MeSViz: Visualizing Scenario-based Meta- Schedules for Adaptive Time-Triggered Systems

Konferenz: AmE 2018 – Automotive meets Electronics - 9. GMM-Fachtagung
07.03.2018 - 08.03.2018 in Dortmund, Deutschland

Tagungsband: GMM-Fb. 90: AmE 2018

Seiten: 6Sprache: EnglischTyp: PDF

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Sorkhpour, Babak; Obermaisser, Roman (Department of Electrical Engineering and Computer Science, University of Siegen, Germany)

A time-triggered Multi-Processor System-on-a-Chip (MPSoC) satisfies essential requirements of safety-critical embedded systems such as determinism and fault containment. Scenario-based meta-scheduling improves the flexibility in such a system by pre-computing different schedules at design time and allowing mode changes between schedules at run-time. Therefore, scheduling algorithms are required for solving the scenario-based temporal/spatial mapping of jobs to cores and messages to the Network-on-a-Chip (NoC). The meta-scheduling is highly relevant for automotive electronics. Safety-relevant automotive functions are based on time-triggered networks and can benefit from the meta-scheduling for improved energy-efficiency, flexibility, and dependability. To understand the complexity of developing these algorithms; developers need a global, abstract graphical visualization of their schedules. Engineers also need effective debugging and validation methods for scheduling algorithms to trace and view their output, thus saving time and cost. In this paper, we introduce MeSViz a tool dedicated to visualizing scenariobased meta-schedules as GANTT charts and tree-based graph.