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Resource Sharing under Server-based Multiprocessor Scheduling
Mälardalen University, School of Innovation, Design and Engineering. (IS)ORCID iD: 0000-0002-0474-2904
Mälardalen University, School of Innovation, Design and Engineering. (IS)ORCID iD: 0000-0002-1687-930X
(English)In: 33rd IEEE Real-Time Systems Symposium (RTSS'12), Work-in-Progress (WiP) sessionConference paper, Published paper (Refereed)
Abstract [en]

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.

National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-17392OAI: oai:DiVA.org:mdh-17392DiVA: diva2:579723
Conference
33rd IEEE Real-Time Systems Symposium (RTSS'12), Work-in-Progress (WiP) session,December 4-7, San Juan,Puerto Rico
Available from: 2012-12-20 Created: 2012-12-20 Last updated: 2013-12-03Bibliographically approved

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