DRS: A deep reinforcement learning enhanced Kubernetes scheduler for microservice‐based system
Zhaolong Jian,
Xueshuo Xie,
Yaozheng Fang
et al.
Abstract:SummaryRecently, Kubernetes is widely used to manage and schedule the resources of microservices in cloud‐native distributed applications, as the most famous container orchestration framework. However, Kubernetes preferentially schedules microservices to nodes with rich and balanced CPU and memory resources on a single node. The native scheduler of Kubernetes, called Kube‐scheduler, may cause resource fragmentation and decrease resource utilization. In this paper, we propose a deep reinforcement learning enhan… Show more
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