Abstract
Internet of Things (IoT) brings more than an explosive proliferation of endpoints. It is disruptive in several ways. In this chapter we examine those disruptions, and propose a hierarchical distributed architecture that extends from the edge of the network to the core nicknamed Fog Computing. In particular, we pay attention to a new dimension that IoT adds to Big Data and Analytics: a massively distributed number of sources at the edge.
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Notes
- 1.
The design of a good control policy for all scenarios is certainly a non-trivial task, beyond the scope of this discussion.
- 2.
Consistently with the “system view” of IoT we regard a Connected Vehicle, a manufacturing cell, etc. as end devices.
References
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Acknowledgments
This work would not have been possible without the support of our colleagues, mentioned here in alphabetical order: Hao Hu, Mythili S. Prabhu, and Rui Vaz.
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© 2014 Springer International Publishing Switzerland
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Bonomi, F., Milito, R., Natarajan, P., Zhu, J. (2014). Fog Computing: A Platform for Internet of Things and Analytics. In: Bessis, N., Dobre, C. (eds) Big Data and Internet of Things: A Roadmap for Smart Environments. Studies in Computational Intelligence, vol 546. Springer, Cham. https://doi.org/10.1007/978-3-319-05029-4_7
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DOI: https://doi.org/10.1007/978-3-319-05029-4_7
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