update README: add screenshots and rearrange text

arcolife · Sep 21, 2015 · 930c275 · 930c275
1 parent 0940dce
commit 930c275
Showing 1 changed file with 56 additions and 52 deletions.
diff --git a/README.md b/README.md
@@ -1,33 +1,11 @@
 dockerComp
 ==========
 
-- Youtube Video Explaining this project:
-
-  [![Here's a video for DockerComp](http://img.youtube.com/vi/lIp2nrOnKFs/0.jpg)](http://www.youtube.com/watch?v=lIp2nrOnKFs)
-
-- [Click here](http://asciinema.org/a/13557) for Screencast for running just one script on client side. 
-
-
-**NOTES**
-
-- Demo link to be updated soon. 
-
-- In case you're curious how to go about running this from client side:
-
-  - So once the server is up and running, all one has to do is download and run installer.sh
-
-- Docker Image: ``` $ docker pull arcolife/docker_comp ``` (will be kept updated)
-
-
 **GOAL**
 
 To setup a basic prototype for distributed computing in docker. If time permits, add a complex 
 computing task.
 
-**FAQ**
-
-Refer to Wiki .. [click Here!](https://github.com/arcolife/dockerComp/wiki).
-
 **INTRODUCTION**
 
 For the purpose of Distributed (Scientific) Computing, scientists across the world have been 
@@ -42,35 +20,17 @@ overhead of starting up, as compared to Docker containers. Moreover, we don't ev
 to explain the difference between running more than one VM on a HostOS compared to 
 running multiple docker containers on that same machine! See the point? :)
 
-References: 
-
-     - http://www.rightscale.com/blog/sites/default/files/docker-containers-vms.png 
-     - http://en.wikipedia.org/wiki/Docker_%28software%29#cite_ref-3
-
-So, just to give you a context of this whole project, take a look at this project called
-[CernVM](http://cernvm.cern.ch/portal/). This is a really awesome project, developed to
-help collect CERN's LHC data and perform data analysis on a volunteer's computer or even on
-commercial clouds. Just imagine if the whole process of using VM was dockerized!    
-
-
-**FEATURES**
-
-- Can be used for:
-      - Image Processing
-      - General Data Analysis
-      - Scientific Computing
-      - CrowdSourcing projects.
-
-
-**FUTURE GOALS** 
-
-- Make this a pluggable dockerized distributed computing tool, where you just have to include 
-  a compution task (say, map-reduce) and make it send data to clients. The app should be able 
-  to handle the rest.
+- Youtube Video Explaining this project:
+
+  [![Here's a video for DockerComp](http://img.youtube.com/vi/lIp2nrOnKFs/0.jpg)](http://www.youtube.com/watch?v=lIp2nrOnKFs)
 
-- Benchmark results and compare with existing methodologies. 
+  [![Here's a current screenshot of installation and first run](https://arcolife.files.wordpress.com/2015/09/installation-and-first-contact.png)](https://arcolife.wordpress.com/2015/09/21/docker-global-hack-day-mania-dockercomp/)
+
+  [![Here's a current screenshot of client logs when server goes down: constant polling](https://arcolife.files.wordpress.com/2015/09/communicatio-and-outage.png)](https://arcolife.wordpress.com/2015/09/21/docker-global-hack-day-mania-dockercomp/)
+
+- [Click here](http://asciinema.org/a/13557) for Screencast for running just one script on client side. 
 
-**STEPS**
+**INSTALLATION**
 
 - Server side (src/server/):
 
@@ -94,6 +54,11 @@ commercial clouds. Just imagine if the whole process of using VM was dockerized!
 
 - Client side (src/client/):
 
+  - Note: For server side deployement (i.e., the server that basically is responsible for distributing data 
+      to clients), It has to be deployed somewhere and it's IP has to be provided in your `configuration` file. 
+      And then you may distribute the script `installer.sh` alongwith the `configuration` to the clients. 
+
+
   - Download [This Script](https://github.com/arcolife/dockerComp/raw/master/installer.sh) and run 
 
   ```$ ./installer.sh``` [configure your Server location for this script, as under `$DC_HOST` & `$DC_PORT` ]
@@ -107,9 +72,48 @@ included in the source code of this project root.
 
 Cheers! :)
 
-Note: For server side deployement (i.e., the server that basically is responsible for distributing data 
-      to clients), It has to be deployed somewhere and it's IP has to be provided in your installer.sh. 
-      And then you may distribute the script to the clients. 
+**NOTES**
+
+- Demo link to be updated soon. 
+
+- In case you're curious how to go about running this from client side:
+
+  - So once the server is up and running, all one has to do is download and run installer.sh
+
+- Docker Image: ``` $ docker pull arcolife/docker_comp ``` (will be kept updated)
+
+
+**FAQ**
+
+Refer to Wiki .. [click Here!](https://github.com/arcolife/dockerComp/wiki).
+
+References: 
+
+     - http://www.rightscale.com/blog/sites/default/files/docker-containers-vms.png 
+     - http://en.wikipedia.org/wiki/Docker_%28software%29#cite_ref-3
+
+So, just to give you a context of this whole project, take a look at this project called
+[CernVM](http://cernvm.cern.ch/portal/). This is a really awesome project, developed to
+help collect CERN's LHC data and perform data analysis on a volunteer's computer or even on
+commercial clouds. Just imagine if the whole process of using VM was dockerized!    
+
+
+**FEATURES**
+
+- Can be used for:
+      - Image Processing
+      - General Data Analysis
+      - Scientific Computing
+      - CrowdSourcing projects.
+
+
+**FUTURE GOALS** 
+
+- Make this a pluggable dockerized distributed computing tool, where you just have to include 
+  a compution task (say, map-reduce) and make it send data to clients. The app should be able 
+  to handle the rest.
+
+- Benchmark results and compare with existing methodologies. 
 
 **TESTS**