Memory bandwidth regulation for multiframe task sets

• Type: Article in International Conference Proceedings Book
• Date: 2019

Authors

Muhammad Ali Awan (Author) Other; Pedro Souto (Author) FEUP; Konstantinos Bletsas (Author) Other; Benny Akesson (Author) Other; Eduardo Tovar (Author) Other

Conference proceedings International

Title: 25th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2019, Hangzhou, China, August 18-21, 2019

Pages: 1-11

Indexing

Scopus - 0 Citations

Other information

Authenticus ID: P-00R-86K

DOI: 10.1109/rtcsa.2019.8864563

Abstract (EN): Timing analysis of safety-critical real-time embedded systems should be free of both optimistic and pessimistic aspects. The multiframe model was devised to eliminate the pessimism in the schedulability analysis of systems with tasks whose worst-case execution times vary from job to job, according to known patterns. However, this model is optimistic and unsafe for multicores with shared memory controllers, since it ignores memory contention, and existing approaches to stall analysis based on memory regulation are very pessimistic if straightforwardly applied. This paper remedies this by adapting existing stall analyses for memory-regulated systems of conventional Liu-and-Layland tasks to the multiframe model. Experimental evaluations with synthetic task sets (and different task and memory budget assignment heuristics) show up to 85% higher scheduling success ratio for our analysis, compared to the frame-agnostic analysis, enabling higher platform utilisation without compromising safety. We also explore implementation aspects, such as how to speed up the analysis and how to trade off accuracy with tractability. © 2019 IEEE.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 11