Period optimization for hard real-time distributed automotive systems

Abhijit Davare*, Zhu Qi, Marco Di Natale, Claudio Pinello, Sri Kanajan, Alberto Sangiovanni-Vincentelli

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

111 Scopus citations


The complexity and physical distribution of modern active-safety automotive applications requires the use of distributed architectures. These architectures consist of multiple electronic control units (ECUs) connected with standardized buses. The most common configuration features periodic activation of tasks and messages coupled with run-time priority-based scheduling. The correct deployment of applications on such architectures requires end-to-end latency deadlines to be met. This is challenging since deadlines must be enforced across a set of ECUs and buses, each of which supports multiple functionality. The need for accommodating legacy tasks and messages further complicates the scenario. In this work, we automatically assign task and message periods for distributed automotive systems. This is accomplished by leveraging schedulability analysis within a convex optimization framework to simultaneously assign periods and satisfy end-to-end latency constraints. Our approach is applied to an industrial case study as well as an example taken from the literature and is shown to be both effective and efficient.

Original languageEnglish (US)
Title of host publication2007 44th ACM/IEEE Design Automation Conference, DAC'07
Number of pages6
StatePublished - 2007
Event2007 44th ACM/IEEE Design Automation Conference, DAC'07 - San Diego, CA, United States
Duration: Jun 4 2007Jun 8 2007

Publication series

NameProceedings - Design Automation Conference
ISSN (Print)0738-100X


Other2007 44th ACM/IEEE Design Automation Conference, DAC'07
Country/TerritoryUnited States
CitySan Diego, CA


  • Activation period
  • Automotive systems
  • End-to-end latency

ASJC Scopus subject areas

  • Hardware and Architecture
  • Control and Systems Engineering


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