Abstract: A system and method include receiving a request to analyze streaming data on a grid computing environment, sending, by a primary control node, a portion of the streaming data to each of the plurality of worker nodes, such that each of the plurality of worker nodes analyzes the portion of the streaming data received from the primary control node, receiving, by the primary control node, sub-results from each of the plurality of worker nodes, combining, by the primary control node, the sub-results to compute a result, and outputting, by the primary control node, the result analyzing the streaming data.

Abstract: A system and method include receiving a request to analyze streaming data on a grid computing environment, sending, by a primary control node, a portion of the streaming data to each of the plurality of worker nodes, such that each of the plurality of worker nodes analyzes the portion of the streaming data received from the primary control node, receiving, by the primary control node, sub-results from each of the plurality of worker nodes, combining, by the primary control node, the sub-results to compute a result, and outputting, by the primary control node, the result analyzing the streaming data.

Abstract: A system and method include learning a topological order of a plurality of variables in a directed acyclic graph based on real data, computing parameter estimate values corresponding to the real data, computing error values based on the real data, the topological order, and the parameter estimate values, generating simulated data from the parameter estimate values and the error values, such that simulated variables in the simulated data preserve a causal relationship between variables in the real data, and the simulated variables in the simulated data preserve a correlation relationship between the variables in the real data, and reorganizing and outputting the simulated data based on the topological order.

Abstract: A system and method include learning a topological order of a DAG by setting an initial index value of a first index, setting an initial score value of a score, setting an initial order list, computing an initial SSCP matrix, sweeping the initial SSCP matrix based on the first index, incrementing the first index to obtain an updated index value of the first index, determining an index value of a second index, computing an updated SSCP matrix, computing an updated score value as a sum of an initial score value and a value identified from the updated SSCP matrix, and computing an updated order list from an initial order list based on the updated index value of the first index and the index value of the second index.

Abstract: A system and method include generating a topological order of a DAG by creating residual series vectors, calculating normality statistic and MSE values for the residual series vectors, comparing the normality statistic values with a critical value, for each normality statistic value that is less than or equal to the critical value, adding a variable index to a temporary order list and the MSE value to an MSE list, counting a number of elements in the temporary order list, if the number of elements in the temporary order list is zero, updating an order list based on the normality statistic values or if the number of elements in the temporary order list is not zero, updating the order list based on at least one of the temporary order list or the MSE list, and outputting the order list as the topological order of the DAG.

Abstract: A system and method include generating a topological order of a DAG by creating residual series vectors, calculating normality statistic and MSE values for the residual series vectors, comparing the normality statistic values with a critical value, for each normality statistic value that is less than or equal to the critical value, adding a variable index to a temporary order list and the MSE value to an MSE list, counting a number of elements in the temporary order list, if the number of elements in the temporary order list is zero, updating an order list based on the normality statistic values or if the number of elements in the temporary order list is not zero, updating the order list based on at least one of the temporary order list or the MSE list, and outputting the order list as the topological order of the DAG.