Application of Docker Container in Intelligent Traffic Cloud
In intelligent traffic system based on traditional cloud computing technology, the virtual machine is used to provide application services. However, it has quite a few disadvantages, such as low resource utilization, high management complexity, and complicated migration processes because an entire operating system needs to be installed in the virtual machine. Docker, a lightweight operating system-level virtual technology, is introduced to construct the PaaS (Platform as a Service) layer that as the container cloud platform supports the applications of SaaS (Software as a Service) layer and provides application resiliency in application-centric mode through the unified service set. On the test cloud platform, the same applications are deployed in the virtual machine and the Docker, respectively, the utilization of CPU and memory, the Docker lived in is only 10–15% compared to the virtual machine, and the time to migrate a resource is only 8–10% compared to the virtual machine. Therefore, the Docker is more suitable to establish intelligent traffic cloud.
KeywordsIntelligent traffic cloud Cloud computing Linux container Docker
This work was supported by the Natural Science Foundation of China under Grant No. 51668043 and No. 61262016, CERNET Innovation Project under Grant No. NGII20160311 and NGII20160112.
- 1.Na Zhao, Jiabin Yuan, Han Xu (2014) Survey on intelligent transportation system. Comput Sci 41(11):7–11Google Scholar
- 2.Ke Zhang, Tongyan Qi (2005) The latest achievements of Chinese national ITS architecture. J Transp Syst Eng Inf Technol 5(5):6–11Google Scholar
- 3.Mei D (2015) Research on model for traffic bottleneck guidance coordinated with traffic control based on cloud computing. Jilin University, 2015Google Scholar
- 4.Tang B (2015) Intelligent transportation system based on cloud computing. Nanjing University of Posts and Telecommunications, 2015Google Scholar
- 5.Docker Inc. What is Docker [EB/OL]. https://www.docker.com/what-docker, 2017,4,21
- 7.Zhejiang University Software Engineering Lab. Docker and Kubernetes under the Hood. Posts & Telecom Press, 2015Google Scholar