NDLI: A simulation methodology for worst-case response time estimation of distributed real-time systems (2008)

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A simulation methodology for worst-case response time estimation of distributed real-time systems (2008)

Content Provider	CiteSeerX
Author	Samii, Soheil Rafiliu, Sergiu Eles, Petru Peng, Zebo
Description	in Proceedings of the Design, Automation and Test in Europe Conference In this paper, we propose a simulation-based methodology for worst-case response time estimation of distributed realtime systems. Schedulability analysis produces pessimistic upper bounds on process response times. Consequently, such an analysis can lead to overdesigned systems resulting in unnecessarily increased costs. Simulations, if well conducted, can lead to tight lower bounds on worst-case response times, which can be an essential input at design time. Moreover, such a simulation methodology is very important in situations when the running application or the underlying platform is such that no formal timing analysis is available. Another important application of the proposed simulation environment is the validation of formal analysis approaches, by estimating their degree of pessimism. We have performed such an estimation of pessimism for two responsetime analysis approaches for distributed embedded systems based on two of the most important automotive communication protocols: CAN and FlexRay. 1. Introduction and Related Prior
File Format	PDF
Language	English
Publisher Date	2008-01-01
Access Restriction	Open
Subject Keyword	Responsetime Analysis Approach Essential Input Distributed Realtime System Underlying Platform Simulation-based Methodology Simulation Environment Formal Timing Analysis Important Application Process Response Time Overdesigned System Distributed Real-time System Formal Analysis Approach Pessimistic Upper Bound Worst-case Response Time Simulation Methodology Design Time Schedulability Analysis Worst-case Response Time Estimation Important Automotive Communication Protocol
Content Type	Text
Resource Type	Article

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