Automatic maintenance of a computing system in a steady...

Error detection/correction and fault detection/recovery – Data processing system error or fault handling – Reliability and availability

Reexamination Certificate

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Reexamination Certificate

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07992054

ABSTRACT:
An autonomic computing system is automatically maintained in a steady state. The system has a number of parameters, each of which has one or more threshold. The system may further have a number of influencers, adjustment of which affects values of the parameters. One or more of the parameters are determined as each reaching one of its threshold, and are referred to as to-be-affected parameters. Each to-be-affected parameter is identified and its thresholds identified. A correlation value may be determined between each influencer and each to-be-affected parameter, and/or between each to-be-affected parameter and each other to-be-affected parameter. The to-be-affected parameters are adjusted, based on the correlation values determined, so that the to-be-affected parameters return to more-normal values.

REFERENCES:
patent: 2003/0229471 (2003-12-01), Guralnik et al.
A.Y. Milanes et al., “Design and implementation of a global self-tuning architecture,” Simpósio Brasileiro de Bancos de Dados (USSB),Oct. 2005, MG, Brazil.
L. Stojanovic et al., “The role of ontologies in autonomic computing systems,” IBM Systems Journal, vol. 43, No. 3, 2004.

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