Input Projection Algorithms Influence in Prediction and Optimization of QoS Accuracy
Keywords:Quality of Service (QoS), adaptive models, web services, large/big data
Regardless of new achievements in the research of prediction models,Â QoS is still a great issue for high quality web services and remains one of the keyÂ subjects that need to be studied. We believe that QoS should not only be measured,Â but have to be predicted in development and implementation phases. In this paperÂ we assess how different input projection algorithms influence the prediction accuracyÂ of a Multi-Layer Perceptron (MLP) trained with large datasets of web services QoSÂ values.
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