[Doc] add the core application scenario description

Signed-off-by: NWangpan <aspirer2004@gmail.com>

README.md

@@ -48,6 +48,17 @@
 
 **Curve** is a mordern storage system developed by netease, currently supporting file storage(CurveFS) and block storage(CurveBS). Now it's hosted at [CNCF](https://www.cncf.io/) as a sandbox project.
 
+The core application scenarios of CurveBS mainly include:
+- the performance, mixed, capacity cloud disk or persistent volume of virtual machine/container, and remote disks of physical machines
+- high-performance separation of storage and computation architecture: high-performance and low latency architecture based on RDMA+SPDK, supporting the separation deployment structure of various databases such as MySQL and Kafka
+
+
+The core application scenarios of CurveFS mainly include:
+- the cost-effective storage in AI training scene
+- the hot and cold data automation layered storage in big data scenarios
+- the cost-effective shared file storage on the public cloud: It can be used for business scenarios such as AI, big data, file sharing
+- Hybrid storage: Hot data is stored in the local IDC, cold data is stored in public cloud
+
 <details>
   <summary><b><font=5>High Performance | More stable | Easy Operation | Cloud Native</b></font></summary>
 

README_cn.md

@@ -48,6 +48,18 @@
 ##  关于 Curve
 **Curve** 是网易主导自研的现代化存储系统, 目前支持文件存储(CurveFS)和块存储(CurveBS)。现作为沙箱项目托管于[CNCF](https://www.cncf.io/)。
 
+CurveBS的核心应用场景主要包括：
+- 虚拟机/容器的性能型、混合型、容量型云盘或持久化卷，以及物理机的远程存储盘
+- 高性能存算分离架构：基于RDMA+SPDK的高性能低时延架构，支撑MySQL、kafka等各类数据库、中间件的存算分离部署架构，提升实例交付效率和资源利用率
+
+
+CurveFS的核心应用场景主要包括：
+- AI训练（含机器学习等）场景下的高性价比存储
+- 大数据场景下的冷热数据自动化分层存储
+- 公有云上高性价比的共享文件存储：可用于AI、大数据、文件共享等业务场景
+- 混合云存储：热数据存储在本地IDC，冷数据存储在公有云
+
+
 <details>
   <summary><b><font=5>高性能 | 更稳定 | 易运维 | 云原生</b></font></summary>