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
An Adaptive Server-Based Scheduling Framework with Capacity Reclaiming and Borrowing
Publication Type:
Conference/Workshop Paper
Venue:
The 20th IEEE International Conference on embedded and Real-Time Computing Systems and Applications
Abstract
In this paper, we present a new reservation based
scheduling framework for soft real-time systems using EDF
algorithm (called CARB-EDF). This framework has the features
of Capacity Adaptation, Reclaiming and Borrowing. This framework
can simplify the initial configuration of the system, where
the system designer does not need to provide any estimations of
task execution times. We also present a Chebyshev’s inequality
based predictor to estimate task execution times. A number of
simulation-based experiments have been implemented. According
to the results compared with some related works, our scheduling
framework can provide a better performance with acceptable
extra scheduling overhead.
Bibtex
@inproceedings{Liu3753,
author = {Meng Liu and Moris Behnam and Shinpei Kato and Thomas Nolte},
title = {An Adaptive Server-Based Scheduling Framework with Capacity Reclaiming and Borrowing},
month = {August},
year = {2014},
booktitle = {The 20th IEEE International Conference on embedded and Real-Time Computing Systems and Applications},
url = {http://www.es.mdu.se/publications/3753-}
}