updated figure & readme

README.md

@@ -7,7 +7,7 @@ Tibanna is a metadata-aware workflow engine that deploys and monitors CWL/Docker
 | [![Build Status](https://travis-ci.org/4dn-dcic/tibanna.svg?branch=master)](https://travis-ci.org/4dn-dcic/tibanna) | [![Code Quality](https://api.codacy.com/project/badge/Grade/d2946b5bc0704e5c9a4893426a7e0314)](https://www.codacy.com/app/4dn/tibanna?utm_source=github.com&utm_medium=referral&utm_content=4dn-dcic/tibanna&utm_campaign=Badge_Grade) | [![Test Coverage](https://api.codacy.com/project/badge/Coverage/d2946b5bc0704e5c9a4893426a7e0314)](https://www.codacy.com/app/4dn/tibanna?utm_source=github.com&utm_medium=referral&utm_content=4dn-dcic/tibanna&utm_campaign=Badge_Coverage) |
 
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-| <img src="images/tibanna_diagram_20180201.png" width=450> | <img src="images/Tibanna_AWSEM_diagram_20180130.png" width=350> |
+<img src="images/tibanna_diagram_20180202.png" width=450> 
 
 Tibanna is auto-triggered upon data submission to execute a relevant workflow on the data. It utilizes two-layer scheduling; an upstream regulator based on a state machine called AWS Step Function and a downstream workflow engine that runs Docker/CWL-based pipelines. Tibanna’s AWS Step Function launches several AWS Serverless Lambda functions that control workflow-related metadata generation/tracking and deployment of a workflow on a pre-custom-configured autonomous virtual machine (EC2 instance) (AWSEM; Autonomous Workflow Step Executor Machine).