The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 02, 2006

Filed:

Mar. 10, 2003
Applicants:

Steven E. Froehlich, Danbury, CT (US);

Joseph L. Hellerstein, Ossining, NY (US);

Edwin Richie Lassettre, Los Gatos, CA (US);

Todd William Mummert, Carmel, NY (US);

Maheswaran Surendra, Croton-on-Hudson, NY (US);

Inventors:

Steven E. Froehlich, Danbury, CT (US);

Joseph L. Hellerstein, Ossining, NY (US);

Edwin Richie Lassettre, Los Gatos, CA (US);

Todd William Mummert, Carmel, NY (US);

Maheswaran Surendra, Croton-on-Hudson, NY (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 3/05 (2006.01);
U.S. Cl.
CPC ...
Abstract

Techniques for performing adaptive and robust prediction. Prediction techniques are adaptive in that they use a minimal amount of historical data to make predictions, the amount of data being selectable. The techniques are able to learn quickly about changes in the workload traffic pattern and make predictions, based on such learning, that are useful for proactive response to workload changes. To counter the increased variability in the prediction as a result of using minimal history, robustness is improved by checking model stability at every time interval and revising the model structure as needed to meet designated stability criteria. Furthermore, the short term prediction techniques can be used in conjunction with a long term forecaster.


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