Quantitative Analysis for Non-linear System Performance Data using Case-based Reasoning

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Provided by: NICTA
Topic: Big Data
Format: PDF
The effective software architecture evaluation methods are essential in today's system development for mission critical systems. The authors have previously developed MEMS and a set of test statistics for evaluating middleware architectures, which proven an effective assessment of important quality attributes and their characterizations. They have observed it is common that many system performance response data are not of linear nature, where using linear modeling is not feasible in these scenarios for system performance predictions.
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