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Extension of the Ocarina Tool Suite to Support Reliable Replication-Based Fault-Tolerance

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Abstract

Replication is a reliability technique that involves redundancy of software or hardware components to guarantee availability for fault tolerance purposes. Several studies focused on modelling fault tolerance of real-time embedded systems using replication of AADL (Architecture Analysis & Design Language) components. Manual replication with AADL is a tedious task, error-prone and increases design time.

To support the automatic replication of AADL components, we propose in this paper an extension of the AADL Ocarina tool suite. For that, based on a set of transformation rules, we assist the designer to automatically generate standard AADL models enriched with variants and adjudicators. This is based on a three-step model driven approach. First, we enable the designer to model his or her core application using AADL. Second, the designer enriches the model with a property set that we defined to describe replication concepts. Finally, applying a set of transformation rules, we generate an intermediate AADL model enriched with different replicas using Ocarina. This generated model can be analysed, formally verified, used for application code generation or even replication of other components. To illustrate our approach, we apply an active replication to a robot system chosen as a case study.

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Notes

  1. 1.

    More details about this case study, the textual description of its core AADL model as well as generated intermediate models are available at http://goo.gl/QeXJMr. The description of the property set Replication_Properties, the transformation algorithms and other case studies are also given at the same link.

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Correspondence to Wafa Gabsi .

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Gabsi, W., Zalila, B., Jmaiel, M. (2016). Extension of the Ocarina Tool Suite to Support Reliable Replication-Based Fault-Tolerance. In: Bertogna, M., Pinho, L., Quiñones, E. (eds) Reliable Software Technologies – Ada-Europe 2016. Ada-Europe 2016. Lecture Notes in Computer Science(), vol 9695. Springer, Cham. https://doi.org/10.1007/978-3-319-39083-3_9

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  • DOI: https://doi.org/10.1007/978-3-319-39083-3_9

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  • Print ISBN: 978-3-319-39082-6

  • Online ISBN: 978-3-319-39083-3

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