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Workflow Proposals

Proposals should be submitted by Oct 24, 2008

For the Third Provenance Challenge the community will be using additional workflows beyond the brain imaging workflow used in the first two challenges. This page contains links to wiki pages describing the various candidate workflows that have been proposed by teams.

To teams submitting workflows, please place a link under the Candidate Workflows section below describing your submission. Remember to include a paragraph about why the workflow is particularly novel. At the OpenProvenanceModelWorkshop, we had proposed a number of review criteria including

However, if you don't have some of these things please submit anyway. If your workflow is interesting to the community, you can expand the definition when creating the final version for use in the challenge.

Candidate Workflows

Two workflows from myExperiment (Manchester)

Here are two workflows from the myExperiment collection. In keeping with the myExp, er, experiment, we have created a single myExp "pack" to hold all info relevant to these. The pack belongs to Paul Fisher but should be visible by anyone: link to proposed Manchester workflows pack

A brief description follows. I will add details to the pack if it turns out these are indeed interesting for the provenance challenge.

The two bioinformatics flows are related to each other, having to do with

they can be run independently, or the output from (1) can be piped into (2) for a composition that automates the entire process.

It should be mentioned that these flows were recently showcased at ISMB by Paul an other myGrid people.

The flows involve collection data manipulation (iterations, nesting/unnesting of collections), as well as sub-workflows (indeed, they are part of our own test suite for the Taverna provenance module).

The workflows can be downloaded and executed locally, but they do have dependencies on three web services:

Taverna makes these deps transparent to users, but clearly other implementations must be able to access these services. We found that it was not easy to find flows that are at the same time structurally interesting, realistic, and completely self-contained.

PaoloMissier? - 13 Aug 2008

Trident Workflows from Astronomy (Pan-STARRS) and Oceanography (NEPTUNE)

Microsoft Research and Kno.e.sis Center, WSU

We propose two candidate workflows from the Neptune and Pan-STARRS eScience projects at Microsoft Research for the provenance challenge. We briefly describe the two scenarios here, the detailed description of the workflows, figures and the novelty of the scenarios for the challenge are in the (pdf) document at: MSR-WSU-Challenge3.pdf

I. Oceanography Scenario (Neptune Project) Description: The Neptune project, led by the University of Washington (, is an ongoing initiative to create network of instruments widely distributed across, above, and below the seafloor in the northeast Pacific Ocean. We propose a simulated scenario involving collection of data by ocean buoys (containing a temperature sensor and an ocean current sensor) which is then sent as input to a scientific workflow for creation of a visualization chart as output.

II. Astronomy Scenario (Pan-STARRS Project) Description: The Panoramic Survey Telescope & Rapid Response System (Pan-STARRS) will perform a detailed survey of the visible universe and build a time series of astronomical detections to track moving objects. Microsoft Research is working with University of Hawaii and Johns Hopkins University to create the infrastructure to manage large data generated by Pan-STARRS (~30TB/year) [Simmhan et. al, 2008]. We propose two workflows from the Pan-STARRS project for the provenance challenge.

Resources for Pan-STARRS Workflows

[Simmhan et. al, 2008] GrayWulf?: Scalable Software Architecture for Data Intensive Computing. Yogesh Simmhan, Maria Nieto-Santisteban, Roger Barga, Tamas Budavari, Laszlo Dobos, Nolan Li, Michael Shipway, Alexander S. Szalay, Ani Thakar, Jan Vandenberg, Alainna Wonders, Sue Werner, Richard Wilton, Dan Fay, Michael Thomassy, Catharine van Ingen, Jim Heasley, Conrad Holdberg. Hawaii International Conference on System Sciences (HICSS), 2008.

-- YogeshSimmhan - 24 Oct 2008

Software build and testing (Luc and Paul)

I propose a simple workflow for building software systems. Specifically, I propose the ant file that compiles, builds and tests the OPM library in Java and Python. The ant build.xml file consists of a set of basic tasks (javac, xjc schema compiler, jar, testing) composed in two higher level targests build.all and test.all.

The build.all target creates directories, compiles the OPM Schema, compiles all java files, produces a JAR file (and similarly for python, compiles the OPM schema, generating a python file). The test.all. will invoke some JUnit testing (still to be written sorry :-(.

The reference workflow is written with ant, but it could also be expressed as a Makefile, if it helps other teams such as PASS or ES3.

Capturing the provenance of the jar files and test results, will allow us to identify the tests that failed in a previous build, that passed in the latest, and correlate them to changed source files.

-- LucMoreau - 27 Oct 2008

Brain Imaging Workflows (Utah)

Julian Freire and Erik Anderson

These workflows are use the VTK toolkit.

Brain_uncolored_cortex.xml - This workflow represents the a 3D visualization of an extracted cortex. It contains sensor information colored by alpha power as computed by the stockwell transform at a single instant in time. These values reside at the sensor locations and nowhere else.

Brain_3d_vis.xml - Using the above workflow, I take the scalar values from the sensors and use RBF interpolation to project them onto the cortical surface. Additionally, I also include the full 3D MRI to add contextual information to the visualization.

Brain_plot.xml - This workflow represents a single sensor's information as a plot of the raw data as well as a plane representing the stockwell transform of the signal given at the specific sensor. This plane is oriented such that the y-axis is the alpha frequency band (8-12 Hz) and the x-axis is time (in samples, for the lifetime of the signal)

Brain_final.xml - The culmination of the visualization representing the aggregation of the above workflows. This visualization combines Brain_plot with Brain_3d_vis and incorporates methods allowing them to interact with each other as the user picks various sensors.

-- PaulGroth - 12 Nov 2008


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I Attachment sort Action Size Date Who Comment
Pan-STARRS-LoadAndMergeWF.gif manage 77.7 K 24 Oct 2008 - 05:46 YogeshSimmhan Pan-STARRS Load and Merge Workflows
MSR-WSU-Challenge3.pdf manage 458.8 K 24 Oct 2008 - 05:49 YogeshSimmhan Provenance Challenge 3 workflow entries from Pan-STARRS and NEPTUNE
build.xml manage 3.0 K 27 Oct 2008 - 10:48 LucMoreau build file for OPM library
Brain_3d_vis.xml manage 43.8 K 12 Nov 2008 - 19:02 PaulGroth Brain imaging vis-trails workflow
Brain_final.xml manage 88.2 K 12 Nov 2008 - 19:03 PaulGroth Brain imaging vis-trails workflow
Brain_plot.xml manage 41.1 K 12 Nov 2008 - 19:04 PaulGroth Brain imaging vis-trails workflow
Brain_uncolored_cortex.xml manage 29.8 K 12 Nov 2008 - 19:04 PaulGroth Brain imaging vis-trails workflow

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