Method of forecasting resource needs

• US 6,101,460 A
• Filed: 03/23/1998
• Issued: 08/08/2000
• Est. Priority Date: 03/23/1998
• Status: Expired due to Term

• Current Assignee: Verizon Patent and Licensing Incorporated (Verizon Communications Inc.)
• Original Assignee: MCI Communications Corporation (Verizon Communications Inc.)
• Inventors: Isom, Rick E., Brinkerhoff, Christopher S., Clarkson, David B.
• Primary Examiner(s): WACHSMAN, HAL D
• Application Number:
  US09/046,177
• Time in Patent Office: 869 Days
• Field of Search: 702/81, 702/82, 702/176-178, 702/186, 702/182, 702/183, 702/187, 702/FOR 137, 702/FOR 139, 702/FOR 154, 702/FOR 155, 702/179, 702/181, 364/468.06, 364/468.07, 364/468.08, 364/468.1, 705/7, 705/8, 705/10, 705/30, 705/32, 709/223, 709/224, 709/226, 709/104, 709/105, 709/107, 395/672, 395/673, 395/674, 395/675, 395/676, 395/677, 395/835, 395/837, 395/838, 395/839, 395/500.42, 395/500.43, 711/156, 399/79, 399/80, 700/91, 700/93
• US Class Current: 702/179
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/06315 Needs-based resource requirements planning or analysis

Abstract

A method of forecasting having the steps of extracting a number of computer usage records and storing the computer usage records in a records file (102). The computer usage records are then sorted according to date (104). The computer usage records are summarized within a number of date ranges to form a usage summarization record (106). A curve fitting model is applied to the usage summarization record to predict a computer usage trend curve (108). A computer usage forecast is then input (110). A computer usage growth curve is based on the computer usage forecast (112). The computer usage trend curve and the computer usage growth curve are displayed (114).

Claims

1. A computer-implemented method of forecasting computer resource needs for a shared computer resource, comprising the steps of:

(a) extracting a plurality of computer usage records and storing the plurality of computer usage records in a records file;

(b) sorting the plurality of computer usage records according to a date;

(c) summarizing the computer usage records within a plurality of predetermined date ranges to form a usage summarization record;

(d) applying a curve fitting model to the usage summarization record to predict a computer usage trend curve;

(e) inputting a computer usage forecast;

(f) determining a computer usage growth curve based on the computer usage forecast; and

(g) displaying the computer usage trend curve and the computer usage growth curve to forecast computer resource needs for the shared computer resource.

2. The computer-implemented method of claim 1, further including the steps of:

(h) sorting the plurality of computer usage records into a plurality of families using an account information in each of the plurality of computer usage records to form a plurality of family records;

(i) sorting the plurality of family records into the plurality of predetermined date ranges to form a plurality of family usage records;

(j) displaying the plurality of family usage records.

3. The computer-implemented method of claim 2, wherein step (h) further includes the step of:

(h1) sorting the plurality of computer usage records into a plurality of lines of business using the account information in each of the plurality of computer usage records to form a plurality of business records.

4. The computer-implemented method of claim 1, wherein step (e) further includes the steps of:

(e1) determining a plurality of top account users;

(e2) surveying each of the plurality of top account users to form a plurality of usage forecasts;

(e3) determining the computer usage forecast based on the plurality of usage forecasts.

5. The computer-implemented method of claim 1, wherein step (d) further includes the steps of:

(d1) determining a confidence level for the computer usage trend curve;

(d2) when the confidence level is greater than a predetermined level, using the computer usage trend curve; and

(d3) when the confidence level is not greater than a predetermined level, disregarding the computer usage trend curve.

6. The computer-implemented method of claim 1, wherein step (d) further includes the steps of:

(d1) applying a first curve fitting model to a total computer usage to predict a first computer usage trend curve;

(d2) applying a statistical analysis to the first computer usage trend curve to determine a first quality measure;

(d3) applying a second curve fitting model to the total computer usage to predict a second computer usage trend curve;

(d4) applying the statistical analysis to the second computer usage trend curve to determine a second quality measure;

(d5) selecting the first computer usage trend curve when the first quality measure is better than the second quality measure.

7. The computer-implemented method of claim 6, further including the step of:

(d6) selecting the second computer usage trend curve when the second quality measure is better than the first quality measure.

8. A computer-readable storage medium comprising computer readable instructions that when executed by a computer performs the following steps:

(a) acquiring a computer resource usage data;

(b) organizing the computer resource usage data into a plurality of time periods;

(c) determining a total computer usage for each of the plurality of time periods to form a computer resource usage chart;

(d) applying at least two curve fitting models to the computer resource usage chart;

(e) selecting one of the at least two curve fitting models based on a quality measure for each of the at least two curve fitting models to form a selected forecast curve of said computer resource usage;

(f) determining a set of the accounts forming a predetermined part of a total computer usage;

(g) receiving a forecast of a computer resource usage from each of the accounts in the set;

(h) creating a computer resource usage forecast curve from the forecast of the computer resource usage; and

(i) displaying the computer resource usage forecast curve and the selected forecast curve.

9. The computer readable storage medium of claim 8, wherein the step of acquiring the computer resource usage data includes acquiring a measure of processing resource usage.

10. The computer readable storage medium of claim 8, wherein the step of acquiring the computer resource usage data includes acquiring a measure of hard disk space used.

11. The computer readable storage medium of claim 8, wherein the step of acquiring the computer resource usage data includes acquiring a measure of computer tape space used.

12. A computer-implemented method of forecasting computer resource needs for a shared computer resource, comprising the steps of:

(a) acquiring a computer resource usage data;

(b) organizing the computer resource data into a plurality of time periods;

(c) determining a total computer resource usage for each of the plurality of time periods to form a computer resource usage chart;

(d) applying at least two curve fitting models to the computer resource usage chart;

(e) selecting one of the at least two curve fitting models based on a quality measure for each of the at least two curve fitting models to form a selected forecast curve;

(f) determining a set of accounts forming a predetermined part of a total computer resource usage;

(g) receiving a forecast of a computer resource usage from each of the accounts in the set;

(h) creating a computer usage forecast curve from the forecast of the computer resource usage; and

(i) displaying the computer usage forecast curve and the selected forecast curve to forecast computer resource needs for the shared computer resource.

13. The computer-implemented method of claim 12, wherein the step of acquiring the computer resource usage data includes acquiring a measure of processing computer resource usage.

14. The computer-implemented method of claim 12, wherein the step of acquiring the computer resource usage data includes acquiring a measure of hard disk space used.