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

Saving Energy by Means of Dynamic Load Management in Embedded Multicore Systems

Fulltext:


Authors:

Matthias Becker, Adriaan Schmidt , Martin Orehek , Thomas Nolte

Research group:

Complex Real-Time Embedded Systems

Publication Type:

Conference/Workshop Paper

Venue:

9th IEEE International Symposium on Industrial Embedded Systems

Abstract

Load balancing is widely used to optimize response times and throughput of software systems. When considering embedded systems, however, additional optimization goals like energy consumption become relevant. In this paper, we explore the use of load balancing in embedded multicore applications. We present extensions to three prominent load balancing schemes, enabling them to dynamically scale the number of active cores. We integrated the algorithms in a proprietary operating system targeting multicore embedded systems. Our evaluation, which is based on a telecommunication (VoIP) scenario, shows that a significant reduction in energy consumption is possible.

Bibtex

@inproceedings{Becker3528,
author = {Matthias Becker and Adriaan Schmidt and Martin Orehek and Thomas Nolte},
title = {Saving Energy by Means of Dynamic Load Management in Embedded Multicore Systems},
month = {June},
year = {2014},
booktitle = {9th IEEE International Symposium on Industrial Embedded Systems},
url = {http://www.es.mdu.se/publications/3528-}
}