DASTData: a Fog-Cloud model for distributed storage and traceability of IoT data in Smart Cities

Authors

  • Daniel Lopes Ferreira Universidade do Vale do Rio dos Sinos (UNISINOS)
  • Rodrigo da Rosa Righi Universidade do Vale do Rio dos Sinos (UNISINOS) https://orcid.org/0000-0001-5080-7660
  • Vinicius Facco Rodrigues Universidade do Vale do Rio dos Sinos (UNISINOS)

DOI:

https://doi.org/10.5335/rbca.v15i2.14234

Keywords:

Data Sharding, Fog Computing, Cloud Computing, Smart Cities

Abstract

In this work, a solution for the distributed storage of data in Smart Cities is presented. An Edge-Fog-Cloud architecture that partitions the data through the Sharding technique proposes a hierarchical model that manipulates IoT data generated by Smart Cities. The problem is related to the approaches used to promote an integrated environment. Related works tend to use cloud-focused approaches that generate high latency rates, and those that use Fog Computing only use the layer as middleware, not exploring greater possibilities for use. In this context, this work presents the DASTData model that aims to enable lower latency rates, more data security, fault tolerance, high availability, and concurrent queries to promote a better experience in data management and availability in smart cities. In addition, our contribution to the literature is related to the proposition of an architecture focused on enabling the traceability of users who have mobile behavior in the city, providing the ability to analyze patterns and occurrences through the consolidation of data from one or more individuals. In the results obtained through the tests carried out in this work, we observed that in queries DASTData is up to 73% more efficient.

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Author Biography

  • Rodrigo da Rosa Righi, Universidade do Vale do Rio dos Sinos (UNISINOS)

    Rodrigo da Rosa Righi is professor and researcher at University of Vale do Rio dos Sinos (Unisinos), Brazil. Rodrigo concluded his post-doctoral studies at KAIST - Korean Advanced Institute of Science and Technology, South Korea, under the following topics: RFID and cloud computing. He obtained his MS and PhD degrees in Computer Science from the Federal University of Rio Grande do Sul, Brazil, in 2005 and 2009, respectively. During his doctorate, Rodrigo performed a stage at Tecnische Universitaet Berlin, Germany. His research interests include performance analysis, process scheduling and migration, load balancing and resource provisioning on Cluster, Grid and Cloud environments. In addition, he has expertise on mobile and embedded computing systems in which employ Linux or WinCE operating systems. Finally, he is a member of both IEEE Computer Society and ACM.

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Published

2023-07-27

Issue

Vol. 15 No. 2 (2023): July/2023

Section

Original Paper

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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How to Cite

[1]
2023. DASTData: a Fog-Cloud model for distributed storage and traceability of IoT data in Smart Cities. Brazilian Journal of Applied Computing. 15, 2 (Jul. 2023), 105–119. DOI:https://doi.org/10.5335/rbca.v15i2.14234.