Database contention and deadlock detection and reduction within application servers

• US 7,512,606 B2
• Filed: 03/31/2005
• Issued: 03/31/2009
• Est. Priority Date: 03/31/2005
• Status: Expired due to Fees

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Minshall, Robbie John, Laonipon, Bert Vincent, Rangaswamy, Srinvasan K., Norton, Carolyn Haibt
• Primary Examiner(s): NGUYEN, CAM LINH T
• Application Number:
  US11/095,985
• Publication Number:
  US 20060224588A1
• Time in Patent Office: 1,461 Days
• Field of Search: 707/8, 707/10, 707/201, 718/100, 718/105
• US Class Current: 1/1
• CPC Class Codes: G06F 11/3442 for planning or managing the needed capacity
• CPC Class Codes: G06F 11/3447 Performance evaluation by modeling
• CPC Class Codes: G06F 9/485 Task life-cycle, e.g. stopping, restarting, resuming execution G06F9/4881 takes precedence
• CPC Class Codes: G06F 9/52 Program synchronisation; Mutual exclusion, e.g. by means of semaphores
• CPC Class Codes: Y10S 707/99938 Concurrency, e.g. lock management in shared database
• CPC Class Codes: Y10S 707/99953 Recoverability

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.

Claims

1. A method in a data processing system for detecting and reducing database contention caused from within an application server, the method comprising:

determining if a set of parameters in a statistical model indicates contention, wherein the statistical model includes a parameter for level and type of workload;

responsive to determining the set of parameters in the statistical model indicates contention, reducing a number of threads in an application server pool;

establishing whether the set of parameters in the statistical model indicates contention is reduced for a specified period of continuous time;

responsive to establishing the set of parameters in the statistical model does not indicate contention is reduced for the specified period of continuous time, returning to the reducing step;

responsive to establishing the set of parameters in the statistical model indicates contention is reduced for the specified period of continuous time, increasing the number of threads in the application server pool;

verifying whether the number of threads is less than a normal number of threads;

responsive to verifying the number of threads is not less than the normal number of threads, returning to the determining step;

responsive to verifying the number of threads is less than the normal number of threads, resolving if the set of parameters in the statistical model indicates contention;

responsive to resolving the set of parameters in the statistical model indicates contention, returning to the reducing step; and

responsive to resolving the set of parameters in the statistical model does not indicate contention, returning to the increasing step.

2. The method of claim 1 further comprising:

responsive to reducing the number of threads in the application server pool, notifying an application server administrator.

3. The method of claim 1 further comprising:

determining if a set of trends involving parameters in the statistical model indicates contention instead of determining if the set of parameters in the statistical model indicates contention.

4. The method of claim 1 wherein the statistical model includes a parameter for thread pool use.

5. The method of claim 1 wherein the statistical model includes a parameter for time spent waiting for a thread to be assigned.

6. The method of claim 1 wherein the statistical model includes a parameter for a number of time-outs.

7. The method of claim 1 wherein the statistical model includes a parameter for deadlocks.

8. The method of claim 1 wherein the statistical model includes a parameter for time spent waiting for a response.

9. The method of claim 1 wherein the statistical model includes a parameter for whether a response is close to a time-out.