Mining and Improving Composite Web Services Recovery Mechanisms - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles International Journal of Web Services Research Year : 2008

Mining and Improving Composite Web Services Recovery Mechanisms

Sami Bhiri
  • Function : Author
  • PersonId : 755745
  • IdRef : 093328702
Walid Gaaloul
Claude Godart
  • Function : Author
  • PersonId : 830462
  • IdRef : 031091733


Ensuring composite services reliability is a challenging problem. Indeed, due to the inherent autonomy and heterogeneity of Web services it is difficult to predict and reason about the behavior of the overall composite service. Generally, previous approaches develop, using their modeling formalisms, a set of techniques to analyze the composition model and check “correctness” properties. Although powerful, these approaches may fail, in some cases, to ensure CS reliable executions even if they formally validate its composition model. This is because properties specified in the studied composition model remains assumptions that may not coincide with the reality (i.e. effective CS executions). Sharing the same issue, we present a reengineering approach that starts from CS executions log to improve its recovery mechanisms. Basically, we propose a set of mining techniques to discover CS transactional behavior from an event based log. Then, based on this mining step, we use a set of rules in order to improve its reliability.


Fichier principal
Vignette du fichier
IJWSR_CameraReady.20.pdf (690.69 Ko) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

inria-00438424 , version 1 (11-12-2009)


  • HAL Id : inria-00438424 , version 1


Sami Bhiri, Walid Gaaloul, Claude Godart. Mining and Improving Composite Web Services Recovery Mechanisms. International Journal of Web Services Research, 2008, 3 (2). ⟨inria-00438424⟩
197 View
363 Download


Gmail Mastodon Facebook X LinkedIn More