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Scientific workflow management system for Condor - data files

The Pegasus project encompasses a set of technologies the help workflow-based applications execute in a number of different environments including desktops, campus clusters, grids, and now clouds. Scientific workflows allow users to easily express multi-step computations, for example retrieve data from a database, reformat the data, and run an analysis. Once an application is formalized as a workflow the Pegasus Workflow Management Service can map it onto available compute resources and execute the steps in appropriate order.

This package contains the user documentation.

Package version:4.0.1+dfsg-8


NetLogger Best Practices Monitoring events

As pegasus-monitord parses the various files in a workflow directory
(braindump, workflow-map, dagman.out file), it will generate NetLogger
events that can be used to populate a database using the Stampede
schema. All events have the "stampede." prefix.

As of 4/22/11 the "schema" for these is encoded using Yang


pegasus-wms (4.0.1+dfsg-8) unstable; urgency=low

  * Improved the fix for a Python 2.7.3 problem where urlparse does not have
    an attribute named uses_query anymore. The problem was reported in bug
    #682148. The previously applied fix still printed a one line debugging
    message, which with this upload, is now removed.

 -- Mats Rynge <>  Mon, 20 Aug 2012 13:30:44 -0700



The package was downloaded from:

Upstream Author:

    Pegasus Development Team

Copyright and license:

#  Copyright 2007-2011 University Of Southern California
#  Licensed under the Apache License, Version 2.0 (the "License");
#  you may not use this file except in compliance with the License.
#  You may obtain a copy of the Licen

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