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Posted to commits@airavata.apache.org by he...@apache.org on 2011/12/22 05:48:00 UTC

svn commit: r1222030 - /incubator/airavata/site/trunk/content/airavata/documentation/system/interesting-workflow-samples.mdtext

Author: heshan
Date: Thu Dec 22 04:48:00 2011
New Revision: 1222030

URL: http://svn.apache.org/viewvc?rev=1222030&view=rev
Log:
Updating the interesting-workflow-samples page.

Modified:
    incubator/airavata/site/trunk/content/airavata/documentation/system/interesting-workflow-samples.mdtext

Modified: incubator/airavata/site/trunk/content/airavata/documentation/system/interesting-workflow-samples.mdtext
URL: http://svn.apache.org/viewvc/incubator/airavata/site/trunk/content/airavata/documentation/system/interesting-workflow-samples.mdtext?rev=1222030&r1=1222029&r2=1222030&view=diff
==============================================================================
--- incubator/airavata/site/trunk/content/airavata/documentation/system/interesting-workflow-samples.mdtext (original)
+++ incubator/airavata/site/trunk/content/airavata/documentation/system/interesting-workflow-samples.mdtext Thu Dec 22 04:48:00 2011
@@ -66,15 +66,15 @@ eg. Assume that you selected the SimpleM
 
   - Similarly, other workflows can be executed.
 
-##Tutorial
-#Basic samples
+##Workflow Samples
+###Basic samples
 1. SimpleMath workflow
   - This workflow will start with 4 input nodes. Then the results will be handed over to another 2 nodes which will then hand over the results to another node. The last node will output the result of the operation. All the nodes considered are doing addition operations.
 
 2. ComplexMath workflow
   - This workflow will start with 4 nodes which are doing addition operations. Then the outputs(results) will be handed over to another 2 nodes which are doing multiplication operation. The results of the multiplications are handed over to another node. The last node will do addition operation on the input data and output the resulting value.
 
-#Advanced Samples
+###Advanced Samples
 
 XBaya support Parametric Sweeps which can be used to tackle uncertainty of inputs to a workflow. It supports, Cartesian product and Dot product of inputs.