NetMARKS:基于服务网格的Kubernetes调度器

Lukasz Wojciechowski, Krzysztof Opasiak, Jakub Latusek, Maciej Wereski, Victor Morales, Taewan Kim, Moonki Hong
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引用次数: 29

摘要

容器技术已经彻底改变了软件的打包和运行方式。电信行业现在面临着5G转型的挑战,他们认为容器是实现敏捷基础设施的最佳方式,可以作为5G边缘应用的高吞吐量和低延迟的稳定基础。这些挑战使得性能敏感的容器化工作流的最佳调度变得越来越重要。同时,Kubernetes在各行各业的广泛采用使其成为容器编排的事实上的标准。已经进行了一些改进Kubernetes调度的尝试,但是现有的解决方案要么不尊重当前的调度规则,要么只考虑静态基础设施的观点。为了解决这个问题,我们提出了NetMARKS——Kubernetes pod调度的一种新方法,它使用Istio Service Mesh收集的动态网络指标。该解决方案在完全向后兼容的同时改进了Kubernetes的调度。我们使用不同的工作负载和处理布局验证了我们的解决方案。根据我们的分析,NetMARKS可以将应用程序响应时间减少37%,并以完全自动化的方式节省多达50%的节点间带宽。这一重大改进对于在5G用例中采用Kubernetes至关重要,特别是对于多访问边缘计算和机器对机器通信。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NetMARKS: Network Metrics-AwaRe Kubernetes Scheduler Powered by Service Mesh
Container technology has revolutionized the way software is being packaged and run. The telecommunications industry, now challenged with the 5G transformation, views containers as the best way to achieve agile infrastructure that can serve as a stable base for high throughput and low latency for 5G edge applications. These challenges make optimal scheduling of performance-sensitive containerized workflows a matter of emerging importance. Meanwhile, the wide adoption of Kubernetes across industries has placed it as a de-facto standard for container orchestration. Several attempts have been made to improve Kubernetes scheduling, but the existing solutions either do not respect current scheduling rules or only considered a static infrastructure viewpoint.To address this, we propose NetMARKS - a novel approach to Kubernetes pod scheduling that uses dynamic network metrics collected with Istio Service Mesh. This solution improves Kubernetes scheduling while being fully backward compatible. We validated our solution using different workloads and processing layouts. Based on our analysis, NetMARKS can reduce application response time up to 37 percent and save up to 50 percent of inter-node bandwidth in a fully automated manner. This significant improvement is crucial to Kubernetes adoption in 5G use cases, especially for multi-access edge computing and machine-to-machine communication.
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