wangdatan commented on a change in pull request #106: YUNIKORN-41
URL: 
https://github.com/apache/incubator-yunikorn-core/pull/106#discussion_r395784054
 
 

 ##########
 File path: README.md
 ##########
 @@ -1,37 +1,44 @@
-# YuniKorn - A Universal Scheduler
+# Apache YuniKorn (incubating) - A Universal Scheduler
 
 ![Green 
Build](https://github.com/apache/incubator-yunikorn-core/workflows/Green%20Build/badge.svg)
 
 <img 
src="https://raw.githubusercontent.com/apache/incubator-yunikorn-core/master/docs/images/logo/yunikorn-logo-blue.png";
 width="200">
 
 ----
 
-YuniKorn is a light-weighted, universal resource scheduler for container 
orchestrator systems.
+Apache YuniKorn (incubating) is a light-weighted, universal resource scheduler 
for container orchestrator systems.
 It was created to achieve fine-grained resource sharing for various workloads 
efficiently on a large scale, multi-tenant,
 and cloud-native environment. YuniKorn brings a unified, cross-platform 
scheduling experience for mixed workloads consists
-of stateless batch workloads and stateful services. Support for but not 
limited to, YARN and Kubernetes.
+of stateless batch workloads and stateful services. 
+
+YuniKorn now supports K8s and can be deployed as a custom K8s scheduler. 
YuniKorn's architecture design also allows adding different
+shim layer and adopt to different ResourceManager implementation including 
Apache Hadoop YARN, or any other systems. 
 
 ## Architecture
 
 Following chart illustrates the high-level architecture of YuniKorn.
 
-![Architecture](docs/images/architecture.jpg)
+![Architecture](docs/images/architecture.png)
 
 YuniKorn consists of the following components spread over multiple code 
repositories.
 
 - _Scheduler core_: the brain of the scheduler, which makes placement 
decisions (Allocate container X on node Y)
   according to pre configured policies. See more in current repo 
[yunikorn-core](https://github.com/apache/incubator-yunikorn-core).
+  _Scheduler core_ is written in GoLang and implemented in a way to be 
agnostic to scheduler implementation.
 
 Review comment:
   The reason I add this because many people confused and ask: is it copy of 
YARN scheduling code? I will add it to the top level. 

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