Machine Learning for Emergent Middleware

Amel Bennaceur, Valérie Issarny, Daniel Sykes, Falk Howar, Malte Isberner, Bernhard Steffen, Richard Johansson, Alessandro Moschitti

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Highly dynamic and heterogeneous distributed systems are challenging today's middleware technologies. Existing middleware paradigms are unable to deliver on their most central promise, which is offering interoperability. In this paper, we argue for the need to dynamically synthesise distributed system infrastructures according to the current operating environment, thereby generating "Emergent Middleware" to mediate interactions among heterogeneous networked systems that interact in an ad hoc way. The paper outlines the overall architecture of Enablers underlying Emergent Middleware, and in particular focuses on the key role of learning in supporting such a process, spanning statistical learning to infer the semantics of networked system functions and automata learning to extract the related behaviours of networked systems.

Original languageEnglish
Title of host publicationCommunications in Computer and Information Science
PublisherSpringer Verlag
Pages16-29
Number of pages14
Volume379 CCIS
ISBN (Print)9783642452598
DOIs
Publication statusPublished - 1 Jan 2013
Externally publishedYes
Event2nd International Workshop on Trustworthy Eternal Systems via Evolving Software, Data and Knowledge, EternalS 2012 - Montpellier, France
Duration: 28 Aug 201228 Aug 2012

Publication series

NameCommunications in Computer and Information Science
Volume379 CCIS
ISSN (Print)18650929

Other

Other2nd International Workshop on Trustworthy Eternal Systems via Evolving Software, Data and Knowledge, EternalS 2012
CountryFrance
CityMontpellier
Period28/8/1228/8/12

Fingerprint

Middleware
Learning systems
Interoperability
Computer systems
Semantics

Keywords

  • Automata learning
  • Automated Mediation
  • Interoperability
  • Machine learning
  • Natural language processing

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Bennaceur, A., Issarny, V., Sykes, D., Howar, F., Isberner, M., Steffen, B., ... Moschitti, A. (2013). Machine Learning for Emergent Middleware. In Communications in Computer and Information Science (Vol. 379 CCIS, pp. 16-29). (Communications in Computer and Information Science; Vol. 379 CCIS). Springer Verlag. https://doi.org/10.1007/978-3-642-45260-4_2

Machine Learning for Emergent Middleware. / Bennaceur, Amel; Issarny, Valérie; Sykes, Daniel; Howar, Falk; Isberner, Malte; Steffen, Bernhard; Johansson, Richard; Moschitti, Alessandro.

Communications in Computer and Information Science. Vol. 379 CCIS Springer Verlag, 2013. p. 16-29 (Communications in Computer and Information Science; Vol. 379 CCIS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bennaceur, A, Issarny, V, Sykes, D, Howar, F, Isberner, M, Steffen, B, Johansson, R & Moschitti, A 2013, Machine Learning for Emergent Middleware. in Communications in Computer and Information Science. vol. 379 CCIS, Communications in Computer and Information Science, vol. 379 CCIS, Springer Verlag, pp. 16-29, 2nd International Workshop on Trustworthy Eternal Systems via Evolving Software, Data and Knowledge, EternalS 2012, Montpellier, France, 28/8/12. https://doi.org/10.1007/978-3-642-45260-4_2
Bennaceur A, Issarny V, Sykes D, Howar F, Isberner M, Steffen B et al. Machine Learning for Emergent Middleware. In Communications in Computer and Information Science. Vol. 379 CCIS. Springer Verlag. 2013. p. 16-29. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-642-45260-4_2
Bennaceur, Amel ; Issarny, Valérie ; Sykes, Daniel ; Howar, Falk ; Isberner, Malte ; Steffen, Bernhard ; Johansson, Richard ; Moschitti, Alessandro. / Machine Learning for Emergent Middleware. Communications in Computer and Information Science. Vol. 379 CCIS Springer Verlag, 2013. pp. 16-29 (Communications in Computer and Information Science).
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