Pivotal Software, Inc.

Vmware, Inc.

John Victor Kew

Jonathan Travis

Scott A Andrews

The current application is directed to crosscutting functionalities, including byte-code instrumentation, error logging, and other such crosscutting functionalities. These crosscutting functionalities generally violate, or run counter to, modern code-development strategies and programming-language features that seek to partition logic into hierarchically organized compartments and modules with related functionalities, attribute values, and other common features. In particular, the current application is directed to byte-code instrumentation introduced into a computer program for collecting data, such as execution traces, elapsed times for routine execution, and other information at run time for logging and subsequently manual, semi-automatic, or automatic analysis. The current application is particularly directed to byte-code instrumentation that automatically filters collected data in order to log only data having greatest value for subsequent analysis.

Filtering data frames using program instrumentation

In one embodiment, a method for processing trace data is provided. The method generates trace data during execution of the target application and obtains criteria for identifying whether a value in the trace data is sensitive. An initial occurrence of a sensitive value in the trace data is identified based on the obtained criteria. The method then stores the sensitive value in a data structure accessible by an obscuring process. The obscuring process receives the trace data and obscures occurrences of the sensitive value in the trace data prior to providing the trace data for display.

Marking and obscuring sensitive values in traces

The current application is directed to monitoring subsystems, and monitoring methods incorporated within the monitoring subsystems, that monitor operation of devices and systems in order to identify normal states and to quickly determine when a device or system transitions from a normal state to an abnormal state. The methods and monitoring components to which the current application is directed employ self-organizing maps and moving-average self-organizing maps to both characterize normal system behavior and to identify transitions to abnormal system behaviors.

Monitoring method and subsystem that detects abnormal system states

The current application is directed to flexible and run-time-modifiable implementation of crosscutting functionalities, including code instrumentation, error logging, and other such crosscutting functionalities. These crosscutting functionalities generally violate, or run counter to, modern code-development strategies and programming-language features that seek to partition logic into hierarchically organized compartments and modules with related functionalities, attribute values, and other common features. One feature of the methods and systems for implementing crosscutting functionalities to which the current application is directed is an intelligent switch that can be controlled, at run time, to alter invocation and behavior of crosscutting-functionality implementations, including data-collection instrumentation, error logging, and other crosscutting-functionality implementations.

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Seattle, WA, United States of America

John Victor Kew