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Posted to commits@taverna.apache.org by bu...@apache.org on 2015/03/03 12:09:12 UTC
svn commit: r942107 - in /websites/staging/taverna/trunk: cgi-bin/ content/
content/introduction/what-is-a-workflow-management-system.html
Author: buildbot
Date: Tue Mar 3 11:09:12 2015
New Revision: 942107
Log:
Staging update by buildbot for taverna
Modified:
websites/staging/taverna/trunk/cgi-bin/ (props changed)
websites/staging/taverna/trunk/content/ (props changed)
websites/staging/taverna/trunk/content/introduction/what-is-a-workflow-management-system.html
Propchange: websites/staging/taverna/trunk/cgi-bin/
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Propchange: websites/staging/taverna/trunk/content/
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Modified: websites/staging/taverna/trunk/content/introduction/what-is-a-workflow-management-system.html
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--- websites/staging/taverna/trunk/content/introduction/what-is-a-workflow-management-system.html (original)
+++ websites/staging/taverna/trunk/content/introduction/what-is-a-workflow-management-system.html Tue Mar 3 11:09:12 2015
@@ -171,8 +171,10 @@ Instead it shows <a class="alert-link" h
</div>
- <div id="content"><p>Workflow Management System (WMS) is a piece of software that provides an infrastructure to setup, execute, and monitor <a href="/introduction/why-use-workflows.html">scientific workflows</a>.
-In other words, the WMS provide an environment where in <a href="/introduction/what-is-in-silico-experimentation.html">silico experiments</a> can be defined and executed.</p>
+ <div id="content"><p>Workflow Management System (WMS) is a piece of software that provides an infrastructure to setup, execute,
+ and monitor <a href="/introduction/why-use-workflows">scientific workflows</a>.
+In other words, the WMS provide an environment where in
+ <a href="/introduction/what-is-in-silico-experimentation">silico experiments</a> can be defined and executed.</p>
<p>An important function of an WMS during the workflow execution, or enactment, is the coordination of operation of individual components that constitute the workflow â the process also often referred to as orchestration.</p>
<p>As research becomes more data-intensive and more reliant on the use of computers, larger volumes of experimentation data are recorded quicker and with greater precision. This trend has spurred significant increase in complexity of scientific simulation software. Many tools only perform a small well-defined task, thus necessitating that several of them are joined in a pipeline to model a useful experiment.</p>
<p>Additional difficulties arise from the need to deal with the â¨incompatible data formats that various services produce or consume. â¨It is evident that considerable amount of computer science knowledge is required to overcome the â¨outlined problems; however, domain scientists across disciplines do not have sufficient relevant â¨expertise.</p>