Abstract
A huge number of devices like sensors are interconnected in the IoT (Internet of Things). In order to reduce the traffic of networks and servers, the IoT is realized by the fog computing model. Here, data and processes to handle the data are distributed to not only servers but also fog nodes. In our previous studies, the tree-based fog computing (TBFC) model is proposed to reduce the total electric energy consumption. However, if a fog node is faulty, some sensor data cannot be processed in the TBFC model. In this paper, we propose a fault-tolerant TBFC (FTBFC) model. Here, we propose non-replication and replication FTBFC models to make fog nodes fault-tolerant. In the non-replication FTBFC model, another operational fog node takes over a faulty fog node. We evaluate the non-replication FTBFC models in terms of the electric energy consumption and execution time.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Arridha, R., Sukaridhoto, S., Pramadihanto, D., Funabiki, N.: Classification extension based on IOT-big data analytic for smart environment monitoring and analytic in real-time system. Int. J. Space-Based Situated Comput. (IJSSC) 7(2), 82–93 (2017). https://doi.org/10.1504/IJSSC.2017.10008038
Creeger, M.: Cloud computing: an overview. Queue 7(5), 3–4 (2009)
Defago, X., Schiper, A., Sergent, N.: Semi-passive replication. In: Proceedings of the IEEE 17th Symposium on Reliable Distributed Systems, pp. 43–50 (1998)
Hanes, D., Salgueiro, G., Grossetete, P., Barton, R., Henry, J.: IoT Fundamentals: Networking Technologies, Protocols, and use Cases for the Internet of Things. Cisco Press (2018)
Ito, K., Hirakawa, G., Arai, Y., Shibata, Y.: A road condition monitoring system using various sensor data in vehicle-to-vehicle communication environment. Int. J. Space-Based Situated Comput. (IJSSC) 6(1), 21–30 (2016). https://doi.org/10.1504/IJSSC.2016.076572
Messina, F., Mikkilineni, R., Morana, G.: Middleware, framework and novel computing models for grid and cloud service orchestration. Int. J. Grid Util. Comput. (IJGUC) 8(2), 71–73 (2017). https://doi.org/10.1504/IJGUC.2017.10006830
Oma, R., Nakamura, S., Duolikun, D., Enokido, T., Takizawa, M.: Evaluation of an energy-efficient tree-based model of fog computing. In: Proceedings of the 21st International Conference on Network-Based Information Systems (NBiS-2018) (accepted) (2018)
Oma, R., Nakamura, S., Enokido, T., Takizawa, M.: An energy-efficient model of fog and device nodes in IOT. In: Proceedings of IEEE the 32nd International Conference on Advanced Information Networking and Applications (AINA-2018), pp. 301–306 (2018)
Oma, R., Nakamura, S., Enokido, T., Takizawa, M.: A tree-based model of energy-efficient fog computing systems in IOT. In: Proceedings of the 12th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS-2018), pp. 991–1001 (2018)
Rahmani, A.M., Liljeberg, P., Preden, J.S., Jantsch, A.: Fog Computing in the Internet of Things. Springer, Berlin (2018)
Yao, X., Wang, L.: Design and implementation of IOT gateway based on embedded \(\mu \)tenux operating system. Int. J. Grid Util. Comput. 8(1), 22–28 (2017). https://doi.org/10.1504/IJGUC.2017.10008769
Zhao, F., Guibas, L.: Wireless Sensor Networks: An Information Processing Approach. Morgan Kaufmann Publishers, Amsterdam (2004)
Acknowledgements
This work was supported by JSPS KAKENHI grant number 15H0295.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Oma, R., Nakamura, S., Duolikun, D., Enokido, T., Takizawa, M. (2019). Fault-Tolerant Fog Computing Models in the IoT. In: Xhafa, F., Leu, FY., Ficco, M., Yang, CT. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 24. Springer, Cham. https://doi.org/10.1007/978-3-030-02607-3_2
Download citation
DOI: https://doi.org/10.1007/978-3-030-02607-3_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-02606-6
Online ISBN: 978-3-030-02607-3
eBook Packages: EngineeringEngineering (R0)