Rescheduling Strategy for Container Orchestration System to Improve Application Availability

Akhmad Alimudin; Rahardhita Widyatra Sudibyo

doi:10.25139/inform.v8i2.6220

Akhmad Alimudin Department of Multimedia Creative Technology, Politeknik Elektronika Negeri Surabaya
Rahardhita Widyatra Sudibyo Telecommunication Engineering, Politeknik Elektronika Negeri Surabaya

https://doi.org/10.25139/inform.v8i2.6220

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Keywords: Container Orchestration, Scheduling, Stable Matching, Quality Of Service

Abstract

Virtualization technologies such as containers have become increasingly popular and widely used today. Containers offer several advantages, such as flexibility, portability, and scalability. Container-supporting technologies such as container orchestration provide more advantages to container users to maintain the containers. One of the crucial features of container orchestration is the scheduler responsible for assigning containers to the proper server. However, container misplacement often occurs during the scheduling process, which may reduce the application's Quality of Service (QoS), such as availability. Multiple studies on scheduling strategies have been conducted with various goals, such as increasing application availability. To improve the application availability, we can reschedule the containers in the cluster. This study proposes a rescheduling strategy on the Kubernetes container orchestration system to improve the application available in the container. We use the probability approach as a solution for rescheduling actions in dynamic environments against containers that have an unhealthy state. Our experimental results show that our rescheduling strategy improves application availability compared with the Kubernetes default schedule. Rescheduling improves application availability according to experiments. After rescheduling, Kubernetes had a better application success rate. The chart demonstrates that the average success rate of applications for the threshold of 0.9 surpasses the other thresholds on average. In contrast, the availability of applications using the threshold 0f 0.7 is lower than the others. High thresholds improve application availability.

Author Biographies

Akhmad Alimudin, Department of Multimedia Creative Technology, Politeknik Elektronika Negeri Surabaya

Rahardhita Widyatra Sudibyo, Telecommunication Engineering, Politeknik Elektronika Negeri Surabaya

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