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Posted to commits@airavata.apache.org by he...@apache.org on 2011/12/22 06:51:03 UTC
svn commit: r1222048 -
/incubator/airavata/site/trunk/content/airavata/documentation/system/interesting-workflow-samples.mdtext
Author: heshan
Date: Thu Dec 22 05:51:03 2011
New Revision: 1222048
URL: http://svn.apache.org/viewvc?rev=1222048&view=rev
Log:
Updating the samples tutorial.
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=1222048&r1=1222047&r2=1222048&view=diff
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--- 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 05:51:03 2011
@@ -76,14 +76,26 @@ eg. Assume that you selected the SimpleM
* 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.
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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.
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###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.
1. Levenshtein Distance workflow
- * This workflow will use Airavata's ForEach construct to calculate Levenshtein Distance of strings. This workflow will use cross product to calculate distance.
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+ * This workflow will use Airavata's ForEach construct to calculate Levenshtein Distance of strings. This workflow will use cross product to calculate distance.
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