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Design-time Models for Resiliency

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Conceptual Modeling Perspectives

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Abstract

Resiliency in process-aware information systems is based on the availability of recovery flows and alternative data for co** with missing data. In this paper, we discuss an approach to process and information modeling to support the specification of recovery flows and alternative data. In particular, we focus on processes using sensor data from different sources. The proposed model can be adopted to specify resiliency levels of information systems, based on event-based and temporal constraints.

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Acknowledgements

This work is partly supported by the H2020 European project no. 731945 DITAS - “Data-intensive applications Improvement by moving daTA and computation in mixed cloud/fog environmentS”3 and by the Sapienza project “Data-aware Adaptation of Knowledge intensive Processes in Cyber-Physical Domains through Action-based Languages”.

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Authors and Affiliations

  1. Sapienza Università di Roma, Rome, Italy

    Andrea Marrella & Massimo Mecella

  2. Politecnico di Milano, Milan, Italy

    Barbara Pernici & Pierluigi Plebani

Authors
  1. Andrea Marrella
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  2. Massimo Mecella
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  3. Barbara Pernici
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  4. Pierluigi Plebani
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Corresponding author

Correspondence to Andrea Marrella .

Editor information

Editors and Affiliations

  1. ICREA, Universitat Oberta de Catalunya, Barcelona, Spain

    Jordi Cabot

  2. Department of Service and Information System Engineering, Universitat Politècnica de Catalunya, Barcelona, Spain

    Cristina Gómez

  3. PROS Research Center, Universitat Politècnica de València, Valencia, Spain

    Oscar Pastor

  4. Education and Training Department, Barcelona Supercomputing Center, Barcelona, Spain

    Maria Ribera Sancho

  5. Department of Service and Information System Engineering, Universitat Politècnica de Catalunya, Barcelona, Spain

    Ernest Teniente

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Marrella, A., Mecella, M., Pernici, B., Plebani, P. (2017). Design-time Models for Resiliency. In: Cabot, J., Gómez, C., Pastor, O., Sancho, M., Teniente, E. (eds) Conceptual Modeling Perspectives. Springer, Cham. https://doi.org/10.1007/978-3-319-67271-7_8

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  • DOI: https://doi.org/10.1007/978-3-319-67271-7_8

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