Introduction
In this paper, we develop a QoS DIstribution Estimation Tool: QoSDIST for service compositions. QoSDIST has the following functions which distinguish it from existing QoS estimation approaches: (1) QoSDIST can generate much more accurate QoS probability distributions for component Web services than existing methods [1]; (2) When estimating the QoS probability distribution for a service composition, QoSDIST does not put any constraints on the representation of the QoSs of component Web services, i.e., the QoS of a component Web service can be in single value, discrete values with frequencies, standard statistical distribution, or any general distribution regardless of its shape, which can not be done by any existing approaches; (3) QoSDIST can deal with commonly used composition patterns, including loop with arbitrary exit points.
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References
Rosario, S., Benveniste, A., Haar, S., Jard, C.: Probabilistic qos and soft contracts for transaction-based web services orchestrations. IEEE Transactions on Services Computing 1(4), 187–200 (2008)
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Zheng, H., Yang, J., Zhao, W. (2010). A Tool for QoS Probability Distribution Estimation of Web Service Compositions. In: Meersman, R., Dillon, T., Herrero, P. (eds) On the Move to Meaningful Internet Systems: OTM 2010 Workshops. OTM 2010. Lecture Notes in Computer Science, vol 6428. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16961-8_6
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DOI: https://doi.org/10.1007/978-3-642-16961-8_6
Publisher Name: Springer, Berlin, Heidelberg
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