Design Models for Reusable and Reconfigurable State Machines

Angelov, Christo; Sierszecki, Krzysztof; Marian, Nicolae

doi:10.1007/11596356_18

Cited by 53 publications

(26 citation statements)

References 5 publications

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“…The authors propose in [20] reusable Function Blocks to implement a broad range of embedded systems such that each block is statically reconfigured without any re-programming. This is accomplished by updating the supporting data structure, i.e.…”

Section: State Of the Art: Reconfigurations Of Iec61499 Embedded Systemsmentioning

confidence: 99%

“…Several interesting academic and industrial research works have been made in recent years to develop reconfigurable control systems [19]. We distinguish in these works two reconfiguration policies: static and dynamic reconfigurations such that static reconfigurations are applied offline to apply changes before system cold starts [20], whereas dynamic reconfigurations are applied dynamically at run-time. Two cases exist in the last policy: manual reconfigurations applied by users [21] and automatic reconfigurations applied by Intelligent Agents [22].…”

Section: Introductionmentioning

confidence: 99%

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Intelligent distributed control systems

Khalgui¹,

Mosbahi²

2010

Information and Software Technology

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Section: State Of the Art: Reconfigurations Of Iec61499 Embedded Systemsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Intelligent distributed control systems

Khalgui¹,

Mosbahi²

2010

Information and Software Technology

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“…The authors propose in [2] reusable tasks to implement a broad range of systems where each task is statically reconfigured without any reprogramming. This is accomplished by updating the supporting data structure, i.e.…”

Section: Reconfiguration Of Systemsmentioning

confidence: 99%

“…Several interesting academic and industrial research works have been made last years to develop reconfigurable systems [1]. We distinguish in these works two reconfiguration policies: static and dynamic reconfigurations where static reconfigurations are applied off-line to apply changes before the system cold start [2], whereas dynamic reconfigurations are applied dynamically at runtime. Two cases exist in the last policy: manual reconfigurations applied by users [3] and automatic reconfigurations applied by Intelligent Agents [4,5].…”

Section: Introductionmentioning

confidence: 99%

Feasible Automatic Reconfigurations of Real-Time OS Tasks

Gharsellaoui

Gharbi

Khalgui

et al. 2012

Handbook of Research on Industrial Informatics and Manufacturing Intelligence

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“…3 reconfigurations are applied offline to modify the assumed system before any system cold start [25], whereas dynamic reconfigurations can be divided into two cases: manual reconfigurations applied by users [26] and automatic reconfigurations applied by intelligent agents [27,28]. This paper focuses on the dynamic reconfigurations of assumed asynchronous real-time embedded control systems that should meet deadlines defined according to user requirements [29].…”

Section: Introductionmentioning

confidence: 99%

New Optimal Solutions for Real-Time Reconfigurable Periodic Asynchronous OS Tasks with Minimizations of Response Times

Gharsellaoui

Gharbi

Mosbahi³

et al.

Embedded Computing Systems

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This research work deals with Reconfigurable Uniprocessor embedded Real-Time Systems to be classically implemented by different OS tasks that we suppose independent, asynchronous and periodic in order to meet functional and temporal properties described in user requirements. We define in the book chapter a schedulability algorithm for preemptable, asynchronous and periodic reconfigurable task systems with arbitrary relative deadlines, scheduled on a uniprocessor by an optimal scheduling algorithm based on the EDF principles and on the dynamic reconfiguration. Two forms of automatic reconfigurations which are assumed to be applied at run-time: Addition-Remove of tasks or just modifications of their temporal parameters: WCET and/or Periods. Nevertheless, when such a scenario is applied to save the system at the occurrence of hardwaresoftware faults, or to improve its performance, some real-time properties can be violated. We define a new semantic of the reconfiguration where a crucial criterion to consider is the automatic improvement of the system's feasibility at run-time by using an Intelligent Agent that automatically checks the system's feasibility after any reconfiguration scenario to verify if all tasks meet the required deadlines. Indeed, if a reconfiguration scenario is applied at run-time, then the Intelligent Agent dynamically provides otherwise precious technical solutions for users to remove some tasks according to predefined heuristic (based on soft or hard task), or by modifying the worst case execution times (WCETs), periods, and/or deadlines of tasks, that violate corresponding constraints by new ones, in order to meet deadlines and to minimize their response time. To handle all possible reconfiguration solutions, we propose an agent-based architecture that applies automatic reconfigurations in order to re-obtain the system's feasibility and to satisfy user requirements. Therefore, we developed the tool RT-Reconfiguration to support these contributions that we apply to a Blackberry Bold 9700 and to a Volvo system as running example systems and we apply the Real-Time Simulator Cheddar to check the whole system behavior and to evaluate the performance of the algorithm (detailed descriptions are available at the website: http://beru.univ-brest.fr/~singhoff/ cheddar). We present simulations of this architecture where we evaluate the agent that we implemented. Also, we present and discuss the results of experiments that compare the accuracy and the performance of our algorithm with others.

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Design Models for Reusable and Reconfigurable State Machines

Cited by 53 publications

References 5 publications

Intelligent distributed control systems

Intelligent distributed control systems

Feasible Automatic Reconfigurations of Real-Time OS Tasks

New Optimal Solutions for Real-Time Reconfigurable Periodic Asynchronous OS Tasks with Minimizations of Response Times

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