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Afshar, Sara ZargariORCID iD iconorcid.org/0000-0002-0474-2904
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Publications (3 of 3) Show all publications
Afshar, S., Moghaddami Khalilzad, N., Nemati, F. & Nolte, T. (2015). Resource Sharing among Prioritized Real-Time Applications on Multiprocessors. In: ACM SIGBED Review - Special Issue on the 6th International Workshop on Compositional Theory and Technology for Real-Time Embedded Systems Homepage archiveVolume 12 Issue 1: . Paper presented at 6th Workshop on Compositional Theory and Technology for Real-Time Embedded Systems, Vancouver, Canada, 2013 (pp. 46-55).
Open this publication in new window or tab >>Resource Sharing among Prioritized Real-Time Applications on Multiprocessors
2015 (English)In: ACM SIGBED Review - Special Issue on the 6th International Workshop on Compositional Theory and Technology for Real-Time Embedded Systems Homepage archiveVolume 12 Issue 1, 2015, p. 46-55Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we propose a new protocol for handling resource sharing among prioritized real-time applications composed on a multiprocessor platform. We propose an optimal priority assignment algorithm which assigns unique priorities to the applications based on information in their interfaces. We have performed experimental evaluations to compare the proposed protocol (called MSOS-Priority) to the current state of the art locking protocols under multiprocessor partitioned scheduling, i.e., MPCP, MSRP, FMLP, MSOS, and OMLP. The valuations show that MSOS-Priority mostly performs significantly better than alternative approaches.

National Category
Computer Systems
Identifiers
urn:nbn:se:oru:diva-77142 (URN)10.1145/2752801.2752807 (DOI)
Conference
6th Workshop on Compositional Theory and Technology for Real-Time Embedded Systems, Vancouver, Canada, 2013
Projects
PRESS - Predictable Embedded Software Systems
Available from: 2019-10-10 Created: 2019-10-10 Last updated: 2019-10-10
Afshar, S., Nemati, F. & Nolte, T. (2012). Resource Sharing under Multiprocessor Semi-Partitioned Scheduling. In: 2012 IEEE International Conference on Embedded and Real-Time Computing Systems and Applications: Proceedings. Paper presented at 18th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA 2012), Seoul, South Korea, August 19-22, 2012 (pp. 290-299). IEEE
Open this publication in new window or tab >>Resource Sharing under Multiprocessor Semi-Partitioned Scheduling
2012 (English)In: 2012 IEEE International Conference on Embedded and Real-Time Computing Systems and Applications: Proceedings, IEEE, 2012, p. 290-299Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
IEEE, 2012
Series
IEEE Symposium on Embedded Systems for Real-Time Multimedia, ISSN 2325-1271, E-ISSN 2325-1301
National Category
Computer Sciences
Identifiers
urn:nbn:se:oru:diva-77143 (URN)10.1109/RTCSA.2012.25 (DOI)2-s2.0-84869032347 (Scopus ID)978-1-4673-3017-6 (ISBN)978-0-7695-4824-1 (ISBN)
Conference
18th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA 2012), Seoul, South Korea, August 19-22, 2012
Available from: 2019-10-10 Created: 2019-10-10 Last updated: 2019-10-21Bibliographically approved
Afshar, S., Nemati, F. & Nolte, T. (2012). Towards Resource Sharing under Multiprocessor Semi-Partitioned Scheduling. In: 7th IEEE International Symposium on Industrial Embedded Systems (SIES'12): Conference Proceedings. Paper presented at 7th IEEE International Symposium on Industrial Embedded Systems (SIES'12), Karlsruhe, Germany, June 20-22, 2012 (pp. 315-318). IEEE
Open this publication in new window or tab >>Towards Resource Sharing under Multiprocessor Semi-Partitioned Scheduling
2012 (English)In: 7th IEEE International Symposium on Industrial Embedded Systems (SIES'12): Conference Proceedings, IEEE, 2012, p. 315-318Conference paper, Published paper (Refereed)
Abstract [en]

Semi-partitioned scheduling has been the subject of recent interest, compared with conventional global and partitioned scheduling algorithms for multiprocessors, due to better utilization results. In semi-partitioned scheduling most tasks are assigned to fixed processors while a low number of tasks are split up and allocated to different processors. Various techniques have recently been proposed to assign tasks in a semi-partitioned environment. However, an appropriate resource sharing mechanism for handling the resource requests between tasks in semi-partitioned scheduling has not yet been investigated. In this paper we propose two methods for handling resource sharing under semi-partitioned scheduling in multiprocessor platforms. The main challenge is to handle the resource requests of tasks that are split over multiple processors.

Place, publisher, year, edition, pages
IEEE, 2012
Series
Symposium on Industrial Embedded Systems proceedings, ISSN 2150-3109, E-ISSN 2150-3117
National Category
Computer Sciences
Identifiers
urn:nbn:se:oru:diva-77144 (URN)10.1109/SIES.2012.6356605 (DOI)2-s2.0-84871604362 (Scopus ID)978-1-4673-2683-4 (ISBN)978-1-4673-2685-8 (ISBN)
Conference
7th IEEE International Symposium on Industrial Embedded Systems (SIES'12), Karlsruhe, Germany, June 20-22, 2012
Available from: 2019-10-10 Created: 2019-10-10 Last updated: 2019-10-21Bibliographically approved
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Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-0474-2904

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