processing application in accordance with a first configuration. The application is executed by one or more nodes of the data stream processing system, and the application is comprised of one or more processing elements that are comprised of one or more operators. One or more operator-level resource functions are generated based on the obtained one or more operator-level metrics. A processing element-level resource function is generated based on the one or more generated operator-level resource functions.

Abstract: A system is used to measure a fan rotational speed. The system includes a main controller, a first socket coupled to the linear fan, a second socket connected to the main controller, and an optical fiber amplifier connected to the main controller. A PWM (pulse width module) fan is coupled to the second socket, the PWM fan sends a first rotational speed signal, which represent a rotation speed of the PWM fan, to the main controller via the second socket. The optical fiber amplifier is capable of radiating light on fan blades of the linear fan, and sensing light reflected by the fan blades to count a rotational speed of the linear fan, and generating a second rotational speed signal which represents a rotational speed of the linear fan. The optical fiber amplifier sends the second rotational speed signal to the main controller.

Abstract: Techniques for scheduling a plurality of jobs sharing input are provided. The techniques include partitioning one or more input datasets into multiple subcomponents, analyzing a plurality of jobs to determine which of the plurality of jobs require scanning of one or more common subcomponents of the one or more input datasets, and scheduling a plurality of jobs that require scanning of one or more common subcomponents of the one or more input datasets, facilitating a single scanning of the one or more common subcomponents to be used as input by each of the plurality of jobs.

Abstract: System and method for modeling a content-based network. The method includes finding single mode clusters from among network (sender and recipient) and content dimensions represented as a tensor data structure. The method allows for derivation of useful cross-mode clusters (interpretable patterns) that reveal key relationships among user communities and keyword concepts for presentation to users in a meaningful and intuitive way. Additionally, the derivation of useful cross-mode clusters is facilitated by constructing a reduced low-dimensional representation of the content-based network. Moreover, the invention may be enhanced for modeling and analyzing the time evolution of social communication networks and the content related to such networks. To this end, a set of non-overlapping or possibly overlapping time-based windows is constructed and the analysis performed at each successive time interval.

Abstract: One embodiment of the present method and apparatus adaptive load shedding includes receiving at least one data stream (comprising a plurality of tuples, or data items) into a first sliding window of memory. A subset of tuples from the received data stream is then selected for processing in accordance with at least one data stream operation, such as a data stream join operation. Tuples that are not selected for processing are ignored. The number of tuples selected and the specific tuples selected depend at least in part on a variety of dynamic parameters, including the rate at which the data stream (and any other processed data streams) is received, time delays associated with the received data stream, a direction of a join operation performed on the data stream and the values of the individual tuples with respect to an expected output.