Abstract
The dynamic environment applications are the approaches for the construction of distributed business framework. The quality of service (QoS) banks of these systems of these systems depends on the Web services (WS) and Internet associations. Outlining productive and viable reliability prediction of WS have turned into an imperative issue. This paper focuses reliability of systems by using hidden Markov model (HMM) for the modeling of failure and prediction of Web service reliability. The forward--backward estimation-maximization is used to estimate the modeling parameters of HMM and by using Bayesian Information Criterion (BIC), model selection is done. The favorable circumstances and disadvantages of this approach concerning regular modeling are examined. Examination of these models is done on real Web service data. Regarding reliability prediction, the hidden Markov model performs better with respect to other regular models.
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Allagi, S., Surasura, P. (2021). Predicting Reliability of Web Services Using Hidden Markov Model. In: Bhateja, V., Peng, SL., Satapathy, S.C., Zhang, YD. (eds) Evolution in Computational Intelligence. Advances in Intelligent Systems and Computing, vol 1176. Springer, Singapore. https://doi.org/10.1007/978-981-15-5788-0_16
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DOI: https://doi.org/10.1007/978-981-15-5788-0_16
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