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docs: fix typo in README
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Signed-off-by: 佑祎 <zzw261520@alibaba-inc.com>
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zwzhang0107 committed Nov 22, 2023
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Expand Up @@ -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.
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