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

The Multi-Resource Server for Predictable Execution on Multi-core Platforms

Fulltext:


Authors:

Rafia Inam, Nesredin Mahmud, Moris Behnam, Thomas Nolte, Mikael Sjödin

Research groups:

Model-Based Engineering of Embedded Systems
Complex Real-Time Embedded Systems

Publication Type:

Conference/Workshop Paper

Venue:

20th IEEE Real-Time and Embedded Technology and Applications Symposium

Publisher:

IEEE

Abstract

In this paper we present an implementation and demonstration of the Multi-Resource Server (MRS) which enables predictable execution of real-time applications on multi-core platforms. The MRS provides temporal isolation both between tasks running on the same core, as well as, between tasks running on different cores. The latter could, without MRS, interfere with each other due to contention on a shared memory bus. We demonstrate that MRS can be used to ”encapsulate” legacy systems and to give them enough resources to fulfill their purpose. In our case study a legacy media-player is integrated with several resource-hungry tasks running at a different core. We show that without MRS the media-player starts to drop frames due to the interference from other tasks; while introduction of MRS alleviates this problem. Another part of our demonstration shows how traditional periodic real-time tasks can be kept schedulable even when tasks with high memory-demand are added to the system.

Bibtex

@inproceedings{Inam3482,
author = {Rafia Inam and Nesredin Mahmud and Moris Behnam and Thomas Nolte and Mikael Sj{\"o}din},
title = {The Multi-Resource Server for Predictable Execution on Multi-core Platforms},
booktitle = {20th IEEE Real-Time and Embedded Technology and Applications Symposium},
publisher = {IEEE},
url = {http://www.es.mdu.se/publications/3482-}
}