Mixed-criticality Scheduling with Dynamic Memory Bandwidth Regulation

• Type: Article in International Conference Proceedings Book
• Date: 2018

Authors

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

Conference proceedings International

Title: 24th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2018, Hakodate, Japan, August 28-31, 2018

Pages: 111-117

Indexing

ISI Web of Knowledge - 2 Citations

Scopus - 3 Citations

INSPEC

Other information

Authenticus ID: P-00Q-2MN

DOI: 10.1109/rtcsa.2018.00022

Abstract (EN): Mixed-criticality multicore system design must often guarantee both safety and high performance. Memory bandwidth regulation among different cores can be a useful tool for guaranteeing safety, as it mitigates the interference when accessing main memory. The use of mode changes and system models like Vestal's can help provide both safety, for critical functions, and scheduling performance, by efficiently utilising the platform. This work therefore combines per-core memory access regulation with the well-established Vestal model and improves on the state-of-the-art in two respects: 1) We allow the memory access budgets of the cores to be dynamically adjusted, when the system undergoes a mode change, reflecting the different needs in each mode, for better schedulability. 2) We devise memory-regulation-aware and stall-aware schedulability analysis for such systems, based on AMC-max. By comparison, the state-of-the-art offered no option of dynamic adjustment of core budgets, and only offered regulation-aware schedulability analysis based on AMC-rtb, which is inherently more pessimistic. Finally, 3) we consider different task assignment and bandwidth allocation heuristics, to assess the improvement from the dynamic memory budgets and new analysis. Our results show improvements in schedulability ratio of up to 9.1% over the state-of-the-art.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 7