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

Service-Oriented Reliable Problem Solving Environment for Scientific Computation

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)
Cancan Liu ; Sch. of Comput. Sci., Nat. Univ. of Defense Technol., Changsha ; Weimin Zhang ; Zhigang Luo ; Hai Liu
more authors

Due to the large-scale and long running of scientific computation under the dynamic and unsteady grid architecture, the capability of fault-tolerance of scientific workflow management system becomes more and more important. In order to handle inevitable failures of activities in workflow, we present a three-level recovery strategy in this paper: in the service level, we provide a distributed Service Agent (SA) for each activity to monitor the execution status of workflow activities and implement the retry-based recovery strategy by submitting the failed activity multiple times; then in the workflow level, workflow engine implements replication-based strategy by request the Service Factory (SF) to create another service instance on a different node and invoke the new service instance for replacement; while in the user level, we provide a user interface for the users to handle the failure on demand. At last, a reliable Problem Solving Environment (PSE) in climate domain called Ensemble Prediction Scientific Workflow (EPSWFlow) is presented. This approach can seamlessly embed the complex control-flow intensive recovery strategies within the dataflow process network. Moreover, it can enable the prediction process more robust and more reusable.

Published in:

Asia-Pacific Services Computing Conference, 2008. APSCC '08. IEEE

Date of Conference:

9-12 Dec. 2008

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.