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Mobility-Aware Proactive QoS Monitoring for Mobile Edge Computing

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Service-Oriented Computing (ICSOC 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13740))

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Abstract

This article presents a novel probabilistic QoS (Quality of Service) monitoring approach called LSTM-BSPM (DonLSTM-Den based BayeSian Runtime Proactive Monitoring), which is based on the DouLSTM-Den model and Gaussian Hidden Bayesian Classifier for mobile edge environments. A DouLSTM-Den model is designed to predict a user’s trajectory in mobile edge environments. The predicted trajectory is leveraged to obtain the mobility-aware QoS and capture its spatio-temporal dependency. Next, a parent attribute is constructed for each QoS attribute to reduce the influence of dependence between QoS attributes on monitoring accuracy. A Gaussian hidden Bayes classifier is trained for each edge server to proactively monitor the user’s mobility-aware QoS. We conduct a set of experiments respectively upon a public data set and a real-world data set demonstrate the feasibility and effectiveness of the proposed approach.

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Notes

  1. 1.

    https://github.com/tensorflow/tensorflow/tree/v2.4.0.

  2. 2.

    http://sguangwang.com/TelecomDataset.html.

  3. 3.

    http://wsdream.github.io/dataset/wsdream_dataset2.html.

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Acknowledgements

This work is funded by the National Natural Science Foundation of China under Grant (No. 62272145, No. U21B2016), the Natural Science Foundation of Jiangsu Province under grant No. BK20191297, the Fundamental Research Funds for the Central Universities under grant No. B210202075. This research was also partially supported by the Australian Government through the Australian Research Council’s Discovery Projects funding scheme (project DP220101823).

Author information

Authors and Affiliations

  1. College of Computing and Information, Hohai University, Nanjing, 211100, China

    Ting Wei, Pengcheng Zhang & Huiying Jin

  2. School of Computing Technologies, RMIT University, Melbourne, Australia

    Hai Dong

  3. School of Computer Science, The University of Sydney, Sydney, NSW, Australia

    Athman Bouguettaya

Authors
  1. Ting Wei
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  2. Pengcheng Zhang
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  3. Hai Dong
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  4. Huiying Jin
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  5. Athman Bouguettaya
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Corresponding author

Correspondence to Pengcheng Zhang .

Editor information

Editors and Affiliations

  1. University of Malaga, Málaga, Spain

    Javier Troya

  2. University of Michigan-Dearborn, Dearborn, MI, USA

    Brahim Medjahed

  3. University of Castilla-La Mancha, Ciudad Real, Spain

    Mario Piattini

  4. The University of New South Wales, Sydney, NSW, Australia

    Lina Yao

  5. University of Seville, Seville, Spain

    Pablo Fernández

  6. University of Seville, Seville, Spain

    Antonio Ruiz-Cortés

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Wei, T., Zhang, P., Dong, H., Jin, H., Bouguettaya, A. (2022). Mobility-Aware Proactive QoS Monitoring for Mobile Edge Computing. In: Troya, J., Medjahed, B., Piattini, M., Yao, L., Fernández, P., Ruiz-Cortés, A. (eds) Service-Oriented Computing. ICSOC 2022. Lecture Notes in Computer Science, vol 13740. Springer, Cham. https://doi.org/10.1007/978-3-031-20984-0_9

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  • DOI: https://doi.org/10.1007/978-3-031-20984-0_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-20983-3

  • Online ISBN: 978-3-031-20984-0

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