October 24, 2022 | Detroit, Michigan
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Monday, October 24 • 10:10am - 10:40am
Coordinate Workloads Colocation: QoS-Oriented Scheduling Enhancement on K8s - Zuowei Zhang & Tao Li, Alibaba Cloud

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Kubernetes provides well-defined QoS Classes on pod as guaranteed, burstable, and best-effort. Users can colocate different QoS workloads to achieve resource overcommitment and improve cluster utilization. However, with scale increasing and workloads diversified, some limitations are becoming more: · Lower QoS will be easily throttled or killed once node runs out of resources · The noisy neighbor problem effects the performance of latency-sensitive application · Local hot spots affect the global We implements Koordinator based on Kubernetes with several add-ons to provide QoS-oriented scheduling enhancements: · Definition of sub-QoS classes for complex workloads in co-location scenarios and compatible with the Kubernetes existing QoS semantics · Using dynamic metrics of nodes and pod to provide a more reliable model for resource overcommitment, including resource usage profile and micro metrics such as CPU scheduling, memory allocate latency · Applying fine-grained resource orchestration and isolation mechanism on node to solve the noisy neighbor problem and improve the efficiency of latency-sensitive workloads and batch jobs

avatar for Zuowei Zhang

Zuowei Zhang

Senior Engineer, Alibaba Cloud
Zuowei Zhang, senior engineer of Alibaba Cloud. He works in container service team, focusing on resource management in warehouse-scale computers by Kubenetes. Also, he has years of developing experience on distrubted system.
avatar for Tao Li

Tao Li

Senior Engineer, Alibaba Cloud
Tao Li, senior engineer of Alibaba Cloud. He works in container service team, focusing on cost optimization and ensuring runtime quality through scheduling in warehouse-scale, with years of developing experience in K8s scheduling.

Monday October 24, 2022 10:10am - 10:40am EDT
Room 252 AB