Oracle International Corporation

Ganesh Narayanamurthy

Arvind Kumar Maheshwari

Rishi Saraswat

Methods for obtaining and analyzing a reduced data set are disclosed. In an embodiment, runtime dependencies between components are identified. Based on runtime dependencies, it is determined that a first component is configured to access a second component during runtime but is not configured to access a third component during the runtime. A subset of monitoring data associated with the second component is reported. A subset of the monitoring data associated with the third component is not reported. In an embodiment, a first data set associated with a component is obtained. The first data set is aggregated by monitoring of the component. A second data set, associated with the component, is simulated. The second data set is simulated based on the first data set and/or data modeling associated with the component. A characteristic and/or performance of the component is analyzed based on the first data set and the second data set.

Obtaining and analyzing a reduced metric data set

Various embodiments are presented for bulk recovery or faults in a service oriented architecture system. The number of faults submitted for recovery is determined based on the capacity of the system. A linear programming model is used to determine the maximum recovery capacity of the system. The maximum recovery capacity is configured to be below the capacity of the system.

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Hyderabad Telangana, India

Ganesh Narayanamurthy