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2020 | OriginalPaper | Buchkapitel

Generalized Dynamic Multilayer Fog Computing Architecture

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Abstract

The concept of Smart city and Smart Home is a promising and challenging one which defines the future of urban infrastructure development by integrating the Internet of Things (IoT) with Cloud Computing. Fog Computing with its latest framework on multilayering where each layer focuses on the different aspect of the architecture has proven useful in its goal to reduce space, time and computation overhead from cloud perspectives, due to its traffic offloading and edge device proximity for computation. But, a need for platform generalization and dynamic behavior still exists as most of the smart home needs to operate in multiple environments whereas the existing system mainly works on a rigid model with single infrastructure support. In this paper, a modified version of multilayer fog architecture has been proposed with scope for generalization and dynamic operation in terms of data management and placement. The proposed system consists of five sections - the Lower Fog Layer for end device collection operation and prioritization, Dockerized Middle Layer for node-specific operations like event detection and filtered data propagation, ICFN (Interconnecting Fog Node) Layer for interconnecting fog nodes, Cloud Server for data analytics and Fog Maintenance Remote Server for platform customization. The additional platform customization and multiple service support in the proposed architecture have also made significant improvements with regards to data distribution, request bandwidth, and request failure rate.

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Literatur
1.
Zurück zum Zitat Wang, T., Zhou, J., Chen, X., Wang, G., Liu, A., Liu, Y.: A three-layer privacy preserving cloud storage scheme based on computational intelligence in fog computing. IEEE Trans. Emerg. Top. Comput. Intell. 2(1), 3–12 (2018)CrossRef Wang, T., Zhou, J., Chen, X., Wang, G., Liu, A., Liu, Y.: A three-layer privacy preserving cloud storage scheme based on computational intelligence in fog computing. IEEE Trans. Emerg. Top. Comput. Intell. 2(1), 3–12 (2018)CrossRef
2.
Zurück zum Zitat Deng, R., Lu, R., Lai, C., Luan, T.H., Liang, H.: Optimal workload allocation in fog-cloud computing toward balanced delay and power consumption. IEEE Internet Things J. 3(6), 1171–1181 (2016) Deng, R., Lu, R., Lai, C., Luan, T.H., Liang, H.: Optimal workload allocation in fog-cloud computing toward balanced delay and power consumption. IEEE Internet Things J. 3(6), 1171–1181 (2016)
3.
Zurück zum Zitat Singh, S.P., Nayyar, A., Kumar, R., Sharma, A.: Fog computing: from architecture to edge computing and big data processing. J. Supercomput. 75, 2070–2105 (2018)CrossRef Singh, S.P., Nayyar, A., Kumar, R., Sharma, A.: Fog computing: from architecture to edge computing and big data processing. J. Supercomput. 75, 2070–2105 (2018)CrossRef
4.
Zurück zum Zitat Raafat, H.M., Hossain, M.S., Essa, E., Elmougy, S., Tolba, A.S., Muhammad, G., Ghoneim, A.: Fog intelligence for real-time iot sensor data analytics. IEEE Access 5, 24062–24069 (2017)CrossRef Raafat, H.M., Hossain, M.S., Essa, E., Elmougy, S., Tolba, A.S., Muhammad, G., Ghoneim, A.: Fog intelligence for real-time iot sensor data analytics. IEEE Access 5, 24062–24069 (2017)CrossRef
5.
Zurück zum Zitat Cisco: White paper: Fog computing and the internet of things: extend the cloud to where the things are. Technical report, Cisco Systems Inc., San Jose, CA (4 2015) Cisco: White paper: Fog computing and the internet of things: extend the cloud to where the things are. Technical report, Cisco Systems Inc., San Jose, CA (4 2015)
6.
Zurück zum Zitat Tang, B., Chen, Z., Hefferman, G., Pei, S., Wei, T., He, H., Yang, Q.: Incorporating intelligence in fog computing for big data analysis in smart cities. IEEE Trans. Ind. Inf. 13(5), 2140–2150 (2017)CrossRef Tang, B., Chen, Z., Hefferman, G., Pei, S., Wei, T., He, H., Yang, Q.: Incorporating intelligence in fog computing for big data analysis in smart cities. IEEE Trans. Ind. Inf. 13(5), 2140–2150 (2017)CrossRef
7.
Zurück zum Zitat Bachman, K.: Design and Implementation of a Fog Computing Framework. Master’s thesis, Technical University of Vienna, A-1040 Wien Karlsplatz 13, thesis in Software Engineering and Internet Computing, Technical University of Vienna, Reg no: 1126001, February 2017 Bachman, K.: Design and Implementation of a Fog Computing Framework. Master’s thesis, Technical University of Vienna, A-1040 Wien Karlsplatz 13, thesis in Software Engineering and Internet Computing, Technical University of Vienna, Reg no: 1126001, February 2017
8.
Zurück zum Zitat Yu, R., Xue, G., Zhang, X.: Application provisioning in fog computing-enabled internet-of-things: a network perspective, pp. 783–791, April 2018 Yu, R., Xue, G., Zhang, X.: Application provisioning in fog computing-enabled internet-of-things: a network perspective, pp. 783–791, April 2018
9.
Zurück zum Zitat Mayer, R., Gupta, H., Saurez, E., Ramachandran, U.: Fogstore: toward a distributed data store for fog computing. In: 2017 IEEE Fog World Congress (FWC), pp. 1–6 (2017) Mayer, R., Gupta, H., Saurez, E., Ramachandran, U.: Fogstore: toward a distributed data store for fog computing. In: 2017 IEEE Fog World Congress (FWC), pp. 1–6 (2017)
10.
Zurück zum Zitat Yin, L., Luo, J., Luo, H.: Tasks scheduling and resource allocation in fog computing based on containers for smart manufacturing. IEEE Trans. Ind. Inf. 14(10), 4712–4721 (2018)CrossRef Yin, L., Luo, J., Luo, H.: Tasks scheduling and resource allocation in fog computing based on containers for smart manufacturing. IEEE Trans. Ind. Inf. 14(10), 4712–4721 (2018)CrossRef
11.
Zurück zum Zitat Solórzano, A., Fonollosa, J., Marco, S.: Improving calibration of chemical gas sensors for fire detection using small scale setups. In: Multidisciplinary Digital Publishing Institute Proceedings, vol. 1, p. 453, August 2017CrossRef Solórzano, A., Fonollosa, J., Marco, S.: Improving calibration of chemical gas sensors for fire detection using small scale setups. In: Multidisciplinary Digital Publishing Institute Proceedings, vol. 1, p. 453, August 2017CrossRef
12.
Zurück zum Zitat Okay, F.Y., Özdemir, S.: A fog computing based smart grid model. In: 2016 International Symposium on Networks, Computers and Communications (ISNCC), pp. 1–6 (2016) Okay, F.Y., Özdemir, S.: A fog computing based smart grid model. In: 2016 International Symposium on Networks, Computers and Communications (ISNCC), pp. 1–6 (2016)
13.
Zurück zum Zitat Wang, Y., Chen, Q., Hong, T., Kang, C.: Review of smart meter data analytics: applications, methodologies, and challenges. IEEE Trans. Smart Grid 10(3), 3125–3148 (2018)CrossRef Wang, Y., Chen, Q., Hong, T., Kang, C.: Review of smart meter data analytics: applications, methodologies, and challenges. IEEE Trans. Smart Grid 10(3), 3125–3148 (2018)CrossRef
Metadaten
Titel
Generalized Dynamic Multilayer Fog Computing Architecture
verfasst von
K. P. Arjun
S. Mary Saira Bhanu
Copyright-Jahr
2020
DOI
https://doi.org/10.1007/978-3-030-39875-0_28