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

Resource Sharing among Real-Time Components under Multiprocessor Clustered Scheduling

Fulltext:


Publication Type:

Report

Publisher:

MRTC


Abstract

In this paper we generalize our recently presented synchronization protocol (MSOS) for resource sharing among independently-developed real-time systems (real-time components) on multi-core platforms. Each component is statically allocated on a dedicated subset of processors (cluster) whose tasks are scheduled by its own scheduler. In this paper we focus on multiprocessor global fixed priority preemptive scheduling algorithms to be used to schedule the tasks of each component on its cluster. Sharing the local resources (only shared by tasks within a component) is handled by the Priority Inheritance Protocol (PIP). For sharing the global resources (shared across components) we have studied the usage of FIFO and Round-Robin queues for access across the components and the usage of FIFO and prioritized queues within components for handling sharing of these resources. We have derived schedulability analysis for the different alternatives and compared their performance by means of experimental evaluations. Finally, we have formulated the integration phase in the form of a nonlinear integer programming problem whose techniques can be used to minimize the total number of required processors by all components.

Bibtex

@techreport{Nemati2112,
author = {Farhang Nemati and Thomas Nolte},
title = {Resource Sharing among Real-Time Components under Multiprocessor Clustered Scheduling},
month = {May},
year = {2011},
publisher = {MRTC},
url = {http://www.es.mdu.se/publications/2112-}
}