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DITAS: Unleashing the Potential of Fog Computing to Improve Data-Intensive Applications

Part of the Communications in Computer and Information Science book series (CCIS,volume 824)

Abstract

Although it has been initially introduced in the telecommunication domain by Cisco [1], Fog Computing is recently emerging as a hot topic also in the software domain, and especially for data-intensive applications (DIA), with the goal of creating a continuum between the resources living on the Cloud and the ones living on the Edge [3]. In fact, especially because of the significant increasing of smart devices connected to the Internet (e.g., smartphones, raspberry PI), operators at the edge of the network are no longer considered as content consumers but also content providers, i.e., the so called prosumers. This new scenario implies a paradigm shift and the Fog Computing is contributing to it, by considering Cloud and Edge parts of the same platform.

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Notes

  1. 1.

    http://www.ditas-project.eu.

  2. 2.

    http://www.nodered.org.

  3. 3.

    https://docs.docker.com/engine/swarm/; https://kubernetes.io.

References

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  3. OpenFog Consortium Architecture Working Group: OpenFog Architecture Overview, February 2016. http://www.openfogconsortium.org/ra

  4. Plebani, P., García-Pérez, D., Anderson, M., Bermbach, D., Cappiello, C., Kat, R.I., Pallas, F., Pernici, B., Tai, S., Vitali, M.: Information logistics and fog computing: the DITAS* approach. In: Proceedings of the CAiSE Forum, Essen, Germany, June 2017

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  5. Shi, W., Cao, J., Zhang, Q., Li, Y., Xu, L.: Edge computing: vision and challenges. IEEE Internet Things J. 3(5), 637–646 (2016)

    CrossRef  Google Scholar 

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Acknowledgments

DITAS project is funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement RIA 731945.

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Correspondence to Pierluigi Plebani .

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Plebani, P. et al. (2018). DITAS: Unleashing the Potential of Fog Computing to Improve Data-Intensive Applications. In: Mann, Z., Stolz, V. (eds) Advances in Service-Oriented and Cloud Computing. ESOCC 2017. Communications in Computer and Information Science, vol 824. Springer, Cham. https://doi.org/10.1007/978-3-319-79090-9_11

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  • DOI: https://doi.org/10.1007/978-3-319-79090-9_11

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