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Leveraging Windows Workflow Foundation for Scientific Workflows in Wind Tunnel Applications

Leveraging Windows Workflow Foundation for Scientific Workflows in Wind Tunnel Applications
Leveraging Windows Workflow Foundation for Scientific Workflows in Wind Tunnel Applications
Scientific and engineering experiments often produce large volumes of data that must be processed and visualised in near-realtime. An example of this, described in this paper, is microphone array processing of data from wind tunnels for aeroacoustic measurements. The overall turnaround time from data acquisition and movement, to data processing and visualization is often inhibited by factors such as manual data movement, system interoperability issues, manual resource discovery for job scheduling, and disparate physical locality between the experiment and scientist or engineer post-event. Workflow frameworks and runtimes can enable rapid composition and execution of complex scientific workflows. In this paper we explore two approaches based on Windows Workflow Foundation, a component of Microsoft WinFX. In our first approach, we present a framework for users to compose sequential workflows and access Globus grid services seamlessly using a .NET-based Commodity Grid Toolkit (MyCoG.NET). We demonstrate how application specific activity sets can be developed and extended by users. In our second approach we highlight how it can be advantageous to keep databases as central to the complete workflow enactment. These two approaches are demonstrated in the context of a wind tunnel Grid system being developed to help experimental aerodynamicists orchestrate such workflows.
0-7695-2571-7
65-74
IEEE Computer Society
Paventhan, A
a6275f67-7922-4ca7-b6ce-6717fe3f8fd3
Takeda, Kenji
e97e7bc8-3bd7-49f9-b96c-8c7f0a0b6ecc
Cox, Simon J
d9440aae-d6b0-4da5-b430-0a20452aff1c
Nicole, Denis A
0aca6dd1-833f-4544-b7a4-58fb91c7395a
Barga, Roger S.
Zhou, Xiaofang
Paventhan, A
a6275f67-7922-4ca7-b6ce-6717fe3f8fd3
Takeda, Kenji
e97e7bc8-3bd7-49f9-b96c-8c7f0a0b6ecc
Cox, Simon J
d9440aae-d6b0-4da5-b430-0a20452aff1c
Nicole, Denis A
0aca6dd1-833f-4544-b7a4-58fb91c7395a
Barga, Roger S.
Zhou, Xiaofang

Paventhan, A, Takeda, Kenji, Cox, Simon J and Nicole, Denis A (2006) Leveraging Windows Workflow Foundation for Scientific Workflows in Wind Tunnel Applications. Barga, Roger S. and Zhou, Xiaofang (eds.) In Proceedings of the 22nd International Conference on Data Engineering Workshops (ICDEW'06). IEEE Computer Society. pp. 65-74.

Record type: Conference or Workshop Item (Paper)

Abstract

Scientific and engineering experiments often produce large volumes of data that must be processed and visualised in near-realtime. An example of this, described in this paper, is microphone array processing of data from wind tunnels for aeroacoustic measurements. The overall turnaround time from data acquisition and movement, to data processing and visualization is often inhibited by factors such as manual data movement, system interoperability issues, manual resource discovery for job scheduling, and disparate physical locality between the experiment and scientist or engineer post-event. Workflow frameworks and runtimes can enable rapid composition and execution of complex scientific workflows. In this paper we explore two approaches based on Windows Workflow Foundation, a component of Microsoft WinFX. In our first approach, we present a framework for users to compose sequential workflows and access Globus grid services seamlessly using a .NET-based Commodity Grid Toolkit (MyCoG.NET). We demonstrate how application specific activity sets can be developed and extended by users. In our second approach we highlight how it can be advantageous to keep databases as central to the complete workflow enactment. These two approaches are demonstrated in the context of a wind tunnel Grid system being developed to help experimental aerodynamicists orchestrate such workflows.

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More information

Published date: 2006
Additional Information: Event Dates: 8 April 2006
Venue - Dates: IEEE Workshop on Workflow and Data Flow for Scientific Applications, (SciFlow 2006), United States, 2006-04-08
Organisations: Electronic & Software Systems

Identifiers

Local EPrints ID: 262372
URI: https://eprints.soton.ac.uk/id/eprint/262372
ISBN: 0-7695-2571-7
PURE UUID: 364e6abb-9977-46b8-b792-074f033536c2

Catalogue record

Date deposited: 18 Apr 2006
Last modified: 18 Jul 2017 08:51

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Contributors

Author: A Paventhan
Author: Kenji Takeda
Author: Simon J Cox
Author: Denis A Nicole
Editor: Roger S. Barga
Editor: Xiaofang Zhou

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