Abstract: A technique includes receiving data indicative of operation management events, where each event occurs at an associated time. The technique includes processing the data to selectively group the events in episodes based on the associated times and identifying which events are correlated based at least in part on the episodes.

Abstract: A method for event correlation includes receiving events from a network of systems and classifying the events into itemsets, where each itemset includes a set of frequently correlated events. The method also includes calculating a confidence value for each of the itemsets, identifying itemsets whose confidence values conform to a confidence criterion, and varying the confidence criterion to reduce the number of the identified itemsets. A computer program product and data processing system are also disclosed.

Abstract: A technique that includes receiving a data stream that is indicative of a plurality of multi-dimensional points in a processor-based machine and for each dimension, organizing data indicative of values of the points in the dimension in an associated hierarchical tree. The technique includes using the processor-based machine to determine whether a given point of the plurality of points is an outlier based on a combination of the trees.

Abstract: A method and system for identifying at a remote location provide at least one condition associated with an energy system (102) and control the energy system (102) The energy system (102) includes an energy storage system (ESS) (104) capable of storing electric energy, an energy consumption system (ECS) (106) capable of consuming electric energy from the ESS (104) and an energy management system (EMS) (108) capable of interacting with the ESS (104) and the ECS (106) A parameter associated with the ESS (104) is measured, and the measured parameter is compared with reference data to determine the deviation of the measured parameter from the reference data, and the deviation indicates the condition of the energy system (102) The deviation is determined by the EMS (108) or at the remote location, and the deviation is sent to the remote location while the deviation is determined by the EMS (108).

Abstract: A method and a system for determining compensation to be paid for using any one of an energy storage system and an energy system are provided. The energy system is at least partially powered by electricity stored in the energy storage system. The method includes, determining the amount of consumption of electric energy from the energy storage system during a period of usage, and determining the carbon credit associated with the energy storage system or the energy system during the usage. Thereafter, the compensation is calculated based on the amount of consumption of the electric energy and the carbon credit.

Abstract: A method and a system for facilitating validation of introduction of one or more features in a variant of an electrically powered system are provided. The method includes, introducing the features in plurality of electrically powered systems which are at least partially powered by electricity. Thereafter, data is collected, corresponding to at least one of the energy storage system and the energy consumption system of each of the plurality of electrically powered systems, based on the data required for validating the features introduced in the electrically powered system. The collected data corresponding to the energy storage system and the energy consumption system is transmitted to a remote location, thereby enabling analysis of the data, at the remote location, for validating introduction of the at least one feature in the variant of the electrically powered system.

Abstract: A system and method is provided for estimating and enhancing performance that can be delivered by an energy storage system beyond the energy storage system's warranty period. The system includes an energy management system configured to communicate and manage the energy storage system and a data processing system configured to communicate with the energy management system. The system is configured to estimate performance delivered by the energy storage system beyond the energy storage system's warranty period, identify adaptations to be made to enhance the performance of the energy storage system, and make adaptations to the energy storage system, thereby enhancing the performance that can be delivered by an energy storage system beyond the energy storage system's warranty period.

Abstract: An adapter receives tuples of streaming data from a streaming data source. The adapter extracts selected attributes from the tuples of streaming data, and writes the selected attributes to a buffer associated with a visualization engine for displaying the selected attributes in a visualization screen. The selected attributes are written to the buffer according to a predefined format supported by the visualization engine. The adapter receives interactive user input to change the selected attributes to be extracted from the tuples and written to the buffer.

Abstract: The invention provides a method and a system for enabling antilock braking in a vehicle which is propelled at least by an electric motor. The method includes detecting tendency of locking of the at least one wheel by comparing actual rate of change of speed of the at least one of the motor, wheels, transmission, shaft and ground speed with expected rate of change of speed of at least one wheel, wherein the vehicle is being decelerated. Based on the tendency of locking at least regenerative braking is modulated to prevent locking of at least one wheel of the vehicle.

Abstract: Methods, computer-readable storage media and computer systems are provided for transforming a directed acyclic graph (“DAG”) query plan into a linear plan. A DAG query plan may include a first operator and a second operator that are scheduled to be executed in parallel. The DAG query plan may be modified so that the first and second operators are executed in series as an upstream operator and a downstream operator. A data unit output from the upstream operator may be marked to indicate that the data unit has been processed by the upstream operator. The data unit received as input at the downstream operator may be inspected to determine whether the data unit has been marked. Once in linear form, the query plan may be optimized to conserve computing resources.

Abstract: New data points are added to a streaming window of data points and existing data points are removed from the window over time. Each data point has a value for each of one or more dimensions. Each time a given new data point is added to the window or a given existing data point is removed from the window, one or more outlier detection data structures are updated. Each outlier detection data structure encompasses the data points within the streaming window for a corresponding dimension. The outlier detection data structures are used to detect outlier data points within the window over selected one or more dimensions.

Abstract: A data processing system, implemented as programming on a suitably-programmed device includes a data input module that supplies a data input; and a wavelet transformation and compression module coupled to the data input module. The wavelet transformation and compression module receives a representation of the input data.

Abstract: Sensor data is received from one or more sensors. The sensor data is organized within a hierarchy. The sensor data is organized within a hierarchy that is non-dyadic. A processor of a computing device generates a discrete wavelet transform, based on the sensor data and based on the hierarchy of the sensor data, to compress the sensor data. The sensor data, as has been compressed via generation of the discrete wavelet transform, is processed.

Abstract: In a method for estimating a static execution time of a database query, a prediction of query runtime tree is built from historical query information. A database query is received. The prediction of query runtime tree is used to estimate the static execution time of the database query.

Abstract: One embodiment is a method that builds a model of multi-dimensional sequence data in real-time with cuboids that aggregate the multi-dimensional sequence data over both patterns and dimensions. The model provides search results for a query.

Abstract: A method of processing a stream of raw data from a plurality of distributed data producing devices includes reducing the raw data to a plurality of representative synopsis coefficients, organizing the synopsis coefficients into a data structure with at least three dimensions, including a time window dimension and an accuracy dimension. Responsive to a detected anomaly in the data structure, at least one of a predetermined autonomous action and an action directed by a user is performed.

Abstract: A system and method for creating a CD Tree for data having unknown classes are provided. Such a method can include dividing training data into a plurality of subsets of node training data at a plurality of nodes arranged in a hierarchical arrangement, wherein the node training data has a range. Furthermore, dividing node training data at each node can include, ordering the node training data, generating a plurality of separation points and a plurality of pairs of bins from the node training data, wherein each pair of bins includes a first bin and a second bin with a separation point being located between the first bin and the second bin, and classifying the node training data into either the first bin or the second bin for each of the separation points, wherein the classifying is based on a data classifier.

Abstract: One embodiment is a method that generates points from an input space obtained from a query for a database. A kernel function maps the points from the input space to a feature space. Given a point in the feature space, a reverse mapping identifies coordinates in the input space for the point to predict performance of the query before the query executes in the database.

Abstract: A workload management system and operating method are configured for query stream execution using priority gradient programming. The workload management system comprises a database system that executes queries at a priority gradient wherein no more than a predetermined number of queries execute at a particular priority, and a scheduler that schedules queries for execution on the database system and restricts the queries to a number that consumes less than total system memory.

Abstract: A mixed workload scheduler and operating method efficiently handle diverse queries ranging from short less-intensive queries to long resource-intensive queries. A scheduler is configured for scheduling mixed workloads and comprises an analyzer and a schedule controller. The analyzer detects execution time and wait time of a plurality of queries and balances average stretch and maximum stretch of scheduled queries wherein query stretch is defined as a ratio of a sum of wait time and execution time to execution time of a query. The schedule controller modifies scheduling of queries according to service level differentiation.