@inproceedings{f88b4f0e23c24b3fa5a90a2170fc9bf7,
title = "Scalable QoE prediction for service composition",
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.",
keywords = "Logic network/circuit, QoE estimation/prediction, Service (composition)",
author = "Natalia Kushik and Nina Yevtushenko",
year = "2015",
month = jan,
day = "1",
doi = "10.5220/0005524600160026",
language = "English",
series = "Proceedings of ESaaSA 2015 - 2nd International Workshop on Emerging Software as a Service and Analytics, In conjuction with the 5th International Conference on Cloud Computing and Services Science - CLOSER 2015",
publisher = "SciTePress",
pages = "16--26",
editor = "Victor Chang and Muthu Ramachandran and Gary Wills and Robert Walters and Verena Kantere and Chung-Sheng Li",
booktitle = "Proceedings of ESaaSA 2015 - 2nd International Workshop on Emerging Software as a Service and Analytics, In conjuction with the 5th International Conference on Cloud Computing and Services Science - CLOSER 2015",
note = "2nd International Workshop on Emerging Software as a Service and Analytics, ESaaSA 2015 - In conjuction with the 5th International Conference on Cloud Computing and Services Science - CLOSER 2015 ; Conference date: 20-05-2015 Through 22-05-2015",
}