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Optimizing Inter-Core Data-Propagation Delays in Industrial Embedded Systems under Partitioned Scheduling


Publication Type:

Conference/Workshop Paper


26th Asia and South Pacific Design Automation Conference


This paper addresses the scheduling of industrial time-critical applications on multi-core embedded systems. A novel scheduling technique under partitioned scheduling is proposed that minimizes inter-core data-propagation delays between tasks that are activated with different periods. The proposed technique is based on the AUTOSAR standard compliant read-execute-write model for the execution of tasks to guarantee temporal isolation when accessing the shared resources. The technique is evaluated through a series of experiments using a large number of task sets to assess its scalability as well as the resulting schedulability ratio, which is still 18% for two cores that are both utilized 90%. Furthermore, an automotive industrial case study is performed to demonstrate the applicability of the proposed technique to industrial systems. The case study also presents a comparative evaluation of the schedules generated by (i) the proposed technique and (ii) the Rubus-ICE industrial tool suite with respect to jitter, inter-core data-propagation delays and their impact on data age of task chains that span multiple cores.


author = {Lamija Hasanagic and Tin Vidovic and Saad Mubeen and Mohammad Ashjaei and Matthias Becker},
title = {Optimizing Inter-Core Data-Propagation Delays in Industrial Embedded Systems under Partitioned Scheduling},
month = {January},
year = {2021},
booktitle = {26th Asia and South Pacific Design Automation Conference},
url = {}