Multi-core platforms are becoming the dominant computing architecture for next generation embedded systems. Nevertheless, designing, programming, and analyzing such systems is not easy and a solid methodology is still missing. In this paper, we propose two powerful abstractions to model the computing power of a parallel machine, which provide a general interface for developing and analyzing real-time applications in isolation, independently of the physical platform. The proposed abstractions can be applied on top of different types of service mechanisms, such as periodic servers, static partitions, and P-fair time partitions. In addition, we developed the schedulability analysis of a set of real-time tasks on top of a parallel machine that is compliant with the proposed abstractions.

The Multy Supply Function Abstraction for Multiprocessors

BINI, Enrico;
2009-01-01

Abstract

Multi-core platforms are becoming the dominant computing architecture for next generation embedded systems. Nevertheless, designing, programming, and analyzing such systems is not easy and a solid methodology is still missing. In this paper, we propose two powerful abstractions to model the computing power of a parallel machine, which provide a general interface for developing and analyzing real-time applications in isolation, independently of the physical platform. The proposed abstractions can be applied on top of different types of service mechanisms, such as periodic servers, static partitions, and P-fair time partitions. In addition, we developed the schedulability analysis of a set of real-time tasks on top of a parallel machine that is compliant with the proposed abstractions.
2009
15th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
Beijing, China
24-26 Aug. 2009
Proceedings of the 15th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
IEEE
294
302
9780769537870
E. Bini; G. C. Buttazzo; M. Bertogna
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1608682
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