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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Wang, S., Zhang, X., Zhang, Y., Wang, L., Yang, J., Wang, W.: A survey on mobile edge networks: convergence of computing, caching and communications. Access 5, 6757–6779 (2017)
Wang, S., Xu, J., Zhang, N., Liu, Y.: A survey on service migration in mobile edge computing. Access 6, 23511–23528 (2018)
Chan, K., Poernomo, I., Schmidt, H., Jayaputera, J.: A Model-oriented framework for runtime monitoring of nonfunctional properties. In: Reussner, R., Mayer, J., Stafford, J.A., Overhage, S., Becker, S., Schroeder, P.J. (eds.) QoSA/SOQUA -2005. LNCS, vol. 3712, pp. 38–52. Springer, Heidelberg (2005). https://doi.org/10.1007/11558569_5
Sammapun, U., Lee, I., Sokolsky, O., Regehr, J.: Statistical Runtime checking of probabilistic properties. In: Sokolsky, O., Taşıran, S. (eds.) RV 2007. LNCS, vol. 4839, pp. 164–175. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-77395-5_14
Billhardt, H., Hermoso, R., Ossowski, S., Centeno, R.: Trust-based service provider selection in open environments. In: SAC, pp. 1375–1380 (2007)
Grunske, L.: An effective sequential statistical test for probabilistic monitoring. Inf. Softw. Technol. 53(3), 190–199 (2011)
Zhu, Y., Xu, M., Zhang, P., Li, W., Leung, H.: Bayesian probabilistic monitor: a new and efficient probabilistic monitoring approach based on Bayesian statistics. In: QSIC-13, pp. 45–54, IEEE (2013)
Zhang, P., Zhuang, Y., Leung, H., Song, W., Zhou, Y.: A novel QoS monitoring approach sensitive to environmental factors. In: ICWS, pp. 145–152, IEEE (2015)
Zhang, P., Zhang, Y., Dong, H., Jin, H.: Mobility and dependence-aware QoS monitoring in mobile edge computing. IEEE Trans. Cloud. Comput. 9(3), 1143–1157 (2021)
Tommasi, F., De Luca, V., Melle, C.: QoS monitoring in real-time streaming overlays based on lock-free data structures. Multim. Tools Appl. 80(14), 20929–20970 (2021)
Najm, M., Patra, M., Tamarapalli, V.: An adaptive and dynamic allocation of delay-sensitive vehicular services in federated cloud. In: 2021 COMSNETS, pp. 97–100, IEEE (2021)
Zhang, P., Jin, H., He, Z., Leung, H., Song, W., Jiang, Y.: IGS-WBSRM: a time-aware web service QoS monitoring approach in dynamic environments. Inf. Softw. Technol. 96, 14–26 (2018)
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
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-031-20984-0_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-20983-3
Online ISBN: 978-3-031-20984-0
eBook Packages: Computer ScienceComputer Science (R0)