HUBzero and Pegasus: integrating scientific workflows into science gateways

نویسندگان

  • Michael McLennan
  • Steven M. Clark
  • Ewa Deelman
  • Mats Rynge
  • Karan Vahi
  • Frank McKenna
  • Derrick Kearney
  • Carol X. Song
چکیده

In this paper, we described the benefits and the challenges of integrating existing scientific workflow technologies into science gateways. Scientific workflow managers are powerful tools for handling large computational tasks. Domain scientists find it difficult to create new workflows, so many tasks that could benefit from workflow automation are often avoided or performed by hand. Two technologies have come together to bring the benefits of workflow to the masses. The Pegasus Workflow Management System can manage workflows comprised of millions of tasks, all the while recording data about the execution and intermediate results so that the provenance of the final result is clear. The HUBzero platform for scientific collaboration provides a venue for building and delivering tools to researchers and educators. With the press of a button, these tools can launch Pegasus workflows on national computing infrastructures and bring results back for plotting and visualization. As a result, the combination of Pegasus and HUBzero is bringing highthroughput computing to a much wider audience. Copyright © 2014 John Wiley & Sons, Ltd.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Bringing Scientific Workflow to the Masses via Pegasus and HUBzero

Scientific workflow managers are powerful tools for handling large computational tasks. Domain scientists find it difficult to create new workflows, so many tasks that could benefit from workflow automation are often avoided or done by hand. Two technologies have come together to bring the benefits of workflow to the masses. The Pegasus Workflow Management System can manage workflows comprised ...

متن کامل

Pegasus: A framework for mapping complex scientific workflows onto distributed systems

This paper describes the Pegasus framework that can be used to map complex scientific workflows onto distributed resources. Pegasus enables users to represent the workflows at an abstract level without needing to worry about the particulars of the target execution systems. The paper describes general issues in mapping applications and the functionality of Pegasus. We present the results of impr...

متن کامل

Pegasus: Mapping Scientific Workflows onto the Grid

In this paper we describe the Pegasus system that can map complex workflows onto the Grid. Pegasus takes an abstract description of a workflow and finds the appropriate data and Grid resources to execute the workflow. Pegasus is being released as part of the GriPhyN Virtual Data Toolkit and has been used in a variety of applications ranging from astronomy, biology, gravitational-wave science, a...

متن کامل

Editorial : Scientific Workflows , Provenance and Their Applications

Scientific workflows play a crucial role in modern eScience [5] where many significant scientific discoveries are achieved through complex and distributed computations. For many scientists in the Life Sciences, in bioinformatics, geosciences, chemistry, physics, and numerous other domains, scientific workflows have become an enabling technology to formalize and automate complex and data intensi...

متن کامل

Wings for Pegasus: A Semantic Approach to Creating Very Large Scientific Workflows

Scientific workflows are being developed for many domains as a paradigm to manage complex scientific computations. In our work, we are challenged with efficiently generating and validating workflows that contain large amounts (hundreds to thousands) of individual computations to be executed over distributed environments. We describe a new approach to workflow creation and validation that uses s...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Concurrency and Computation: Practice and Experience

دوره 27  شماره 

صفحات  -

تاریخ انتشار 2015