Abstract
As the technology is rapidly evolving, the society as a whole is gradually surrounding by the Internet. In such a high connectivity scenario, the recently coined IoT concept becomes a commodity driving data generation rate to increase swiftly. To process and manage these data in an efficient way, a new strategy, referred to as Fog-to-Clod (F2C), has been recently proposed leveraging two existing technologies, fog computing and cloud computing, where resources are playing a pivotal role to manage data efficiently. In these scenarios, vast numbers of interconnected heterogeneous devices coexist, thus crafting a complex set of devices. Managing efficiently these devices requires a proper resources classification and organization. In this paper, we offer a model to classify and taxonomies the whole set of resources aimed to best suit the Fog-to-Cloud (F2C) paradigm.
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Acknowledgment
This work was supported by the Spanish Ministry of Economy and Competitiveness and the European Regional Development Fund, under contract TEC2015-66220-R(MINECO/FEDER), and by the H2020 EU mF2C project reference 730929.
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Sengupta, S., Garcia, J., Masip-Bruin, X. (2019). Taxonomy and Resource Modeling in Combined Fog-to-Cloud Systems. In: Arai, K., Bhatia, R., Kapoor, S. (eds) Proceedings of the Future Technologies Conference (FTC) 2018. FTC 2018. Advances in Intelligent Systems and Computing, vol 880. Springer, Cham. https://doi.org/10.1007/978-3-030-02686-8_52
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DOI: https://doi.org/10.1007/978-3-030-02686-8_52
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