Robbie John Minshall

US Patent:

7512606, Mar 31, 2009

Filed:

Mar 31, 2005

Appl. No.:

11/095985

Inventors:

Bert Vincent Laonipon - Raleigh NC, US
Robbie John Minshall - Chapel Hill NC, US
Carolyn Haibt Norton - Apex NC, US
Srinvasan K. Rangaswamy - Morrisville NC, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 17/30

US Classification:

707 8, 707202, 718105

Abstract:

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.

US Patent:

7895483, Feb 22, 2011

Filed:

May 25, 2007

Appl. No.:

11/753899

Inventors:

Matt Richard Hogstrom - Cary NC, US
Robbie John Minshall - Chapel Hill NC, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G11C 29/00

US Classification:

714718

Abstract:

A computerized method, program product, and a service that allocates and isolates leaky memory during the execution of an application in a data processing system. A memory controller having several components first identifies a leaky section of memory and delegates to an allocation component to allocate more memory if possible. If, however, the problematic memory section should not be allocated more memory, an isolator component can isolate the memory section and further divide the memory section into subsections and so on. Each section and each subsection may then be tested to determine if more memory can be allocated, tested to determine if memory resources are strained so as to identify the application or its component causing the strain and then binding the memory. Each section and subsection and further divided and isolated until the leaky portion of memory is identified, and as a result, the software component causing the leak can also be identified. The software component associated with the leaky memory section or subsection can also be taken out-of-service.

US Patent:

8041686, Oct 18, 2011

Filed:

Jul 29, 2008

Appl. No.:

12/181920

Inventors:

Bert Vincent Laonipon - Raleigh NC, US
Robbie John Minshall - Chapel Hill NC, US
Carolyn Haibt Norton - Apex NC, US
Srinvasan K. Rangaswamy - Morrisville NC, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 17/30

US Classification:

707688

Abstract:

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.

US Patent:

8397111, Mar 12, 2013

Filed:

Dec 23, 2010

Appl. No.:

12/977779

Inventors:

Matt R. Hogstrom - Cary NC, US
Robbie J. Minshall - Chapel Hill NC, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G11C 29/00

US Classification:

714718

Abstract:

Detecting leaky memory during the execution of an application in a data processing system. A memory controller identifies a leaky section of memory and delegates to an allocation component to allocate more memory. An isolator component isolates the memory section and further divides the memory section into subsections. Each section and each subsection are tested to determine if memory resources are strained to identify an application or its component causing the strain. Each section and subsection are further divided and isolated until the leaky portion of memory is identified, and as a result, the software component causing the leak can also be identified.

US Patent:

20060277440, Dec 7, 2006

Filed:

Jun 2, 2005

Appl. No.:

11/143032

Inventors:

Robbie Minshall - Chapel Hill NC, US
Ruth Willenborg - Apex NC, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 11/00

US Classification:

714038000

Abstract:

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.

US Patent:

20070067369, Mar 22, 2007

Filed:

Sep 22, 2005

Appl. No.:

11/232647

Inventors:

Robbie Minshall - Chapel Hill NC, US

International Classification:

G06F 17/30

US Classification:

707205000

Abstract:

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: () 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 () 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).