You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)
  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact webmaster@ide.mdh.se

Analyzing Resource-Usage Impact on Component-Based Systems Performance and Reliability

Fulltext:


Publication Type:

Conference/Workshop Paper

Venue:

International Conference on Computational Intelligence for Modelling Control & Automation

Publisher:

IEEE USA


Abstract

An early prediction of resource utilization and its impact on system performance and reliability can reduce the overall system cost, by allowing early correction of detected problems, or changes in development plans with minimized overhead. Nowadays, researchers are using both academic and commercial models to predict such attributes, by measuring them at earliest stages of system development. In this paper, we give a short overview of existing prediction models for performance and reliability, targeting popular component-based frameworks. Next, we describe our own approach for tackling such predictions, through an illustration on a small example that deals with estimations of energy consumption.

Bibtex

@inproceedings{Causevic1326,
author = {Aida Causevic and Paul Pettersson and Cristina Seceleanu},
title = {Analyzing Resource-Usage Impact on Component-Based Systems Performance and Reliability},
month = {December},
year = {2008},
booktitle = {Proceedings of International Conference on Innovation in Software Engineering - ISE08},
publisher = {IEEE USA},
url = {http://www.es.mdh.se/publications/1326-}
}