QoS-Driven Selection of Composable Web Services

Zeina Azmeh 1 Driss Maha 2 Marianne Huchard 1 Moha Naouel 3 Chouki Tibermacine 4
2 TRISKELL - Reliable and efficient component based software engineering
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
4 MAREL - Models And Reuse Engineering, Languages
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : Web Services are universally accessible software units that are advertised, discovered, and invoked over the internet. As web service technology is becoming widely adopted by organizations that need to integrate their information systems within and across organizational boundaries, it is important to identify automatically relevant composable services. In this paper, we propose an approach based on a variant of Formal Concept Analysis for the identification of composable services. It allows the classification of web services according to their QoS and composability levels and proposes a query mechanism that allows users to specify their required QoS and composability levels.In the case of multiple choices that satisfy users' requirements, we enhance our approach with a mechanism based on vectors for identifying the optimized choice. We validate our approach on a set of real-world web services obtained from Service-Finder.
Document type :
Reports
Complete list of metadatas

Cited literature [23 references]  Display  Hide  Download

https://hal-lirmm.ccsd.cnrs.fr/lirmm-00565357
Contributor : Zeina Azmeh <>
Submitted on : Friday, February 11, 2011 - 8:18:34 PM
Last modification on : Wednesday, August 14, 2019 - 3:10:21 PM
Long-term archiving on : Thursday, May 12, 2011 - 2:58:25 AM

File

WISE10.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : lirmm-00565357, version 1

Citation

Zeina Azmeh, Driss Maha, Marianne Huchard, Moha Naouel, Chouki Tibermacine. QoS-Driven Selection of Composable Web Services. RR-11005, 2010. ⟨lirmm-00565357⟩

Share

Metrics

Record views

751

Files downloads

631