Mechanisms for Leveraging Models at Runtime in Self-adaptive Software

Amel Bennaceur; Robert France; Giordano Tamburelli; Thomas Vogel; Pieter J. Mosterman; Walter Cazzola; Fabio M. Costa; Alfonso Pierantonio; Matthias Tichy; Mehmet Aksit; Pär Emanuelson; Huang Gang; Nikolaos Georgantas; David Redlich

doi:10.1007/978-3-319-08915-7_2

Mechanisms for Leveraging Models at Runtime in Self-adaptive Software

Amel Bennaceur, Robert France, Giordano Tamburelli, Thomas Vogel, Pieter J. Mosterman, Walter Cazzola, Fabio M. Costa, Alfonso Pierantonio, Matthias Tichy, Mehmet Aksit, Pär Emanuelson, Huang Gang, Nikolaos Georgantas, David Redlich

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

24 Citations (Scopus)

5 Downloads (Pure)

Abstract

Modern software systems are often required to adapt their behavior at runtime in order to maintain or enhance their utility in dynamic environments. Models at runtime research aims to provide suitable abstractions, techniques, and tools to manage the complexity of adapting software systems at runtime. In this chapter, we discuss challenges associated with developing mechanisms that leverage models at runtime to support runtime software adaptation. Specifically, we discuss challenges associated with developing effective mechanisms for supervising running systems, reasoning about and planning adaptations, maintaining consistency among multiple runtime models, and maintaining fidelity of runtime models with respect to the running system and its environment. We discuss related problems and state-of-the-art mechanisms, and identify open research challenges

Original language	Undefined
Title of host publication	Models@run.time
Place of Publication	Switzerland
Publisher	Springer
Pages	19-46
Number of pages	28
ISBN (Print)	978-3-319-08914-0
DOIs	https://doi.org/10.1007/978-3-319-08915-7_2
Publication status	Published - 2014

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer International Publishing
Number	8378
Volume	8378
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Keywords

EWI-25918
IR-95920
METIS-312545

Cite this

Bennaceur, A., France, R., Tamburelli, G., Vogel, T., Mosterman, P. J., Cazzola, W., ... Redlich, D. (2014). Mechanisms for Leveraging Models at Runtime in Self-adaptive Software. In Models@run.time (pp. 19-46). (Lecture Notes in Computer Science; Vol. 8378, No. 8378). Switzerland: Springer. https://doi.org/10.1007/978-3-319-08915-7_2

Bennaceur, Amel ; France, Robert ; Tamburelli, Giordano ; Vogel, Thomas ; Mosterman, Pieter J. ; Cazzola, Walter ; Costa, Fabio M. ; Pierantonio, Alfonso ; Tichy, Matthias ; Aksit, Mehmet ; Emanuelson, Pär ; Gang, Huang ; Georgantas, Nikolaos ; Redlich, David. / Mechanisms for Leveraging Models at Runtime in Self-adaptive Software. Models@run.time. Switzerland : Springer, 2014. pp. 19-46 (Lecture Notes in Computer Science; 8378).

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abstract = "Modern software systems are often required to adapt their behavior at runtime in order to maintain or enhance their utility in dynamic environments. Models at runtime research aims to provide suitable abstractions, techniques, and tools to manage the complexity of adapting software systems at runtime. In this chapter, we discuss challenges associated with developing mechanisms that leverage models at runtime to support runtime software adaptation. Specifically, we discuss challenges associated with developing effective mechanisms for supervising running systems, reasoning about and planning adaptations, maintaining consistency among multiple runtime models, and maintaining fidelity of runtime models with respect to the running system and its environment. We discuss related problems and state-of-the-art mechanisms, and identify open research challenges",

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author = "Amel Bennaceur and Robert France and Giordano Tamburelli and Thomas Vogel and Mosterman, {Pieter J.} and Walter Cazzola and Costa, {Fabio M.} and Alfonso Pierantonio and Matthias Tichy and Mehmet Aksit and P{\"a}r Emanuelson and Huang Gang and Nikolaos Georgantas and David Redlich",

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doi = "10.1007/978-3-319-08915-7_2",

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Bennaceur, A, France, R, Tamburelli, G, Vogel, T, Mosterman, PJ, Cazzola, W, Costa, FM, Pierantonio, A, Tichy, M, Aksit, M, Emanuelson, P, Gang, H, Georgantas, N & Redlich, D 2014, Mechanisms for Leveraging Models at Runtime in Self-adaptive Software. in Models@run.time. Lecture Notes in Computer Science, no. 8378, vol. 8378, Springer, Switzerland, pp. 19-46. https://doi.org/10.1007/978-3-319-08915-7_2

Mechanisms for Leveraging Models at Runtime in Self-adaptive Software. / Bennaceur, Amel; France, Robert; Tamburelli, Giordano; Vogel, Thomas; Mosterman, Pieter J.; Cazzola, Walter; Costa, Fabio M.; Pierantonio, Alfonso; Tichy, Matthias; Aksit, Mehmet; Emanuelson, Pär; Gang, Huang; Georgantas, Nikolaos; Redlich, David.

Models@run.time. Switzerland : Springer, 2014. p. 19-46 (Lecture Notes in Computer Science; Vol. 8378, No. 8378).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

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AU - Bennaceur, Amel

AU - France, Robert

AU - Tamburelli, Giordano

AU - Vogel, Thomas

AU - Mosterman, Pieter J.

AU - Cazzola, Walter

AU - Costa, Fabio M.

AU - Pierantonio, Alfonso

AU - Tichy, Matthias

AU - Aksit, Mehmet

AU - Emanuelson, Pär

AU - Gang, Huang

AU - Georgantas, Nikolaos

AU - Redlich, David

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AB - Modern software systems are often required to adapt their behavior at runtime in order to maintain or enhance their utility in dynamic environments. Models at runtime research aims to provide suitable abstractions, techniques, and tools to manage the complexity of adapting software systems at runtime. In this chapter, we discuss challenges associated with developing mechanisms that leverage models at runtime to support runtime software adaptation. Specifically, we discuss challenges associated with developing effective mechanisms for supervising running systems, reasoning about and planning adaptations, maintaining consistency among multiple runtime models, and maintaining fidelity of runtime models with respect to the running system and its environment. We discuss related problems and state-of-the-art mechanisms, and identify open research challenges

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Access to Document

10.1007/978-3-319-08915-7_2

chp%3A10.1007%2F978-3-319-08915-7_2
open