Performance analysis of video streaming service migration using container orchestration

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Abstract

This paper proposes an implementation of container orchestration to accelerate the migration process from one cloud to another. The use of cloud computing as the infrastructure of a system is in high demand. Cloud computing has been adopted in the use of various applications that are very useful for organizations in establishing a system to reduce effort, cost, and time. The system that runs on the same cloud provider has disadvantages. If the cloud provider goes down, then all of the running services will be affected. Therefore, it is needed the solution to migrate the services to some containers with one controller. In this research, two types of architecture are compared, i.e. container orchestration architecture using Kubernetes and simple container architecture using Docker. We use Kubernetes since it is one of the most popular container orchestrators widely used in big company's productions. The results show that the container creating time average in the container orchestration architecture using Kubernetes is 26 times faster and the percentage average of resource usage on CPU utilization is 3.6 times smaller compared to simple container architecture using Docker.

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APA

Poetra, F. R., Prabowo, S., Karimah, S. A., & Prayogo, R. D. (2020). Performance analysis of video streaming service migration using container orchestration. In IOP Conference Series: Materials Science and Engineering (Vol. 830). Institute of Physics Publishing. https://doi.org/10.1088/1757-899X/830/2/022100

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