Abstract
This paper proposes a data management platform using a fog computing model. It enables to construct of dynamic user data plane adapted to diverse range and several kinds of functions for these users. In particular, this paper implements a sample recommendation application of movie information being able to control the data on fog nodes. However, this paper does not include the quantitative evaluation applying to application services.
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
Reuters: Facebook says data leak hits 87 million users, widening privacy scandal. https://www.reuters.com/article/us-facebook-privacy/facebook-says-data-leak-hits-87-million-users-widening-privacy-scandal-idUSKCN1HB2CM
New York Times: How Trump Consultants Exploited the Facebook Data of Millions. https://www.nytimes.com/2018/03/17/us/politics/cambridge-analytica-trump-campaign.html
Hashida, K.: Decentralized PDS and information bank total optimization of life and industry by ecentralized big data. Inf. Manag. 60(4), 251–260 (2017)
Alrawais, A., Alhothaily, A., Hu, C., Cheng, X.: Fog computing for the Internet of Things: security and privacy issues. IEEE Internet Comput. 21(2), 34–42 (2017)
Dubey, H., et al.: Fog computing in medical Internet-of-Things: architecture, implementation, and applications. In: Khan, Samee U., Zomaya, Albert Y., Abbas, Assad (eds.) Handbook of Large-Scale Distributed Computing in Smart Healthcare. SCC, pp. 281–321. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-58280-1_11
Tsuchiya, T., Miyosawa, T., Hirose, H., Koyanagi, K.: Virtualization model of a large logical database for diffused data by peer-to-peer cloud computing technology. In: Proceeding of the Thirteenth International Conference on Networks, February 2014
Yoshinaga, H., Tsuchiya, T., Koyanagi, K.: Scalable and persistent multimedia data management system using the distributed interval trees, In: Proceedings of Euro IMSA, pp. 86–92, July 2009
Node.js. https://nodejs.org/
Docker. https://www.docker.com/
MyAnimeListDataset. https://www.kaggle.com/azathoth42/myanimelist
Barkan, O., Koenigstein, N.: Item2Vec: neural item embedding for collaborative filtering. In: IEEE 26th International Workshop on Machine Learning for Signal Processing (2016)
Acknowledgement
This work was partly supported by MEXT KAKENHI Grant Number 17K01149.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Tsuchiya, T. et al. (2019). Dynamic Data Management Strategy on Cloud Network by Fog Computing Model. In: Dang, T., Küng, J., Takizawa, M., Bui, S. (eds) Future Data and Security Engineering. FDSE 2019. Lecture Notes in Computer Science(), vol 11814. Springer, Cham. https://doi.org/10.1007/978-3-030-35653-8_22
Download citation
DOI: https://doi.org/10.1007/978-3-030-35653-8_22
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-35652-1
Online ISBN: 978-3-030-35653-8
eBook Packages: Computer ScienceComputer Science (R0)