Cart (Loading....) | Create Account
Close category search window
 

Building the Trident Scientific Workflow Workbench for Data Management in the Cloud

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Simmhan, Y. ; Microsoft Res., Redmond, WA, USA ; Barga, R. ; van Ingen, C. ; Lazowska, E.
more authors

Scientific workflows have gained popularity for modeling and executing in silico experiments by scientists for problem-solving. These workflows primarily engage in computation and data transformation tasks to perform scientific analysis in the Science Cloud. Increasingly workflows are gaining use in managing the scientific data when they arrive from external sensors and are prepared for becoming science ready and available for use in the Cloud. While not directly part of the scientific analysis, these workflows operating behind the Cloud on behalf of the -data valets¿ play an important role in end-to-end management of scientific data products. They share several features with traditional scientific workflows: both are data intensive and use Cloud resources. However, they also differ in significant respects, for example, in the reliability required, scheduling constraints and the use of provenance collected. In this article, we investigate these two classes of workflows - Science Application workflows and Data Preparation workflows - and use these to drive common and distinct requirements from workflow systems for eScience in the Cloud. We use workflow examples from two collaborations, the NEPTUNE oceanography project and the Pan-STARRS astronomy project, to draw out our comparison. Our analysis of these workflows classes can guide the evolution of workflow systems to support emerging applications in the Cloud and the Trident Scientific Workbench is one such workflow system that has directly benefitted from this to meet the needs of these two eScience projects.

Published in:

Advanced Engineering Computing and Applications in Sciences, 2009. ADVCOMP '09. Third International Conference on

Date of Conference:

11-16 Oct. 2009

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.