Edge-based microservices architecture for Internet of Things : mobility analysis case study |
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Author: | Leppänen, Teemu1; Savaglio, Claudio2; Lovén, Lauri1; |
Organizations: |
1Center for Ubiquitous Computing, University of Oulu, Finland 2Department of Informatics, Modeling, Electronics and Systems, University of Calabria, Italy |
Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 0.5 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe202003259262 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2020
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Publish Date: | 2020-03-25 |
Description: |
AbstractIn this paper, we describe how the microservices paradigm can be used to design and implement distributed edge services for Internet of Things applications. As a case study, traditionally monolithic user mobility analysis service is developed, with distributed and extendable microservices, for the standardized ETSI MEC system reference architecture. In each of the edge system three tiers, microservices implement the service logic with components for movement trace analysis, movement prediction and visualization of the results. The distributed service is implemented with Docker containers and evaluated on real-world settings with low capacity edge servers and real user mobility data. The results show that the edge promise of low latency can be met in such as implementation. The integration of a software development technology with a standardized edge system provides solid background for further development. see all
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Series: |
IEEE Global Communications Conference |
ISSN: | 2334-0983 |
ISSN-E: | 2576-6813 |
ISSN-L: | 2334-0983 |
ISBN: | 978-1-7281-0962-6 |
ISBN Print: | 978-1-7281-0963-3 |
Pages: | 1 - 7 |
DOI: | 10.1109/GLOBECOM38437.2019.9014273 |
OADOI: | https://oadoi.org/10.1109/GLOBECOM38437.2019.9014273 |
Host publication: |
2019 IEEE Global Communications Conference (GLOBECOM), December 9-14, Waikoloa, HI, USA |
Conference: |
IEEE Global Communications Conference |
Type of Publication: |
A4 Article in conference proceedings |
Field of Science: |
113 Computer and information sciences |
Subjects: | |
Funding: |
This research is financially supported by the AI-Enhanced Mobile Edge Computing -project, funded by the Future Makers program of Jane and Aatos Erkko Foundation and Technology Industries of Finland Centennial Foundation, and by the Academy of Finland 6Genesis Flagship (grant 318927). |
Academy of Finland Grant Number: |
318927 |
Detailed Information: |
318927 (Academy of Finland Funding decision) |
Copyright information: |
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