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Validating reconfigurations of reo circuits in an e-Banking scenario

Published: 17 June 2013 Publication History

Abstract

We formalize dynamic reconfiguration of Reo circuits (which can be thought of as multi-party communication infrastructures built from primitive channels) through graph transformation, and apply it to a scenario from the Finance domain: a critical infrastructure controlling the business process of an e-banking system. In this scenario, reconfiguration is triggered as soon as the communication buffers reach specific predefined thresholds of congestion. These constraints are implemented inside the Reo model by associating suitable predicates to channels, thus extending previous results on the use of graph transformation for the reconfiguration of Reo's graphical structures.

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A. Corradini, U. Montanari, F. Rossi, H. Ehrig, R. Heckel, and M. Lowe. Algebraic Approaches to Graph Transformation - Part I: Basic Concepts and Double Pushout Approach. In G. Rozenberg, editor, Handbook of Graph Grammars and Computing by Graph Transformation, volume 1: Foundations, pages 163--245. World Scientific, 1997.
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    cover image ACM Conferences
    ISARCS '13: Proceedings of the 4th international ACM Sigsoft symposium on Architecting critical systems
    June 2013
    68 pages
    ISBN:9781450321235
    DOI:10.1145/2465470
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 17 June 2013

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    Author Tags

    1. QoS
    2. coordination
    3. graph rewriting
    4. reconfiguration
    5. reo

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    Overall Acceptance Rate 14 of 30 submissions, 47%

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