Regression-Based Bootstrapping of Web Service Reputation Measurement

Okba Tibermacine 1 Chouki Tibermacine 2 Foudil Cherif 1
2 MAREL - Models And Reuse Engineering, Languages
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : In the literature, many solutions for measuring the reputation of web services have been proposed. These solutions help in building service recommendation systems. Nonetheless, there are still many challenges that need to be addressed in this context, such as the " cold start " problem, and the lack of estimation of the initial reputation values of newcomer web services. As reputation measurement depends on the previous reputation values, the lack of initial values can subvert the performance of the whole service recommendation system, making it vulnerable to different threats, like the Sybil attack. In this paper, we propose a new bootstrapping mechanism for evaluating the reputation of newcomer web services based on their initial Quality of Service (QoS) attributes, and their similarity with " long-standing " web services. Basically, the technique uses regression models for estimating the unknown reputation values of newcomer services from their known values of QoS attributes. The technique has been experimented on a large set of services, and its performance has been measured using some statistical metrics, such as the coefficient of determination (R 2) and the Mean Square Error (MSE).
Type de document :
Communication dans un congrès
ICWS: International Conference on Web Services, Jun 2015, New York, United States. IEEE, pp.377-384, 2015, 13th IEEE International Conference on Web Services (ICWS'15). 〈http://conferences.computer.org/icws/2015/〉. 〈10.1109/ICWS.2015.57〉
Liste complète des métadonnées

Littérature citée [20 références]  Voir  Masquer  Télécharger

https://hal-lirmm.ccsd.cnrs.fr/lirmm-01235445
Contributeur : Chouki Tibermacine <>
Soumis le : lundi 30 novembre 2015 - 11:25:54
Dernière modification le : jeudi 24 mai 2018 - 15:59:22
Document(s) archivé(s) le : samedi 29 avril 2017 - 01:00:33

Fichier

main.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

Citation

Okba Tibermacine, Chouki Tibermacine, Foudil Cherif. Regression-Based Bootstrapping of Web Service Reputation Measurement. ICWS: International Conference on Web Services, Jun 2015, New York, United States. IEEE, pp.377-384, 2015, 13th IEEE International Conference on Web Services (ICWS'15). 〈http://conferences.computer.org/icws/2015/〉. 〈10.1109/ICWS.2015.57〉. 〈lirmm-01235445〉

Partager

Métriques

Consultations de la notice

143

Téléchargements de fichiers

215