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Resource Sharing under Multiprocessor Semi-Partitioned Scheduling

Fulltext:


Authors:

Sara Afshar, Farhang Nemati, Thomas Nolte

Research group:

Complex Real-Time Embedded Systems

Publication Type:

Conference/Workshop Paper

Venue:

18th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications

Abstract

Semi-partitioned scheduling has become the subject of recent interest for multiprocessors due to better utilization results, compared to conventional global and partitioned scheduling algorithms. Under semi-partitioned scheduling, a major group of tasks are assigned to fixed processors while a low number of tasks are allocated to more than one processor. Various task assigning techniques have recently been proposed in a semi-partitioned environment. However, a synchronization mechanism for resource sharing among tasks in semi-partitioned scheduling has not yet been investigated. In this paper we propose and evaluate two methods for handling resource sharing under semi-partitioned scheduling in multiprocessor platforms. The main challenge addressed in this paper is to serve the resource requests of tasks that are assigned to different processors.

Bibtex

@inproceedings{Afshar2457,
author = {Sara Afshar and Farhang Nemati and Thomas Nolte},
title = {Resource Sharing under Multiprocessor Semi-Partitioned Scheduling},
month = {August},
year = {2012},
booktitle = {18th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA12)},
url = {http://www.es.mdu.se/publications/2457-}
}