Exploiting Container-Based Microservices forReliable Smart Mobility Applications

Author:

Sisinni E.1,Flammini A.1,Gaffurini M.1,Ferrari P.1

Affiliation:

1. University of Brescia, Brescia, Italy

Abstract

Smart mobility is emerging, addressing heterogeneous scenarios with high impact on technology infrastructures, solutions, and people. Safety and availability are mandatory, forcing the design of new reliable services for localization, health monitoring of the user, maintenance of vehicle, and protection of the environment. This paper proposes a container-based microservice approach to the edge computing in IoT smart mobility scenarios. Since smart mobility backends must manage a large heterogeneity of applications, the proposed approach is promising with respect to the classical solutions (based on "monolithic hardware+software" devices), from the point of view of flexibility, upgradability, security, scalability, and reliability. A demo use case, based on industry-grade hardware and Docker, has been realized and multiple implementations of the same services have been executed in parallel, showing strong independence between them. Moreover, average delays of less than 10 ms are obtained, confirming the usability in several smart mobility (and smart city) applications.

Publisher

Association for Computing Machinery (ACM)

Reference15 articles.

1. The transition to autonomous cars, the redesign of cities and the future of urban sustainability

2. Smart city as a tool for sustainable mobility and transport decarbonisation

3. A paradigm shift in urban mobility: Policy insights from travel before and after COVID-19 to seize the opportunity

4. The Promise of Edge Computing

5. P. Ferrari et al., "Performance evaluation of full-cloud and edge-cloud architectures for Industrial IoT anomaly detection based on deep learning", IEEE Metrology for Industry 4.0 and IoT, Naples, Italy, 2019, pp. 420--425, 2019.

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