Schedulability-Driven Partitioning and Mapping for Multi-Cluster Real-Time Systems

• We present an approach to partitioning and mapping for multi-cluster embedded systems consisting of time-triggered and event-triggered clusters, interconnected via gateways. We have proposed a schedulability analysis for such systems, including a worst-case queuing delay analysis for the gateways, responsible for routing inter-cluster traffic. Based on this analysis, we address design problems which are characteristic to multi-clusters: partitioning of the system functionality into time-triggered and event-triggered domains, and process mapping. We present a branch and bound algorithm for solving these problems. Our heuristic is able to find schedulable implementations under limited resources, achieving an efficient utilization of the system. The developed algorithms are evaluated using extensive experiments and a real-life example.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

TEKNIK OCH TEKNOLOGIER  -- Maskinteknik (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Mechanical Engineering (hsv//eng)

Keyword

multi-cluster scheduling

mapping

embedded systems

time-triggered

event-triggered

Computer science

Datavetenskap

Publication and Content Type

ref (subject category)

kon (subject category)