From 5ad88fcdd70d494e1ca15f036e62602e40b67ccb Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E4=BD=91=E7=A5=8E?= Date: Wed, 22 Nov 2023 20:41:38 +0800 Subject: [PATCH] docs: fix typo in README MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: 佑祎 --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index eef7d6f6..c31bd9d2 100644 --- a/README.md +++ b/README.md @@ -16,13 +16,13 @@ English | [简体中文](./README-zh_CN.md) ## Introduction Koordinator has supported hybrid orchestration workloads on Kubernetes, so that batch jobs can use the requested but unused resource -as `koord-batch` priority and `BE` QoS class to improve the cluster utilization. However, there still lots of applications +as `koord-batch` priority and `BE` QoS class to improve the cluster utilization. However, there are still lots of applications running beyond K8s such as Apache Haddop YARN. As a resource management platform in BigData ecosystem, YARN has supported numbers of computing engines including MapReduce, Spark, Flink, Presto, etc. In order to extend the co-location scenario of Koordinator, now the community has provided Hadoop YARN extended suits `Koordinator YARN Copilot` in BigData ecosystem, supporting running Hadoop YARN jobs by `koord-batch` resources with -other K8s pods. The `Koordinator YARN Copilot` has following characters: +other K8s pods. The `Koordinator YARN Copilot` has following characteristics: - Open-Source native: implement against open-sourced version of Hadoop YARN; so there is no hack inside YARN modules. - Unifed resource priority and QoS strategy: the suits aims to the `koord-batch` priority of Koordinator, and also managed by QoS strategies of koordlet.