Designing heterogeneous ECU networks via compact architecture encoding and hybrid timing analysis

Glaß, Michael; Lukasiewycz, Martin; Teich, Jürgen; Bordoloi, Unmesh D.; Chakraborty, Samarjit

doi:10.1145/1629911.1629925

Cited by 16 publications

(16 citation statements)

References 17 publications

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“…The major design decisions are made on the electronic system level (ESL), where it is decided whether system tasks are implemented in software or hardware, how the system architecture is built (allocation), and on which core each software module is executed (deployment/binding) by considering multiple objectives and constraints. This optimization problem is generally NP-complete [20]. Therefore, various techniques for automatized ESL design have been proposed in the literature, see [19] for a survey.…”

Section: Model-based Deployment For Heterogeneous Cps Platformsmentioning

confidence: 99%

“…For example, hardware cost is often modeled by a linear cost function, whereas timing and power are tackled by simulation-based performance evaluation [4,26]. In case of hard real-time requirements, the evaluation is performed by applying complex timing analysis techniques to obtain worst-case task execution times (WCET) [20]. In this case, a design candidate is only feasible if the WCET is smaller than a given deadline.…”

Section: Model-based Development Of Apsmentioning

confidence: 99%

“…This happens automatically and has proven high scalability for designing distributed systems, see e.g. [20]. The result is a set of Pareto-optimal CPPS design candidates.…”

Section: Strength Of the Combined Approachmentioning

confidence: 99%

See 2 more Smart Citations

Towards the co-evolution of industrial products and its production systems by combining models from development and hardware/software deployment in cyber-physical systems

Vogel‐Heuser

Wildermann

Teich

2017

Prod. Eng. Res. Devel.

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Section: Model-based Deployment For Heterogeneous Cps Platformsmentioning

confidence: 99%

Section: Model-based Development Of Apsmentioning

confidence: 99%

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Towards the co-evolution of industrial products and its production systems by combining models from development and hardware/software deployment in cyber-physical systems

Vogel‐Heuser

Wildermann

Teich

2017

Prod. Eng. Res. Devel.

Self Cite

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“…Note that the messages of app 3 and app 5 are larger than the MTU and, thus, will be fragmented. The message routings, traffic classes, and the idleSlopes for the CBS queues are determined by employing an automatic design space exploration framework [25,26]. To evaluate the timing behavior, the simulation is configured automatically and simulates a given scenario of 10 seconds.…”

Section: Case Studymentioning

confidence: 99%

Design and Evaluation of Future Ethernet AVB-Based ECU Networks

Glaß

Graf

Reimann

et al. 2013

Embedded Systems Development

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Due to ever-increasing bandwidth requirements of modern automotive applications, Ethernet AVB is becoming a standard high-speed bus in automotive E/E architectures. Since Ethernet AVB is tailored to audio and video entertainment, existing analysis approaches neglect the specific requirements and features of heterogeneous E/E architectures and their applications. This chapter presents a virtual prototyping approach to consider Ethernet AVB in complex E/E architectures, reflecting key features such as static routing and stream reservation, fixed topology, and real-time applications. A comparison with a timing analysis on case studies from the automotive domain gives evidence that the proposed simulation technique delivers valuable bounds for complete sensor-to-actuator chains, enabling automatic system synthesis and design space exploration approaches. Future Communication Media for ECU NetworksModern automotive E/E architectures consist of more than 100 Electronic Control Units (ECUs), numerous sensors and actuators, as well as a complex communication architecture comprising a heterogeneous system of (field) buses that are connected via gateways. Already today and even more in the near future, the bandwidth of well-

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“…multi-objective Evolutionary Algorithm as proposed in [20]. The critical design decisions for this case study are given in Table III.…”

Section: B Optimizationmentioning

confidence: 99%

Robust design of embedded systems

Lukasiewycz¹,

Teich²

2010

2010 Design, Automation &Amp; Test in Europe Conference &Amp; Exhibition (DATE 2010)

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Abstract-This paper presents a methodology to evaluate and optimize the robustness of an embedded system in terms of invariability in case of design revisions. Early decisions in embedded system design may be revised in later stages resulting in additional costs. A method that quantifies the expected additional costs as the robustness value is proposed. Since the determination of the robustness based on arbitrary revisions is computationally expensive, an efficient set-based approach that uses a symbolic encoding as Binary Decision Diagrams is presented. Moreover, a methodology for the integration of the optimization of the robustness into a design space exploration is proposed. Based on an external archive that accepts also near-optimal solutions, this robustness-aware optimization is efficient since it does not require additional function evaluations as previous approaches. Two realistic case studies give evidence of the benefits of the proposed approach. I. INTRODUCTIONA large number of design decisions are made early in the design process of embedded systems. If one or more of these design decision have to be revised later in the design process, additional costs arise. In a worst-case scenario, a single revised design decision might lead to a string of additional design changes in order to keep the solution feasible in terms of both the design and objectives. A viable approach to avoid these late changes might be the exclusion of all solutions that contain any critical design decision. However, in general this approach is too restrictive, leading either to a lack of feasible designs or unacceptable objectives.In order to overcome these shortcomings in state-of-the-art embedded system design, this paper introduces the robustness related to design revisions. In this context, a solution is termed robust if the expected additional costs due to design revisions are minor. The determined robustness value shall support a designer in the decision making by additional information about the design alternatives. On the other hand, the robustness might be used in a design space exploration to enable the search for robust solutions.Contributions: The evaluation of the robustness in embedded system design is a challenging task. Known approaches that consider the direct neighborhood in the solution space are not applicable due to numerous constraints and the resulting low number of feasible solutions. In contrast, an approach based on a given reference set of acceptable solutions is proposed. The focus of this paper are possible design revisions in subsequent design stages that might cause additional costs. An approach that takes arbitrary design revisions into account is presented. Since this approach is computationally expensive, an efficient algorithm based on a symbolic encoding is proposed to overcome this drawback.In order to optimize the robustness value within a design space exploration, a methodology that incorporates the robustness evaluation in the optimization process is presented. Using an external archive as ...

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Designing heterogeneous ECU networks via compact architecture encoding and hybrid timing analysis

Cited by 16 publications

References 17 publications

Towards the co-evolution of industrial products and its production systems by combining models from development and hardware/software deployment in cyber-physical systems

Towards the co-evolution of industrial products and its production systems by combining models from development and hardware/software deployment in cyber-physical systems

Design and Evaluation of Future Ethernet AVB-Based ECU Networks

Robust design of embedded systems

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