TY - GEN A1 - Alfranseder, Martin A1 - Schmidhuber, Stefan A1 - Mucha, Matthias A1 - Sailer, Andreas A1 - Mottok, Jürgen T1 - How to improve the reactiveness and efficiency of embedded multicore systems by use of probabilistic simulation and optimization techniques: A case study BT - Invited Poster Session T2 - Advanced Research Workshop: Improving Disaster Resilience and Mitigation - New Means and Tools, Trends, Iasi Y1 - 2013 ER - TY - CHAP A1 - Mottok, Jürgen A1 - Alfranseder, Martin A1 - Schmidhuber, Stefan A1 - Mucha, Matthias A1 - Sailer, Andreas ED - Teodorescu, Horia-Nicolai ED - Kirschenbaum, Alan ED - Cojocaru, Svetlana ED - Bruderlein, Claude T1 - How to improve the reactiveness and efficiency of embedded multicore systems by use of probabilistic simulation and optimization techniques T2 - Improving Disaster Resilience and Mitigation - New Means and Tools. NATO Science for Peace and Security Series C: Environmental Security N2 - Safe and reliable multi-core technology becomes more and more important in the field of embedded systems. Today’s and future embedded systems require increasing performance while being more energy efficient. Moreover, the functional safety for these embedded systems has to be improved or developed completely new. In this chapter, we first address the challenges of embedded multi-core real-time systems. To raise the resilience of such systems we use the deadlock-free synchronization model of Block et al. (A flexible real-time locking protocol for multiprocessors. 2012 IEEE international conference on embedded and real-time computing systems and applications, vol 0, pp 47–56, 2007). The metric mean Normalized Blocking Time (mNBT) is hereby used to measure the timing effects of the blocking behavior of strongly interacting tasks. In a second step, we present a model-based approach to map the tasks of an embedded real-time system to the cores of a multi-core processor. Moreover, we derive an execution time model from runtime measurements of software functions. This information is then used to perform precise probabilistic simulations of different task-to-core mappings and evaluate them with regard to task response times, inter-task blocking overhead and load distribution. Subsequently, we integrate the probabilistic simulation within an optimization technique to systematically improve the task-to-core mapping. We conclude with a case-study, where we demonstrate the effectiveness of the presented approach by optimizing the task-to-core mapping of a practical automotive powertrain system. KW - Embed System KW - Functional Safety KW - Arrival Curve KW - Task Allocation Problem KW - Deadline Violation Y1 - 2014 U6 - https://doi.org/10.1007/978-94-017-9136-6_16 SP - 253 EP - 268 PB - Springer CY - Dodrecht ER - TY - CHAP A1 - Alfranseder, Martin A1 - Mucha, Matthias A1 - Schmidhuber, Stefan A1 - Sailer, Andreas A1 - Niemetz, Michael A1 - Mottok, Jürgen T1 - A modified synchronization model for dead-lock free concurrent execution of strongly interacting task sets in embedded systems T2 - 2013 International Conference on Applied Electronics (AE 2013), IEEE, 10-12 September 2013, Pilsen, Czech Republic N2 - Global scheduling algorithms are very promising for application in embedded real-time systems using multi-core controllers. In this paper we want to make a first step forward to apply such scheduling methods on real existing systems. Especially a new resource model is necessary to avoid deadlocks, as this goal can not be achieved by using the standard OSEK Priority Ceiling Protocol when shared global resources are in use. We also introduce the new metric mean Normalized Blocking Time in order to be able to compare locking mechanisms according to the timing effects of their blocking behavior. Finally we give a simulative application example of the new metric by the use of two different kinds of semaphore models and an example task set typical for existing embedded real-time systems in the automotive powertrain environment. Y1 - 2013 VL - 18 SP - 13 EP - 18 ER - TY - CHAP A1 - Sailer, Andreas A1 - Schmidhuber, Stefan A1 - Deubzer, Michael A1 - Alfranseder, Martin A1 - Mucha, Matthias A1 - Mottok, Jürgen T1 - Optimizing the task allocation step for multi-core processors within autosar T2 - 2013 International Conference on Applied Electronics, IEEE, Pilsen, Czech Republic N2 - We present a model-based optimization approach for the task allocation problem in embedded multi-core systems. The information therefore is obtained from a system description in AUTOSAR and runtime measurements of the runnables in hardware traces. Based on this an initial software partitioning of runnables to tasks is created. We then use a genetic algorithm to create and evaluate solutions to the task allocation problem. Each solution is hereby evaluated using a discrete event-based simulation, which allows the evaluation with regard to real-time properties, resource consumption and data-communication overhead. The significance of our approach is then shown in a case-study. There, we optimize the task allocation of an embedded system, whose complexity is comparable to that of an actual system, on a multi-core processor. Finally, the results of the optimization are transferred to an ECU Configuration Description to enable further development in compliance with the AUTOSAR methodology. KW - AUTOSAR KW - Multi-Objective Optimization KW - Multi-Core KW - Goodness-of-fit KW - Task Allocation Y1 - 2013 UR - https://ieeexplore.ieee.org/document/6636524 ER -