Method, system, and computer program product for light weight memory leak detection
View Patent ↗The present invention provides a method, system, and computer program product for light weight memory leak detection. A method in accordance with an embodiment of the present invention comprises: obtaining raw free memory statistics; approximating free memory after garbage collection from the raw free memory statistics; and analyzing the approximated free memory after garbage collection to identify a potential memory leak. A method in accordance with another embodiment of the present invention comprises the steps of: obtaining raw free memory statistics; generating a vector of memory leak indicators from the raw free memory statistics; comparing the vector of memory leak indicators against a plurality of vectors of the same memory leak indicators for known memory leak scenarios; and identifying a potential memory leak based on the comparison.
1. A method for memory leak detection, comprising:
obtaining raw free memory statistics;
approximating free memory after garbage collection from the raw free memory statistics by:
separating the raw free memory statistics into a plurality of periods, wherein each period includes possible garbage collection activity; and
summarizing the raw free memory statistics in each period to a single data point, wherein the single data point approximates the free memory after garbage collection for that period; and
analyzing the approximated free memory after garbage collection to identify a potential memory leak.
2. The method of claim 1 , further comprising:
performing at least one action to address the potential memory leak.
3. The method of claim 2 , wherein the at least one action is performed automatically.
4. The method of claim 3 , wherein the at least one action comprises:
providing a notification of the potential memory leak.
5. The method of claim 3 , wherein the at least one action comprises:
taking heap dumps.
6. The method of claim 1 , further comprising:
separating the single data points for the plurality of periods into a plurality of longer periods; and
analyzing the single data points in each of the longer periods for downward memory trends.
7. The method of claim 1 , wherein the step of analyzing the approximated free memory after garbage collection to identify a potential memory leak further comprises:
analyzing short and long periods of data corresponding to the approximated free memory after garbage collection to identify a potential memory leak.
8. A system, comprising at least one computer, for memory leak detection, comprising:
a system for obtaining raw free memory statistics;
a system for approximating free memory after garbage collection from the raw free memory statistic, the system for approximating comprising:
a system for separating the raw free memory statistics into a plurality of periods, wherein each period includes possible garbage collection activity; and
a system for summarizing the raw free memory statistics in each period to a single data point, wherein the single data point approximates the free memory after garbage collection for that period; and
a system for analyzing the approximated free memory after garbage collection to identify a potential memory leak.
9. The system of claim 8 , further comprising:
a system for performing at least one action to address the potential memory leak.
10. The system of claim 9 , wherein the at least one action is performed automatically.
11. The system of claim 10 , wherein the at least one action comprises:
providing a notification of the potential memory leak.
12. The system of claim 10 , wherein the at least one action comprises:
taking heap dumps.
13. The system of claim 8 , further comprising:
a system for separating the single data points for the plurality of periods into a plurality of longer periods; and
a system for analyzing the single data points in each of the longer periods for downward memory trends.
14. The system of claim 8 , wherein the system for analyzing the approximated free memory after garbage collection to identify a potential memory leak further comprises:
a system for analyzing short and long periods of data corresponding to the approximated free memory after garbage collection to identify a potential memory leak.