Abstract
Container-based virtualization is one of the prominent technologies in the cloud computing. Containers virtualize at the operating system level which provides a lightweight operation than traditional virtualization on a hypervisor. The combination of the Internet of Things (IoT), edge computing and container-based virtualization is going to make system rapid, inexpensive, and more reliable. In this paper, we intend to implement a complete set of edge computing architectures based on containerization on an IoT environment. In this case, we implemented container-based virtualization which constructs Kubernetes Minion (Nodes) in the Docker container service independently for each service on the Edge side. We used humidity and temperature sensory data as our case study. We set up the Raspberry Pi on the Edge Gateway and Kubernetes minion on the Raspberry Pi to provide the service application, which contains Grafana, the open platform for analytics and monitoring. For short-term data storage, we use InfluxDB as a data store for large amounts of time-series data.
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References
Varghese, B., Buyya, R.: Next generation cloud computing: new trends and research directions. Futur. Gener. Comput. Syst. 79, 849–861 (2018)
Kristiani, E., Yang, C.-T., Wang, Y.T., Huang, C.-Y.: Implementation of an edge computing architecture using openstack and kubernetes. In: Kim, K.J., Baek, N. (eds.) ICISA 2018. LNEE, vol. 514, pp. 675–685. Springer, Singapore (2019). https://doi.org/10.1007/978-981-13-1056-0_66
Grafana (2018). https://grafana.com/
Influxdb (2018). https://www.influxdata.com/
Špaček, F., Sohlich, R., Dulk, T.: Docker as platform for assignments evaluation. Energy Procedia, 1665–1671 (2015)
Build, ship and run any app, anywhere (2015). https://www.docker.com/
Docker (software) (2015). http://en.wikipedia.org/wiki/Docker%28software%29
Liu, D., Zhao, L.: The research and implementation of cloud computing platform based on docker. In: 2014 11th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), pp. 475–478 (2014)
Felter, W., Ferreira, A., Rajamony, R., Rubio, J.: An updated performance comparison of virtual machines and linux containers. In: 2015 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), pp. 171–172 (2015)
Nakagawa, G., Oikawa, S.: Behavior-based memory resource management for container-based virtualization. In: Proceedings of 4th International Conference on Applied Computing and Information Technology, 3rd International Conference on Computational Science/Intelligence and Applied Informatics, 1st International Conference on Big Data, Cloud Computing, Data Science and Engineering, ACIT-CSII-BCD 2016, pp. 213–217 (2016)
Soltesz, S., Pötzl, H., Fiuczynski, M.E., Bavier, A., Peterson, L.: Container-based operating system virtualization: a scalable, high-performance alternative to hypervisors. In: Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems 2007, pp. 275–287 (2007)
Kubernetes (2017). https://kubernetes.io/
Ahmed, E., Rehmani, M.H.: Mobile edge computing: opportunities, solutions, and challenges (2017)
China Venkanna Varma, P., Kalyan Chakravarthy, K.V., Valli Kumari, V., Viswanadha Raju, S.: Analysis of network IO performance in hadoop cluster environments based on docker containers. In: Pant, M., Deep, K., Bansal, J.C., Nagar, A., Das, K.N. (eds.) Proceedings of Fifth International Conference on Soft Computing for Problem Solving. AISC, vol. 437, pp. 227–237. Springer, Singapore (2016). https://doi.org/10.1007/978-981-10-0451-3_22
Acknowledgment
This work was supported in part by the Ministry of Science and Technology, Taiwan R.O.C., under grants number 107-2221-E-029-008-.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Kristiani, E., Yang, CT., Wang, YT., Huang, CY., Ko, PC. (2019). Container-Based Virtualization for Real-Time Data Streaming Processing on the Edge Computing Architecture. In: Chen, JL., Pang, AC., Deng, DJ., Lin, CC. (eds) Wireless Internet. WICON 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 264. Springer, Cham. https://doi.org/10.1007/978-3-030-06158-6_21
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DOI: https://doi.org/10.1007/978-3-030-06158-6_21
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