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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Bonomi, F., Milito, R., Zhu, J., Addepalli, S.: Fog computing and its role in the Internet of Things. In: Proceedings of the First Edition of the MCC Workshop on Mobile Cloud Computing, MCC 2012, pp. 13–16 (2012)
Cappiello, C., Pernici, B., Plebani, P., Vitali, M.: Utility-driven data management for data-intensive applications in fog environments. In: de Cesare, S., Frank, U. (eds.) ER 2017. LNCS, vol. 10651, pp. 216–226. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-70625-2_20
OpenFog Consortium Architecture Working Group: OpenFog Architecture Overview, February 2016. http://www.openfogconsortium.org/ra
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
Shi, W., Cao, J., Zhang, Q., Li, Y., Xu, L.: Edge computing: vision and challenges. IEEE Internet Things J. 3(5), 637–646 (2016)
Acknowledgments
DITAS project is funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement RIA 731945.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-79090-9_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-79089-3
Online ISBN: 978-3-319-79090-9
eBook Packages: Computer ScienceComputer Science (R0)