Computer system and method for controlling computer system

Data processing: measuring – calibrating – or testing – Measurement system – Performance or efficiency evaluation

Reexamination Certificate

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Details

C702S182000

Reexamination Certificate

active

07542877

ABSTRACT:
Provided is a control method for a computer system including at least one computer, including: collecting information on operating statuses of the computer system; storing correlation information indicating a correlation among the collected pieces of information; at least one of: detecting a failure that has occurred in a service executed in the computer system from the collected information with reference to the correlation information and creating a process of recovering the detected failure; and accepting an input of a process performed with respect to the computer system; evaluating an effect and a side-effect given to the computer system through execution of at least one of the created process and the inputted process with reference to the correlation information; and determining at least one of a need, an order, and time of execution of the at least one process whose effect and side-effect are evaluated.

REFERENCES:
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patent: 2005/0015665 (2005-01-01), Kato et al.
patent: 2005/0193281 (2005-09-01), Ide et al.
patent: 2005-038223 (2003-07-01), None
patent: 2005-216066 (2004-01-01), None
patent: 2005-327261 (2005-04-01), None
Nakamura, Takahusa, et al., “Introduction to Statistics—Chapter IV Organizing Bivariate and Multivariable Data”, University of Tokyo Press, 1989, ISBN 04-13-04 2060-7, pp. 67-89 in Japanese with partial English translation.
Cristianini, Nello, et al., “An Introduction to Support Vector Machines: and Other Kernel-Based Learning Methods—Chapter 6.1 Support Vector Classification”, Cambridge University Press 2000, Kyoritsu Shuppan Co., Ltd., 2005, ISBN 4-320-12134-1, pp. 93-113, in English, pp. 129-149 in Japanese.
Zhang, Steve, et al., “Ensembles of Models for Automated Diagnosis of System Performance Problems”, Jun. 28, 2005, pp. 1-20.
Bodik, Peter, et al, “Combining Visualization and Statistical Analysis to Improve Operator Confidence and Efficiency for Failure Detection and Localization”, Autonomic Computing, 2005. ICAC 2005, Proceedings. Second International Conference, Jun. 13, 2005, pp. 89-100.

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