Updated README.

Signed-off-by: Da K. Ma <klaus1982.cn@gmail.com>

README.md

@@ -1,4 +1,6 @@
-# Volcano
+![volcano-logo](docs/images/volcano-logo.png)
+
+-------
 
 [![Build Status](https://travis-ci.org/volcano-sh/volcano.svg?branch=master)](https://travis-ci.org/volcano-sh/volcano)
 [![Go Report Card](https://goreportcard.com/badge/github.com/volcano-sh/volcano)](https://goreportcard.com/report/github.com/volcano-sh/volcano)
@@ -21,19 +23,26 @@ frameworks like Tensorflow, Spark, PyTorch, MPI, etc, which Volcano integrates w
 
 Some examples of the mechanisms and features that Volcano adds to Kubernetes are:
 
-1. Scheduling extensions, e.g:
+1. Job management extensions and improvements, e.g:
+    1. Multi-pod jobs
+    2. Lifecycle management extensions including suspend/resume and
+       restart.
+    3. Improved error handling
+    4. Indexed jobs
+    5. Task dependencies
+2. Scheduling extensions, e.g:
     1. Co-scheduling
     2. Fair-share scheduling
     3. Queue scheduling
     4. Preemption and reclaims
     5. Reservartions and backfills
     6. Topology-based scheduling
-1. Job management extensions and improvements, e.g:
-    1. Multi-pod jobs
-    1. Improved error handling
-    1. Indexed jobs
-1. Others (in upstream)
-    1. Optimizations for throughput, round-trip latency, etc.
+3. Runtime extensions, e.g:
+    1. Support for specialized continer runtimes like Singularity,
+       with GPU accelerator extensions and enhanced security features.
+4. Other
+    1. Data locality awareness and intelligent scheduling
+    2. Optimizations for data throughput, round-trip latency, etc.
 
 Volcano builds upon a decade and a half of experience running a wide
 variety of high performance workloads at scale using several systems