Method for calculating capacity measurements for an internet web site

• US 6,263,361 B1
• Filed: 11/19/1998
• Issued: 07/17/2001
• Est. Priority Date: 11/19/1998
• Status: Expired due to Term

• Current Assignee: Teradata US, Inc. (Teradata Corporation)
• Original Assignee: NCR Corporation
• Inventors: Ramer, Rebecca A., Hoyer, Gary G.
• Primary Examiner(s): Etienne, Ario
• Application Number:
  US09/196,492
• Time in Patent Office: 971 Days
• Field of Search: 709/203, 709/200, 709/201, 709/204, 709/218, 709/227, 709/233, 709/232, 709/234-5, 709/249
• US Class Current: 709/203
• CPC Class Codes: G06F 11/3419 by assessing time
• CPC Class Codes: G06F 11/3452 Performance evaluation by statistical analysis
• CPC Class Codes: G06F 2201/81 Threshold
• CPC Class Codes: G06F 2201/875 Monitoring of systems including the internet
• CPC Class Codes: G06F 2201/88 Monitoring involving counting
• CPC Class Codes: G06F 2201/885 Monitoring specific for caches

Abstract

Disclosed is a method and apparatus for calculating web site capacity using measurement performance values collected by a web server using data from web browser MIB'"'"'s and a HTTP MIB. The measurement performance values are sent by a server in the web site to a remote computer on which resides a platform independent program capable of calculating web site capacity. The capacity is calculated using web server hit rate, response time and CPU utilization. This capacity calculation can be displayed in textual format in various views of performance such as server performance, cluster performance and history of the server and cluster.

Claims

1. A computer implemented method of calculating capacity measurements for a web site, comprising the steps of:

first calculating an average web server hit rate, an average web server response time and an average CPU utilization;

second calculating a web server hit rate percentage, a web server response time percentage and a CPU utilization percentage; and

third generating a single measurement to measure the capacity of the web site by combining the web server hit rate percentage, the web server response time percentage and the CPU utilization percentage.

2. The method of claim 1, comprising establishing a hit rate resolution.

3. The method of claim 1, comprising establishing an update interval.

4. The method of claim 3, comprising establishing a hit rate resolution and wherein the average hit rate is calculated according to the formula:

5. The method of claim 4, comprising establishing a high hit count threshold and wherein the web server hit rate percentage is calculated according to the formula:

6. The method of claim 1, comprising establishing a high response time threshold and wherein the response time percentage is calculated according to the formula:

7. The method of claim 1, comprising establishing a high CPU utilization threshold and wherein the CPU utilization percentage is calculated according to the formula:

8. The method of claim 1, comprising:

establishing an update interval;

establishing a hit rate resolution wherein the average hit rate is calculated according to the formula;

9. The method of claim 1, further comprising:

forwarding the web server hit rate, web server hit rate, web server response time and cpu utilization to a client; and

storing the web server hit rate, web server response time and cpu utilization at the client.

10. The method of claim 1, wherein the method of claim 1 is performed by an applet.

11. The method of claim 1, wherein cpu utilization is extracted from a perfMIB.

12. The method of claim 1, wherein the hit rate is extracted from one of a Netscape MIB and an HTTP MIB.

13. The method of claim 1, wherein one of the performance variables is response time which is measured by issuing a HTTP GET request to each client.

14. An article, comprising:

at least one sequence of machine executable instructions;

a medium bearing the executable instructions in machine readable form, wherein execution of the instructions by one or more processors causes the one or more processors to;

first calculate an average web server hit rate, an average web server response time and an average CPU utilization;

second calculate a web server hit rate percentage, a web server response time percentage and a CPU utilization percentage; and

third generate a single measurement to measure the capacity of the web site by combining the web server hit rate percentage, the web server response time percentage and the CPU utilization percentage.

15. A computer architecture comprising:

first calculating means for calculating an average web server hit rate, an average web server response time and an average CPU utilization;

second calculating means for calculating a web server hit rate percentage, a web server response time percentage and a CPU utilization percentage; and

third calculating means for generating a single measurement to measure the capacity of the web site by combining the web server hit rate percentage, the web server response time percentage and the CPU utilization percentage.

16. A computer system comprising:

a processor; and

a memory coupled to said processor, the memory having stored therein sequences of instructions, which, when executed by said processor, causes said processor to perform the steps of;

first calculating an average web server hit rate, an average web server response time and an average CPU utilization;

second calculating a web server hit rate percentage, a web server response time percentage and a CPU utilization percentage; and

third generating a single measurement to measure the capacity of the web site by combining the web server hit rate percentage, the web server response time percentage and the CPU utilization percentage.