System and methods for quantitatively evaluating complexity...

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

Reexamination Certificate

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C702S081000

Reexamination Certificate

active

07472037

ABSTRACT:
A technique for quantitatively evaluating a complexity associated with a configuration of a system under evaluation comprises the following steps/operations. Configuration-related data for the system under evaluation is collected. At least a portion of the configuration-related data is quantitatively analyzed using a model of human configuration cost to estimate a configuration complexity of the system under evaluation. A quality of the configuration of the system under evaluation is assessed. The configuration complexity of the system under evaluation is reported based on the quantitative analysis and the quality assessment. The step/operation of reporting the configuration complexity of the system under evaluation further comprises producing a report via an algorithm that computes a financial impact of a specified configuration process. The technique is useable to optimize a financial cost of providing one or more hosting services by selecting one or more system configurations that minimize a configuration cost.

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Brown, A; Keller, A; Hellerstein, J; “A Model of Configuration Complexity and its Application to a Change Management System”; IFIP/IEEE International Conference on Integrated Network Management; May 15-19, 2005; pp. 631-644).
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Brown, A; Hellerstein, J;“a model of configuration complexity and its application to a change management system”;IFIP/IEEE International Conference on Integrated Network Management; May 15-19, 2005; pp. 631-644.
Brown, A; Keller, A; Hellerstein, J; “A Model of Configuration Complexity and its Application to a Change Management System”; IFIP/IEEE International Conference on Integrated Network Management; May 15-19, 2005; pp. 631-644).
A.B. Brown et al., “Experience with Evaluating Human-Assisted Recovery Processes,” Proceedings of the International Conference on Dependable Systems and Networks, Los Alamitos, CA, IEEE, 6 pages, Jun.-Jul. 2004.

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