실시간 자원 모니터링을 활용한 쿠버네티스 스케줄러 프레임워크 구현
Kubernetes scheduler Framework Implementation with Realtime Resource Monitoring
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초록
Kubernetes is one of the most widely used tool in cloud computing environments. It m anages POD as a basic operational unit, providing a isolated environments through container tech nology. Basically, its scheduler properly allocates POD, considering the utilizations of CPUs, mem ories and volumes on hosts. In our work, we develop a customized scheduling framework additio nally considering network resources. In the framework, we can monitor the dynamic variations of resources and make it possible to utilize the resources for the scheduler. This framework offers not only observing necessary information but also visualizing the data to scheduler for providing convenience.
Abstract
Kubernetes is one of the most widely used tool in cloud computing environments. It m anages POD as a basic operational unit, providing a isolated environments through container tech nology. Basically, its scheduler properly allocates POD, considering the utilizations of CPUs, mem ories and volumes on hosts. In our work, we develop a customized scheduling framework additio nally considering network resources. In the framework, we can monitor the dynamic variations of resources and make it possible to utilize the resources for the scheduler. This framework offers not only observing necessary information but also visualizing the data to scheduler for providing convenience.
참고문헌 (7)
- Kim Dongmin, "TOSCA-Based, Federation-Aware Cloud Orchestration for Kubernetes Container Platform", Applied Sciences, 9, pp.191~ (2019)
- Chia-Chen Chang, "A Kubernetes-based Monitoring Platform for Dynamic Cloud Resource Provisioning", GLOBECOM 2017-2017 IEEE Global Communications Conference, pp.1~6 (2017)
- Victor Medel, "Modelling Performance & Resource Management in Kubernetes", Proceedings of the 9th International Conference on Utility and Cloud Computing, pp.257~262 (2016)
- Elana Hashman, "Operating Within Normal Parameters: Monitoring Kubernetes", Proceedings of USENIX SRECON’19 (2019)