By Topic

Enabling self-management of component-based high-performance scientific applications

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
$33 $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

2 Author(s)
Hua Liu ; Dept of Electr. & Comput. Eng., Rutgers Univ., Piscataway, NJ, USA ; Manish Parashar

Emerging high-performance parallel/distributed scientific applications and environments are increasingly large, dynamic and complex. As a result, it requires programming systems that enable the applications to detect and dynamically respond to changing requirements, state and execution context by adapting their computational behaviors and interactions. In this paper, we present such a programming system that extends the common component architecture to enable self-management of component-based scientific applications. The programming system separates and categorizes operational requirements of scientific applications, and allows them to be specified and enforced at runtime through reconfiguration, optimization and healing of individual components and the application. Two scientific simulations are used to illustrate the system and its self-managing behaviors. A performance evaluation is also presented.

Published in:

HPDC-14. Proceedings. 14th IEEE International Symposium on High Performance Distributed Computing, 2005.

Date of Conference:

24-27 July 2005