Resource sharing under server-based multiprocessor scheduling

Authors:
Sara Afshar;Moris Behnam
Affiliations:
Mälardalen University, Västerås, Sweden;Mälardalen University, Västerås, Sweden
Venue:
ACM SIGBED Review - Special Issue on the Work-in-Progress (WiP) session of the 33rd IEEE Real-Time Systems Symposium (RTSS'12)
Year:
2013

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Abstract

In this paper, we investigate a mechanism for handling resource sharing among tasks under a server-based scheduling technique in multiprocessor platforms, which combines partitioned and global scheduling to benefit a better scheduling method compared to conventional techniques.