Refine Doc (#9)

README.md

@@ -7,7 +7,7 @@
 
 **HiveD is a scheduler for deep learning workloads.**
 
-It is designed to be a [Kubernetes Scheduler **Extender**](https://github.com/kubernetes/community/blob/master/contributors/design-proposals/scheduling/scheduler_extender.md) for **Multi-Tenant** **GPU** clusters. A multi-tenant GPU cluster assumes multiple tenants (teams) share the same GPU pool in a single physical cluster (PC) and provides some resource guarantees to each tenant. HiveD models each tenant as a virtual cluster (VC), so that one tenant can use its own VC as if it is a private cluster, while it can also use other VCs' free resource at lower priority. 
+As one standalone component of [Microsoft OpenPAI](https://github.com/microsoft/pai), HiveD is designed to be a [Kubernetes Scheduler **Extender**](https://github.com/kubernetes/community/blob/master/contributors/design-proposals/scheduling/scheduler_extender.md) for **Multi-Tenant** **GPU** clusters. A multi-tenant GPU cluster assumes multiple tenants (teams) share the same GPU pool in a single physical cluster (PC) and provides some resource guarantees to each tenant. HiveD models each tenant as a virtual cluster (VC), so that one tenant can use its own VC as if it is a private cluster, while it can also use other VCs' free resource at lower priority. 
 
 ## Why You Need HiveD