Scalable QoE Prediction for Service Composition

Natalia Kushik; Nina Yevtushenko

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Paper

Scalable QoE Prediction for Service Composition

In Proceedings of the 2nd International Workshop on Emerging Software as a Service and Analytics - Volume 0CLOSER, 16-26, 2015 , Lisbon, Portugal

Authors: Natalia Kushik and Nina Yevtushenko

Affiliation: Tomsk State University, Russian Federation

Keyword(s): Service (Composition), QoE Estimation/Prediction, Logic Network/Circuit.

Abstract: In this paper, we present an approach for scalable QoE estimation/prediction of a composition of given services. The approach relies on using logic circuits/networks for the QoE prediction. Given two logic circuits that predict the QoE values of two service components, we propose a method for synthesizing the resulting logic circuit that predicts the QoE of the overall service composition. As the complexity of this resulting circuit significantly depends on the complexity of an implementation of a MIN function, we present an experimental evaluation of the complexity of the corresponding circuit.

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Paper citation in several formats:

Kushik, N. and Yevtushenko, N. (2015). Scalable QoE Prediction for Service Composition. In Proceedings of the 2nd International Workshop on Emerging Software as a Service and Analytics (CLOSER 2015) - ESaaSA; ISBN 978-989-758-110-6, SciTePress, pages 16-26. DOI: 10.5220/0005524600160026

@conference{esaasa15,
author={Natalia Kushik. and Nina Yevtushenko.},
title={Scalable QoE Prediction for Service Composition},
booktitle={Proceedings of the 2nd International Workshop on Emerging Software as a Service and Analytics (CLOSER 2015) - ESaaSA},
year={2015},
pages={16-26},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005524600160026},
isbn={978-989-758-110-6},
}

TY - CONF

JO - Proceedings of the 2nd International Workshop on Emerging Software as a Service and Analytics (CLOSER 2015) - ESaaSA
TI - Scalable QoE Prediction for Service Composition
SN - 978-989-758-110-6
AU - Kushik, N.
AU - Yevtushenko, N.
PY - 2015
SP - 16
EP - 26
DO - 10.5220/0005524600160026
PB - SciTePress