Self-Aware Scheduling for Mixed-Criticality Component-Based Systems

Schlatow, Johannes; Mostl, Mischa; Ernst, Rolf

doi:10.1109/rtas.2019.00030

Cited by 3 publications

(2 citation statements)

References 29 publications

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“…In order to provide assurance even if the implementation deviates from the model, runtime monitoring should be applied to observe critical model parameters. For instance, execution times can be monitored to maintain the assurance of latency requirements [25].…”

Section: Application Scenariomentioning

confidence: 99%

Automating integration under emergent constraints for embedded systems

Schlatow

Schmidt

Ernst

2021

SICS Softw.-Inensiv. Cyber-Phys. Syst.

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As embedded applications are subject to non-functional requirements (latency, safety, reliability, etc.) they require special care when it comes to providing assurances. Traditionally, these systems are quite static in their software and hardware composition. However, there is an increasing interest in enabling adaptivity and autonomy in embedded systems that cannot be satisfied with preprogrammed adaptations any more. Instead, it requires automated software composition in conjunction with model-based analyses that must adhere to requirements and constraints from various viewpoints. A major challenge in this matter is that embedded systems are subject to emergent constraints which are affected by inter-dependent properties resulting from the software composition and platform configuration. As these properties typically require an in-depth evaluation by complex analyses, a holistic formulation of parameters and their constraints is not applicable. We present a compositional framework for model-based integration of component-based embedded systems. The framework provides a structured approach to perform operations on a cross-layer model for model enrichment, synthesis and analysis. It thereby provides the overarching mechanisms to combine existing models, analyses and reasoning. Furthermore, it automates integration decisions and enables an iterative exploration of feasible system compositions. We demonstrate the applicability of this framework on a case study of a stereo-vision robot that uses a component-based operating system.

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Section: Application Scenariomentioning

confidence: 99%

Automating integration under emergent constraints for embedded systems

Schlatow

Schmidt

Ernst

2021

SICS Softw.-Inensiv. Cyber-Phys. Syst.

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“…processing units, networks, sensors, actors). Changes such as failing hardware will be detected by runtime monitoring ( [11], [12]) that observes the current state of the execution platform. The function model specifies the function architecture (cf.…”

Section: State-of-the-art and Related Workmentioning

confidence: 99%

Demonstrating Controlled Change for Autonomous Space Vehicles

Dorflinger

Albers

Fiethe

et al. 2019

2019 NASA/ESA Conference on Adaptive Hardware and Systems (AHS)

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Recent research discusses concepts of infield changes to overcome the drawbacks of conventional lab-based system design processes. In this paper, we evaluate the concept of controlled change by applying it to a demonstration of a potential future space exploration scenario with mobile robots. The robots are capable of executing several image computations for exploration, object detection and pose estimation, which can be allocated to both FPGA-and processor resources of a System-on-Chip. The demonstrator addresses three scenarios which cover application-, environment-, and platform change. The system adapts itself to any of the named changes. This capability can increase the autonomy of future space missions. Exemplary, the demonstrator executes adaption of applications during operation to fulfill the mission goals, adaption of reliability under changing environment conditions, and adaption to sensor failure.

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A Multi-Budget-Based Approach to Enhance the Responsiveness of Aperiodic Task for a Bandwidth-Preserving Server in Real-Time Systems

Kumar

Gupta

2022

Journal of Information Technology Research

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Within the advanced computation time, real-time application pulled in much more attention. Implementing a better high-quality real-time system requires to improve the responsiveness of the tasks set. This research work aims to achieve the best quality of service (QoS) in terms of improving the responsiveness of aperiodic tasks and also improved acceptability domain, by accepting to execute multiple aperiodic functions while maintaining the feasibility of periodic tasks in Real-Time System.The functional analysis with simulation shows that proposed algorithm is highly effective in terms of task sets deemed schedulable and also by allowing aperiodic tasks that were rejected by existing approaches.The simulation results indicate that it reduces overall average response time of aperiodic task approximately 13% at lowest periodic load (35%), 7% at 60% periodic load and 4% at 80% periodic load and in all observed circumstances the proposed novel algorithm received 7%-10% improve over existing one.

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Self-Aware Scheduling for Mixed-Criticality Component-Based Systems

Cited by 3 publications

References 29 publications

Automating integration under emergent constraints for embedded systems

Automating integration under emergent constraints for embedded systems

Demonstrating Controlled Change for Autonomous Space Vehicles

A Multi-Budget-Based Approach to Enhance the Responsiveness of Aperiodic Task for a Bandwidth-Preserving Server in Real-Time Systems

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