摘要:
A workload identifier program works in conjunction with an autonomic manager to calculate a workload representation during a pre-determined interval, calculate a similarity metric for the current workload representation by comparing the current workload representation to workload representations during the previous pre-determined intervals, comparing the similarity metric to a threshold value, and responsive to a determination that the similarity metric exceeds the threshold value, either: (1) issuing notifications to the autonomic manager so that the autonomic manager will ignore a plurality of data points and tune the application server with pre-determined recommendations designed for the dramatically increased workload (if the autonomic manager is a runtime autonomic manager), or (2) providing notification to the administrator about the dramatic increase in workload conditions by changing the color of the current interval (if the autonomic manager is a graphical autonomic manager).
摘要:
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.
摘要:
A method in a data processing system for detecting and reducing database contention and deadlock caused from within an application server. A determination is made as to whether a set of parameters in a statistical model indicates contention. If the set of parameters in the statistical model indicates contention, an application server administrator is notified of the contention and the number of threads in an application server pool is reduced. If the set of parameters in the statistical model indicates contention is reduced, the number of threads in the application server pool is increased.