A Performance Comparison of Cloud-based Container Orchestration Tools

被引:14
|
作者
Pan, Yao [1 ]
Chen, Ian [1 ]
Brasileiro, Francisco [2 ]
Jayaputeral, Glenn [1 ]
Sinnott, Richard O. [1 ]
机构
[1] Univ Melbourne, Sch Comp & Informat Syst, Melbourne, Vic 3010, Australia
[2] Univ Fed Campina Grande, Dept Comp & Syst, Campina Grande, PB, Brazil
来源
2019 10TH IEEE INTERNATIONAL CONFERENCE ON BIG KNOWLEDGE (ICBK 2019) | 2019年
关键词
Kubernetes; Docker; Swarm; benchmarking; cloud computing;
D O I
10.1109/ICBK.2019.00033
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Compared to the traditional approach of using virtual machines as basis for the development and deployment of applications running in Cloud-based infrastructures, container technology provides developers with a higher degree of portability and availability, allowing developers to build and deploy their applications in a much more efficient and flexible manner. A number of tools have been proposed to orchestrate complex applications comprising multiple containers requiring continuous monitoring and management actions to meet application-oriented and non-functional requirements. Different container orchestration tools provide different features that incur different overheads. As such, it is not always easy for developers to choose the orchestration tool that will best suit their needs. In this paper we compare the benefits and overheads incurred by the most popular open source container orchestration tools currently available, namely: Kubernetes and Docker in Swarm mode. We undertake a number of benehmarking exercises from well-known benchmarking tools to evaluate the performance overheads of container orchestration tools and identify their pros and cons more generally. The results show that the overall performance of Kubernetes is slightly worse than that of Docker in Swam mode. However, Docker in Swarm mode is not as flexible or powerful as Kubernetes in more complex situations.
引用
收藏
页码:181 / 188
页数:8
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