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Article
Context-aware data and IT services collaboration in E-business
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Khouloud Boukadi, École des Mines de Saint-Étienne
  • Chirine Ghedira, Université Claude Bernard Lyon 1
  • Zakaria Maamar, Zayed University
  • Djamal Benslimane, Université Claude Bernard Lyon 1
  • Lucien Vincent, École des Mines de Saint-Étienne
Document Type
Conference Proceeding
Publication Date
11-24-2009
Abstract

This paper discusses the use of services in the design and development of adaptable business processes, which should let organizations quickly react to changes in regulations and needs. Two types of services are adopted namely Data and Information Technology. A data service is primarily used to hide the complexity of accessing distributed and heterogeneous data sources, while an information technology service is primarily used to hide the complexity of running requests that cross organizational boundaries. The combination of both services takes place under the control of another service, which is denoted by service domain. A service domain orchestrates and manages data and information technology services in response to the events that arise and changes that occur. This happens because service domains are sensible to context. Policies and aspect-oriented programming principles support the exercise of packaging data and information technology services into service domains as well as making service domains adapt to business changes. © 2009 Springer.

ISBN
3642037216
Publisher
Springer Berlin Heidelberg
Disciplines
Keywords
  • Aspect-oriented programming,
  • Context,
  • Policy,
  • Service,
  • Service adaptation
Scopus ID
70449714179
Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1007/978-3-642-03722-1_4
Citation Information
Khouloud Boukadi, Chirine Ghedira, Zakaria Maamar, Djamal Benslimane, et al.. "Context-aware data and IT services collaboration in E-business" Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 5740 LNCS (2009) p. 91 - 115 ISSN: <a href="https://v2.sherpa.ac.uk/id/publication/issn/0302-9743" target="_blank">0302-9743</a>
Available at: http://works.bepress.com/zakaria-maamar/323/