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November 13–15, 2018 - Shanghai, China
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To view the Chinese version of this schedule please go here.
请点击此处查看中文版本。

我们将为所有主题演讲和分组会议提供同声传译服务。
Simultaneous translation will be provided for all keynote and breakout sessions.
Wednesday, November 14 • 11:05 - 11:40
Kube-Arbitrator: A Batch System of Kubernetes - Da Ma, IBM & Ti Zhou

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Kubernetes started as a general purpose orchestration framework with a focus on serving jobs. But as it gains popularity, users want to run BigData and AI frameworks on Kubernetes, such as Spark, TensorFlow, etc. When running these batch processing frameworks in a multitenant system like Kubernetes, advanced scheduling features, e.g. fair-share scheduling, gang scheduling, become more important. In 2017, we launched a project into incubation, named kube-arbitrator, to provide policy-based resource scheduling for BigData and AI frameworks to meet these advanced scheduling and resource sharing requirements.

In this presentation, we will describe how we're trying to do batch scheduling in Kubernetes, and our journey building these components out of core.


Speakers
avatar for Da Ma

Da Ma

Expert, Huawei
Kubernetes Maintainer, SIG-Scheduling Co-Leader, Volcano leader. Jilin University master’s degree, majoring in grid computing and distributed system. After graduation, he focus on resource management, resource scheduling in distributed system. Kubernetes Maintainer,SIG-Scheduling联合负责人,kube-batch... Read More →
avatar for Ti Zhou

Ti Zhou

Software Architect, Baidu Inc
Ti Zhou, Kubernetes member, currently serves as software architect in Baidu Inc, focusing on PaddlePaddle Deep Learning Framework and Baidu Cloud Container Engine, helps developers to deploy cloud-native machine learning on private and public cloud.


Wednesday November 14, 2018 11:05 - 11:40
2F Room 3
  • Skill Level Any