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A Specification Language for Performance and Economical Analysis of Short Term Data Intensive Energy Management Services

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Economics of Grids, Clouds, Systems, and Services (GECON 2015)

Abstract

Requirements of Energy Management Services include short and long term processing of data in a massively interconnected scenario. The complexity and variety of short term applications needs methodologies that allow designers to reason about the models taking into account functional and non-functional requirements. In this paper we present a component based specification language for building trustworthy continuous dataflow applications. Component behaviour is defined by Petri Nets in order to translate to the methodology all the advantages derived from a mathematically based executable model to support analysis, verification, simulation and performance evaluation. The paper illustrates how to model and reason with specifications of advanced data flow abstractions such as smart grids.

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Notes

  1. 1.

    http://www.renew.de.

  2. 2.

    http://www.di.unito.it/~greatspn.

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Acknowledgments

This work was co-financed by the Industry and Innovation deparment of the Aragonese Government and European Social Funds (COSMOS research group, ref. T93); and by the Spanish Ministry of Economy under the program “Programa de I+D+i Estatal de Investigación, Desarrollo e innovación Orientada a los Retos de la Sociedad”, project id TIN2013-40809-R.

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Correspondence to José Ángel Bañares .

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Merino, A., Tolosana-Calasanz, R., Bañares, J.Á., Colom, JM. (2016). A Specification Language for Performance and Economical Analysis of Short Term Data Intensive Energy Management Services. In: Altmann, J., Silaghi, G., Rana, O. (eds) Economics of Grids, Clouds, Systems, and Services. GECON 2015. Lecture Notes in Computer Science(), vol 9512. Springer, Cham. https://doi.org/10.1007/978-3-319-43177-2_10

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  • DOI: https://doi.org/10.1007/978-3-319-43177-2_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-43176-5

  • Online ISBN: 978-3-319-43177-2

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