A MARTE Extension for Global Scheduling Analysis of Multiprocessor Systems

Magdich, Amina; Kacem, Yessine Hadj; Mahfoudhi, Adel; Abid, Mohamed

doi:10.1109/issre.2012.2

Cited by 8 publications

(2 citation statements)

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“…Originally, MARTE supports only the modeling of the systems to be scheduled according to the partitioned approach. In [12] the authors have proposed various updates for MARTE metamodels of specialization and generalization stereotype in order to support global scheduling approaches, allowing task migrations. Those changes allow a schedulable resource to be executed on different computing resources in the same period [13].…”

Section: Related Workmentioning

confidence: 99%

Towards a MARTE Extension to Address Adaptation Mechanisms

Naija

Bruel

Ahmed

2016

2016 IEEE 17th International Symposium on High Assurance Systems Engineering (HASE)

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The profile for Modeling and Analysis of Real-Time and Embedded systems (MARTE) defines a framework for annotating non-functional properties of embedded systems. In particular, the SAM (Schedulability Analysis Model) sub-profile offers stereotypes for annotating UML models with the needed information which will be extracted to fulfill a scheduling phase. However, SAM does not allow designers to specify data to be used in the context of adaptive systems development. In this position paper, we present the related works around the development of adaptive real-time and embedded systems and discuss why we seek to improve the meta-models of MARTE.

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Section: Related Workmentioning

confidence: 99%

Towards a MARTE Extension to Address Adaptation Mechanisms

Naija

Bruel

Ahmed

2016

2016 IEEE 17th International Symposium on High Assurance Systems Engineering (HASE)

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show abstract

“…[15] has proposed various updates for MARTE metamodels of specialization and generalization stereotype in order to support global scheduling approaches, allowing task migrations. Those changes allow a schedulable resource to be executed on different computing resources in the same period.…”

Section: Related Workmentioning

confidence: 99%

Scheduling analysis from architectural models of embedded multi-processor systems

et al. 2014

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As embedded systems need more and more computing power, many products require hardware platforms based on multiple processors. In case of real-time constrained systems, the use of scheduling analysis tools is mandatory to validate the design choices, and to better use the processing capacity of the system.To this end, this paper presents the extension of the scheduling analysis tool Cheddar to deal with multi-processor scheduling. In a Model Driven Engineering approach, useful information about the scheduling of the application is extracted from a model expressed with an architectural language called AADL. We also define how the AADL model must be written to express the standard policies for the multi-processor scheduling.

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