Performance Monitoring

• US 20080263195A1
• Filed: 04/20/2007
• Published: 10/23/2008
• Est. Priority Date: 04/20/2007
• Status: Active Grant

• Current Assignee: SAP SE
• Original Assignee: SAP AG (SAP SE)
• Inventors: Kroll, Thomas, Scherf, Ina
• Granted Patent: US 9,602,340 B2
• Time in Patent Office: Days
• US Class Current: 709/224
• CPC Class Codes: G06F 11/3409 for performance assessment
• CPC Class Codes: G06F 11/3452 Performance evaluation by statistical analysis
• CPC Class Codes: G06F 11/3476 Data logging G06F11/14, G06F11/2205 take precedence
• CPC Class Codes: G06F 2201/86 Event-based monitoring
• CPC Class Codes: H04L 41/064 involving time analysis
• CPC Class Codes: H04L 41/147 for predicting network behaviour
• CPC Class Codes: H04L 43/00 Arrangements for monitoring or testing data switching networks

Abstract

Real-time data is extracted from a log file for at least one monitored process on each of a plurality of servers. For each monitored process, extracted real-time data is inserted into object variables of an object. The object variable data is processed to generate performance statistics for the monitored processes and to determine whether to trigger an alarm. A database is updated with object variable data and performance statistics when an event associated with a monitored process takes place. Historical performance statistics from the database are compared with current performance statistics to determine a performance trend.

Claims

1. A method, comprising

extracting real-time data from a log file for at least one monitored process on each of a plurality of servers;

for each monitored process, inserting extracted real-time data into object variables of an object;

processing object variable data to generate performance statistics for the monitored processes and to determine whether to trigger an alarm;

updating a database with object variable data and performance statistics in response to the occurrence of an event associated with a monitored process; and

comparing historical performance statistics from the database with current performance statistics to determine a performance trend.

2. The method of claim 1, wherein the performance trend is a trend of process response time for a given time period.

3. The method of claim 1, wherein the performance statistics include statistics indicating one or more processes, if any, that retards other processes.

4. The method of claim 1, wherein the performance statistics includes a list of having the longest sum in duration.

5. An article of manufacture comprising a computer-readable medium having content stored thereon to provide instructions to result in an electronic device performing operations including:

extracting real-time data from a log file for at least one monitored process on each of a plurality of servers;

for each monitored process, inserting extracted real-time data into object variables of an object;

processing object variable data to generate performance statistics for the monitored processes and to determine whether to trigger an alarm;

updating a database with object variable data and performance statistics in response to the occurrence of an event associated with a monitored process; and

comparing historical performance statistics from the database with current performance statistics to determine a performance trend.

6. The article of manufacture of claim 5, wherein the performance trend is a trend of process response time for a given time period.

7. The article of manufacture of claim 5, wherein the performance statistics include statistics indicating one or more processes, if any, that retards other processes.

8. The article of manufacture of claim 5, wherein the performance statistics includes a list of having the longest sum in duration.

9. An apparatus, comprising:

means for extracting real-time data from a log file for at least one monitored process on each of a plurality of servers;

for each monitored process, inserting extracted real-time data into object variables of an object;

means for processing object variable data to generate performance statistics for the monitored processes and to determine whether to trigger an alarm;

means for updating a database with object variable data and performance statistics in response to the occurrence of an event associated with a monitored process; and

means for comparing historical performance statistics from the database with current performance statistics to determine a performance trend.

10. The apparatus of claim 9, wherein the performance trend is a trend of process response time for a given time period.

11. The apparatus of claim 9, wherein the performance statistics include statistics indicating one or more processes, if any, that retards other processes.

12. The apparatus of claim 9, wherein the performance statistics includes a list of having the longest sum in duration.