标签关联调度器:考虑多云和多租户环境中容器调度的业务需求

Luiz Fernando Altran, Guilherme Galante, M. Oyamada
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引用次数: 0

摘要

本文的目标是提供一种调度策略,在部署容器时解决一组客户特定的业务需求,目标是多用户和多云环境。这是通过扩展用于指定计算节点属性和应用程序需求的标签方案,以及通过将工作负载关联到具有最高亲和力的节点来实现的。通过为Kubernetes编排器实现一个自定义调度程序来验证该建议。自定义调度器在由25个节点组成的环境中进行了验证,这些节点分布在4个具有不同硬件配置和地理位置的提供者中。结果证实了我们的调度器在不同场景中的有效性,授予分配给每个应用程序的业务需求。
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Label-affinity-Scheduler: Considering Business Requirements in Container Scheduling for Multi-Cloud and Multi-Tenant Environments
The goal of this paper is to present a scheduling strategy that addresses a set of customer-specific business requirements when deploying containers, targeting multi-user and multi-cloud environments. This is done by extending the label scheme used to specify attributes for compute nodes and requirements for applications, and by associating workloads to the nodes with the highest affinity. The proposal is validated by implementing a custom scheduler for Kubernetes orchestrator. The custom scheduler was validated in an environment consisting of 25 nodes distributed across 4 providers with different hardware configurations and geographical locations. The results confirm the effectiveness of our scheduler in different scenarios, granting the business requirements assigned to each application.
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